Bio Lab Classification And Evolution

Bio Lab Classification And Evolution.

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UMUC Asia DE lab – Evolution © UMUC – all rights reserved.

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Lab 8. Evolution

Introduction

Evolution is often defined as change over time, usually in response to a change in the environment. What this means is that the gene pool of a population shifts as time passes.

What is a gene pool? It is simply the collection of all the available alleles of all the genes on all the chromosomes in the population. What’s a population? It is the group of individuals that have geographic and behavioral mating access to each other. Geographic access is obvious; the dandelions in a yard in Virginia are not in the same gene pool as those in a yard in Pennsylvania, even if they are the same species. They could mate if they were brought together, but dandelion pollen doesn’t blow that far, so they are geographically isolated. Behavioral mating access can be less obvious; one example would be a stag that keeps all other males out of his territory and mates with all the does. The other stags are not allowed to mate, so their genes are not in the pool.

A great deal of the time for most species, evolution is not occurring. The gene pool stays the same, because the environmental situation is not changing. In the early days of population genetics, people argued over whether dominant alleles could “take over” a gene pool without any selection. Two mathematicians, Hardy and Weinberg, showed that this would not happen.

The basis of their argument is that the gene pool will not change, and the frequency of the various alleles will stay the same if the following conditions are met:

· The population is large.

· The population is freely interbreeding at random (this excludes the stag and the does).

· No individuals are taking their alleles out of the population (emigrating) or adding their alleles to the population (immigrating), so the percentages of the alleles can’t change because of migration.

· There are no mutations, so no new alleles appear.

· None of the alleles has a selective advantage (in other words, there aren’t any combinations of alleles that give some individuals a better chance of surviving that anyone else).

Here is the mathematical basis of their argument:

Imagine a simple situation in which a gene has only two alleles, A and a, and A is dominant. Let the frequency of A, expressed as a decimal with a value less than one, be p, and let the frequency of a, expressed as a decimal with a value less than one, be q. Because there are only two alleles, every allele must be either A or a, so,

p + q = 1

By definition, p and q are also the frequencies of the alleles in the eggs and sperm produced by this species. These sperm and eggs can come together in four ways when random mating occurs.

1. The chance that a male p sperm will meet a female p egg is p x p, or p2. The children produced by this cross will be genetically AA and express the dominant allele; they will have the A phenotype.

2. The chance that a male p sperm will meet a female q egg is p x q, or pq. The children produced by this cross will be genetically Aa and express the dominant allele; they will also have the A phenotype.

3. The chance that a male q sperm will meet a female p egg is also p x q, or pq. The children produced by this cross will also be genetically Aa and express the dominant allele; they will also have the A phenotype.

4. The chance that a male q sperm will meet a female egg is q, or q2. The children produced by this cross will be genetically aa and express the recessive allele; they will have the a phenotype.

These four situations are the only possibilities, so

p2 + pq + pq + q2 = 1 (1.0 represents 100% of all possible events in a mating)

When we combine the middle two terms, we get

p2 + 2pq + q2 = 1

These two formulas,

p + q = 1

p2 + 2pq + q2 = 1

summarize what is known as the Hardy-Weinberg Law.

However, usually we don’t know the frequency of the alleles in a population; in most cases, we can’t even see the gametes! If we want to know what the frequencies of the alleles are, we have to use these two formulas to figure it out.

The most important things to remember are the two formulas above. In these formulas,

· p = the frequency of the dominant allele

· q = the frequency of the recessive allele

· p2 = the frequency of individuals in the population who are homozygous dominant

· 2pq = the frequency of individuals in the population who are heterozygous

· q2 = the frequency of individuals in the population who are homozygous recessive

Materials

· Three colours of beans (chili, pinto and navy are good, but any three contrasting objects will do – M&Ms, coins, beads, etc).

· Two bowls

· A pocket calculator (MS Windows has one too)

Procedure

Two alleles which control hair texture are incompletely dominant to each other, and the phenotypic expression of hair texture is a function of which alleles are present. The genotypes and phenotypes are:

Genotype Phenotype
C1C1 curly
C1C2 wavy
C2C2 straight

This is where Hardy-Weinberg comes in. Recall:

p2 + 2pq + q2 = 1.0

Remember:

p2 = the frequency of the C1C1s

2pq = the frequency of the C1C2s

q2 = the frequency of the C2C2s

These percentages will remain stable through all subsequent rounds of mating of this population.

Please refer to the following table for calculation references. Also, please adjust the calculations for the rest of the tables.

Please submit this Lab Report Sheet in Webtycho in the Assignments folder.

Data Sheet – Sample table and calculations:

image1.png

Student answers to questions

1. In the absence of selection, what happens to gene frequencies in a population?

Type your answer here. This textbox expands as you type.

2. What have you learned about population genetics so far? i.e., what do these results tell you about how genes in a gene pool behave under tightly controlled (i.e., artificial/hypothetical) circumstances?

Type your answer here. This textbox expands as you type.

<more below>

image2.wmf

You’ll use your three colours of beans (or any 3 objects of your choice), from this point on, to represent the individuals in your population.  The red (chili) beans represent the homozygous dominants (C1C1 – curlies), the mottled (pinto) beans the heterozygotes (C1C2 – wavies), and the white (navy) beans the homozygous recessives (C2C2 – straights). 

Pick the beans (objects) two at a time and record your results here. Use the example above (page 6) to help you in your calculations).

Experiment 1

In this first exercise, you are going to determine what happens when you allow your population of 80 to interbreed freely.

In a bowl, place the correct numbers of the three colours of beans to represent the population of 80 people.  For 20 C1C1s, 40 C1C2‘s, and 20 C2C2’s, you would choose 20 red beans, 40 pinto beans, and 20 white beans (or any three different objects you chose).  Mix them thoroughly and then, without peeking (i.e., at random), withdraw two beans (or two objects).  Record the genotypes represented by the two beans.

Example :  if you withdraw a white bean and a pinto bean the first time, then you will record one (1) C2C2 x C1C2; you have mated one pair.

Put your first two beans in the second bowl and continue to draw pairs of beans from the first bowl until you have withdrawn all 40 pairs.  Your records will now show a series of 80 random matings from this population.

There are six possible combinations:

1. C1C1 x C1C1 (two chili beans),

2. C1C1 x C1C2 (one chili, one pinto),

3. C1C1 x C2C2 (one chili, one navy),

4. C1C2 x C1C2 (two pintos),

5. C1C2 x C2C2 (one pinto, one navy), and

6. C2C2 x C2C2 (two navies).

Record the total number for each of the six matings.

Data sheet (fill in the BLUE and YELLOW areas).

(see page 6 for detailed calculation help).

      MATINGS OFFSPRING = Matings x 4 C1S C2S  
C1C1 X C1C1          
C1C1 X C1C2          
C1C1 X C2C2          
C1C2 X C1C2          
C1C2 X C2C2          
C2C2 X C2C2          
              total
P= Frequency of C1 =  
Q= Frequency of C2 =  

3.    How do these compare with the parental generation?

Type your answer here. This textbox expands as you type.

4.    What principle have you demonstrated with this exercise?

Type your answer here. This textbox expands as you type.

<scroll down for more>

Experiment 2

Put your beans back in the bowl.  This time, withdraw only 20 pairs (= 20 random matings), and record the results as you did in Task 1.

Next, calculate the offspring of this generation:  again, assume 4 offspring per mating.  Total the numbers of C1C1s, C1C2s and C2C2s. and then calculate the allele frequencies.  Finally, determine the genotypic frequencies.

 

Data sheet (fill in the BLUE and YELLOW areas).

(see page 6 for detailed calculation help).

      MATINGS OFFSPRING = Matings x 4 C1S C2S  
C1C1 X C1C1          
C1C1 X C1C2          
C1C1 X C2C2          
C1C2 X C1C2          
C1C2 X C2C2          
C2C2 X C2C2          
              total
P= Frequency of C1 =  
Q= Frequency of C2 =  

5.    How do these last P and Q (frequencies) compare with the P (parental) generation (Experiment 1)?

Type your answer here. This textbox expands as you type.

6.    If you repeated this experiment (i.e., you selected another 20 pairs from the bowl) would you expect to get the same result?  Why or why not?

Type your answer here. This textbox expands as you type.

7. What principle have you illustrated this time?

Type your answer here. This textbox expands as you type.

<scroll down for more>

Experiment 3

Now you are going to assume that your population has been invaded by an ET which is a human predator.  It particularly fancies people with curly hair – eats them preferentially – and when it moves on (looking for more of its favourite lunch), your population has been denuded of curlies (C1C1).

Set up your new population in the bowl, and go through the mating (bean picking/ withdrawal) procedure again, recording your results.  Again, assume that each mating produces four offspring.

(see page 6 for detailed calculation help).

      MATINGS OFFSPRING = Matings x 4 C1S C2S  
C1C2 X C1C2          
C1C2 X C2C2          
C2C2 X C2C2          
              total
P= Frequency of C1 =  
Q= Frequency of C2 =  

8.    What is going on?

Type your answer here. This textbox expands as you type.

9.    How have the relative proportions of C1s and C2s changed?

Type your answer here. This textbox expands as you type.

10.    What principle have you demonstrated here?

Type your answer here. This textbox expands as you type.

<scroll down for more>

Experiment 4

Go back to your population in Experiment 3.  This time, assume that through some further natural disaster which has discriminated against people with wavy hair, half the wavies have also been lost.  Allow this population to breed at random and determine the outcome of the next generation.

(see page 6 for detailed calculation help).

      MATINGS OFFSPRING = Matings x 4 C1S C2S  
C1C2 X C1C2          
C1C2 X C2C2          
C2C2 X C2C2          
              total
P= Frequency of C1 =  
Q= Frequency of C2 =  

13.    What is going on this time?

Type your answer here. This textbox expands as you type.

14.    What if this trend continues?

Type your answer here. This textbox expands as you type.

SUMMARY

15.   Summarize what you have learned from this lab about the principles of evolution.

Type your answer here. This textbox expands as you type.

Define (one short sentence each):

1) Evolution

2) Microevolution

3) Macroevolution

4) Genetic Drift

5) Natural selection

What did you learn about or in each of the following?

a) The Hardy-Weinberg Equilibrium

b) Experiment 1

c) Experiment 2

d) Experiment 3

e) Experiment 4

PAGE

Page 2 of 15

Bio Lab Classification And Evolution

 
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HSA 535HSA 535 FINAL EXAM PART 2 FINAL EXAM PART 2

HSA 535HSA 535 FINAL EXAM PART 2 FINAL EXAM PART 2. Question 1 

In the Yearly Mortality Bill for 1632, consumption referred to:

 

dysentery

 

tuberculosis

 

smallpox

 

edema

Question 2 

Cyclic variations in the occurrence of pneumonia and influenza mortality may reflect:

 

seasonal variations in cases of influenza.

 

the fact that influenza is a disappearing disorder.

 

long-term changes in mortality trends.

 

both A and B

Question 3 

Which of the following is not usually an aim of epidemiology?

 

To describe
the health status of the population

 

To fund new public health programs

 

To explain
the etiology of disease

 

To predict
the occurrence of disease

 

To control
the distribution of disease

Question 4 

Indicate the level of prevention that is represented by screening for breast cancer

 

Primary Prevention Active

 

Primary Prevention Passive

 

Secondary Prevention

 

Tertiary Prevention

Question 5 

The difference between primary and secondary prevention of disease is:

 

primary prevention means control of causal factors, while   secondary prevention means control of symptoms.

 

primary prevention means control of acute disease, while   secondary prevention means control of chronic disease.

 

primary prevention means control of causal factors, while   secondary prevention means early detection and treatment of disease.

 

primary prevention means increasing resistance to disease,   while secondary prevention means decreasing exposure to disease.

Question 6 

Indicate the level of prevention that is represented by pasteurization of milk

 

Primary Prevention Active

 

Primary Prevention Passive

 

Secondary Prevention

 

Tertiary Prevention

Question 7 

Determining workload and planning the scope of facilities and manpower needs, particularly for chronic disease. Is this a use for incidence or prevalence data?

 

This is a use primarily for incidence data.

 

This is a use primarily for prevalence data.

 

This application could apply equally for both incidence and   prevalence data.

 

This is a use for neither incidence data nor prevalence data.

Question 8 

An epidemiologic survey of roller-skating injuries in Metroville, a city with a population of 100,000 (during the midpoint of the year), produced the following data for a particular year:
 

Number of skaters in   Metroville during any given month

12,000

 

Roller-skating   injuries in Metroville

600

 

Total number of   residents injured from roller-skating

1,800

 

Total number of   deaths from roller-skating

90

 

Total number of   deaths from all causes

900

 

The cause-specific mortality rate from roller-skating was:

 

90/600 × 100,000

 

90/100,000 × 100,000

 

90/1,800 × 100,000

 

90/900 × 100,000

Question 9 

To provide a direct estimate of the risk of developing a disease. Is this a use for incidence or prevalence data?

 

This is a use primarily for incidence data.

 

This is a use primarily for prevalence data.

 

This application could apply equally for both incidence and   prevalence data.

 

This is a use for neither incidence data nor prevalence data.

Question 10 

Which of the following statements most accurately expresses the breeder hypothesis for schizophrenia?

 

The conditions of life in lower-class society favor its   development.

 

The conditions of life in upper-class society favor its   development.

 

The illness leads to the clustering of psychosis in the impoverished   areas of a city.

 

The illness is associated with increases in creative talents,   which contribute to wealth-enhancing achievements.

Question 11 

Descriptive epidemiology has the following characteristics (Choose the incorrect
option):

 

provides the basis for planning and evaluation of health   services.

 

allows causal inference from descriptive data.

 

allows comparisons by age, sex, and race.

 

uses case reports, case series, and cross-sectional studies.

 

identifies problems to be studied by analytic methods.

Question 12 

A null hypothesis is most similar to which of the following?

 

Positive declaration

 

Negative declaration

 

Implicit question

 

Explicit question

Question 13 

Which of the following data sources is most likely to provide a representative sample of the general health status of a population?

 

hospital outpatient statistics

 

absenteeism data

 

data from public health clinics

 

a morbidity survey of the general population

Question 14 

Cautious use of information from death certificates is warranted because:

 

certificates are not available for everyone who dies

 

certificates are often erroneous for date of death and sex

 

cause of death information may not be correct

 

autopsy results are not included

Question 15 

Ecologic studies:

 

are expensive and require a great deal of time to conduct

 

are a good approach for generating hypotheses

 

provide accurate measurements of exposure

 

yield results that can be applied directly to individuals

Question 16 

A large medical center’s oncology program reported an increased number of cases of pancreatic cancer during a certain month. The hospital’s epidemiologist decided to research the problem. Tumor registry records were searched to identify all cases of pancreatic cancer during a five-year period; cancer patients were matched with patients treated for other diseases during the same five-year period. All subjects in the study were questioned about lifestyle factors including alcohol, tea, and coffee consumption. The resulting data are as follows:

 

DATA

 

Cancer Patients

Other Patients

 

Men

Women

Men

Women

 

LIFESTYLE VARIABLE

 

Alcohol

185

120

270

260

 

Tea Drinking

140

110

230

225

 

Coffee Drinking

190

140

270

240

 

Note:   Total number of male cancer patients = 200.
Total number of female cancer patients = 150.
Total number of male patients (other diseases) = 300.
Total number of female patients (other diseases) = 300.
Does this study have an exposure status variable?

 

No

 

Yes, lifestyle

 

Yes, disease type

 

Yes, sex of patient

Question 17 

In case-control studies, the odds ratio is used as an estimate of the relative risk. In order for this approximation to be reasonable, some conditions must be met. Which of the following conditions is not necessary in order to use the odds ratio to estimate the relative risk?

 

With respect to exposure, controls are representative of the   population to which you want to generalize your results.

 

The event (disease) under study is rare in the population.

 

The exposure in question is rare in the population.

 

Cases are representative of all cases.

Question 18 

As an epidemiologist you are going to investigate the effect of a drug suspected of causing malformations in newborn infants when the drug in question is taken by pregnant women during the course of their pregnancies. As your sample you will use the next 200 single births occurring in a given hospital. For each birth a medication history will be taken from the new mother and from her doctor; in addition, you will review medical records to verify use of the drug. [N.B.: These mothers are considered to have been followed prospectively during the entire course of their pregnancies, because a complete and accurate record of drug use was maintained during pregnancy.]
The resultant data are:
Forty mothers have taken the suspected drug during their pregnancies. Of these mothers, 35 have delivered malformed infants. In addition, 10 other infants are born with malfunctions.
The number of individuals who both did not take the drug and did not give birth to infants who were malformed was:

 

140

 

150

 

155

 

160

 

170

Question 20 

Which of the following individuals helped draw people’s attention to the method of cohort analysis?

 

Snow

 

Frost

 

Graunt

 

Hill

Question 21 

A new screening test for Lyme disease is developed for use in the general population. The sensitivity and specificity of the new test are 60% and 70%, respectively. Three hundred people are screened at a clinic during the first year the new test is implemented. Assume the true prevalence of Lyme disease among clinic attendees is 10%.
Calculate the following values:
The predictive value of a positive test is:

 

33.0%

 

18.2%

 

94.0%

 

22.2%

 

6.0%

Question 22 

Drs. Poke and Jab (2014) conducted an employee health program that used 5 screening tests at the same time to detect diseases among workers. Which type of program is this?

 

Selective screening

 

Mass screening

 

Ad hoc screening

 

Multiphasic screening

Question 23 

Sensitivity and specificity of a screening test refer to its:

 

reliability

 

validity

 

yield

 

repeatability

Question 24 

You have just finished administering a food/drink questionnaire to ill and non-ill participants in a Minnesota summer picnic party. The ill individuals developed moderate to severe diarrhea 16 to 46 hours after the picnic. Six persons experienced vomiting. The following data were collected:

 

ATE

DID NOT EAT

 

Number of people

Number of people

 

Food item

Ill

Not ill

Total

Ill

Not ill

Total

 

Hot dogs

40

30

70

10

20

30

 

Hamburgers

32

8

40

20

40

60

 

Potato salad

45

25

70

15

25

40

 

Ice cream

48

12

60

2

38

40

 

Lemonade

20

40

60

20

20

40

 

Which food item appears to be the most probable vehicle for the salmonella (agent) infection associated with the illness?

 

Hot dogs

 

Hamburgers

 

Potato salad

 

Ice cream

 

Lemonade

Question 25 

An outbreak of salmonellosis occurred after an epidemiology department luncheon, which was attended by 485 faculty and staff. Assume everyone ate the same food items. Sixty-five people had fever and diarrhea, five of these people were severely affected. Subsequent laboratory tests on everyone who attended the luncheon revealed an additional 72 cases.
Foods served at the luncheon included home-canned olives, chicken salad, homemade flavored drink mix, freshly baked rolls, and raw vegetables. Based on your understanding of foods that potentially are capable of transmitting salmonella, the most likely source of the outbreak was:

 

home-canned olives

 

chicken salad

 

drink mix

 

freshly baked rolls

 

raw vegetables

Question 26 

The site where a disease agent enters the body is the:

 

reservoir

 

portal of entry

 

vehicle

 

portal of exit

Question 27 

A situation in which the combined effect of several exposures is greater than the sum of the individual effects:

 

threshold

 

latency

 

synergism

 

square

Question 28 

It has been suggested that occupational exposure to benzene in the petroleum industry increases the risk of developing leukemia. The levels of benzene to which workers in this industry have been exposed were high from 1940 to 1970, but since 1970 have been significantly reduced. What kind of study design, using petroleum workers, would provide the most useful information on whether benzene affects incidence rates of leukemia in this industry? You may assume that records of individual worker assignments to jobs involving benzene exposure have been maintained by the industry.

 

Experimental

 

Retrospective cohort

 

Prospective cohort

 

Case-control

 

Cross-sectional

Question 29 

The type A behavior pattern is hypothesized to be a risk factor for:

 

chronic obstructive pulmonary disease

 

coronary heart disease

 

rheumatoid arthritis

 

retirement

Question 30 

Which of the following statements describes a stressful life event?

 

discrepancy between husband and wife in social and educational   status

 

goodness of fit between the characteristics of the person and   environment

 

an occurrence that might cause readjustments in people’s   activities

 

sleeping

HSA 535HSA 535 FINAL EXAM PART 2 FINAL EXAM PART 2

 
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Lab 2: The Chemistry of Life

Lab 2: The Chemistry of Life.

Your Full Name:

UMUC Biology 102/103

Lab 2: The Chemistry of Life

INSTRUCTIONS:

 

· On your own and without assistance, complete this Lab 2 Answer Sheet electronically and submit it via the Assignments Folder by the date listed in the Course Schedule (under Syllabus).

· To conduct your laboratory exercises, use the Laboratory Manual located under Course Content. Read the introduction and the directions for each exercise/experiment carefully before completing the exercises/experiments and answering the questions.

· Save your Lab 2 Answer Sheet in the following format: LastName_Lab2 (e.g., Smith_Lab2).

· You should submit your document as a Word (.doc or .docx) or Rich Text Format (.rtf) file for best compatibility.

 

 

Pre-Lab Questions

 

1. Nitrogen fixation is a natural process by which inert or unreactive forms of nitrogen are transformed into usable nitrogen. Why is this process important to life?

 

 

2. Given what you have learned about the hydrogen bonding shared between nucleic acids in DNA, which pair is more stable under increasing heat: adenine and thymine, or cytosine and guanine? Explain why.

 

 

3. Which of the following is not an organic molecule; Methane (CH4), Fructose (C6H12O6), Rosane (C20H36), or Ammonia (NH3)? How do you know?

 

 

 

 

Experiment 1: Testing for Proteins

Data Tables and Post-Lab Assessment

Table 1: A Priori Predictions

Sample Initial Color Final Color Is Protein Present?
1. Albumin Solution      
2. Gelatin Solution      
3. Glucose      
4. Water      
5. Unknown      

 

Sample Initial Color Final Color Is Protein Present?
1. Albumin Solution      
2. Gelatin Solution      
3. Glucose      
4. Water      
5. Unknown      

 

Table 2: Testing for Proteins Results

 

 

Take a picture of your results. Include a note with your name and date on an index card in the picture. Insert picture here:

 

Post-Lab Questions

1. Write a statement to explain the molecular composition of the unknown solution based on the results obtained during testing with each reagent.

 

 

 

2. How did your a priori predictions from Table 1 compare to your actual results in Table 2? If there were any inconsistencies, explain why this occurred.

 

 

 

3. Identify the positive and negative controls used in this experiment. Explain how each of these controls are used, and why they are necessary to validate the experimental results.

 

 

 

4. Identify two regions which proteins are vital components in the human body. Why are they important to these regions?

 

 

 

5. Diet and nutrition are closely linked to the study of biomolecules. Describe one method by which you could monitor your food intake to ensure the cells in your body have the materials necessary to function.

 

Experiment 2: Testing for Reducing Sugars

Data Tables and Post-Lab Assessment

Table 3: Testing for Reducing Sugars Results

 

Sample Initial Color Final Color  

Reducing Sugar Present

1 – Potato      
2 – Onion      
3 – Glucose Solution      
4 – Water      
5 – Unknown      

 

 

Take a picture of your results. Include a note with your name and date on an index card in the picture. Insert picture here:

 

Post-Lab Questions

1. What can you conclude about the molecular make-up of potatoes and onions based on the two tests you performed? Why might these foods contain these substance(s)?

 

 

 

2. What results would you expect if you tested ribose, a monosaccharide, with Benedict’s solution? Biuret solution?

 

 

 

 

Experiment 3: What Household Substances are Acidic or Basic?

Data Tables and Post-Lab Assessment

Table 4: pH Values of Common Household Substances

 

 

Substance

 

pH Prediction

 

Test Strip Color and pH

Acetic Acid (Vinegar)    
Sodium Bicarbonate Solution (Baking Soda)    
     
     
     

   

 

Take a picture of your results. Include a note with your name and date on an index card in the picture. Insert picture here:

 

 

Post-Lab Questions

1. What is the purpose of determining the pH of the acetic acid and the sodium bicarbonate solution before testing the other household substances?

 

 

 

2. Compare and contrast acids and bases in terms of their H+ ion and OH- ion concentrations.

 

 

 

3. Name two acids and two bases you often use.

© eScience Labs, LLC 2014

Lab 2: The Chemistry of Life

 
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Lab: BLab: Building Proteins From RNA Assignment: Lab Reportuilding Proteins From RNA Assignment: Lab Report

Lab: BLab: Building Proteins From RNA Assignment: Lab Reportuilding Proteins From RNA Assignment: Lab Report.

Lab Report Guide

Directions Write a lab report for this lesson’s lab. Be sure that your report:

 includes all major elements of a lab report.

 meets your teacher’s content and format expectations.

 is clearly organized and formatted.

 demonstrates strong scientific reasoning and writing.

While writing, you can revisit previous parts of the lesson by returning to the course map. Be sure to refer to the lab’s student guide, which you can find on the first page of the lab experiment activity. You may also find it helpful to refer to the remaining pages of this guide, which provide general guidelines for writing lab reports.

You can upload your completed report with the upload tool in formats such as OpenOffice.org, Microsoft Word, or PDF. Alternatively, your teacher may ask you to turn in a paper copy of your report or to use a web-based writing tool.

Lab Report Checklist Introduction

 Did you title your lab report?

 Did you state the purpose of the experiment?

 Did you state the question you posed before the experiment?

 Did you restate the hypothesis (or prediction) you formulated before the experiment?

 Did you list all variables and label the independent and dependent variables? Did you indicate any controlled variables?

Materials and Procedure

 Did you make a list of materials? Did you include quantities and SI units?

 Did you present the steps of the procedure as a numbered list? Did you note any changes to the original procedure?

 Did you identify your experimental and control groups?

Data Collection and Organization

 Did you organize all data in a clearly labeled table and/or graph?

 Did you check that your data is accurate and complete?

 Did you title any tables and graphs? Did you label rows, columns, axes, etc., and include units?

Analysis and Conclusion

 Did you interpret your data and graphs in the analysis rather than just restate your findings?

 Did you determine whether your data supported or refuted the hypothesis?

 Did you describe possible sources of errors?

 Did you suggest ways to improve or further your lab investigation?

Overall

 Did you make sure that your writing is precise, unbiased, and concise?

 Did you meet your teacher’s content and format expectations?

 

 

 

Lab Report Guide

Copyright © Edgenuity Inc. 2

Overview The Purpose of Lab Reports

When scientists make discoveries, they write reports to share their discoveries with the world. Likewise, after you complete an experiment, you can write a report to share what you discovered.

Writing a lab report is an important skill because it helps you demonstrate what you learned in a science experiment. It also helps you practice writing accurately and clearly about technical things—a skill that is valuable in the real world.

This guide describes the format and style of lab reports. It has many tips that will help you write stronger lab reports. Use it as a reference throughout your science studies.

Lab Report Format

Although the format of lab reports varies somewhat, it typically includes all of the following components in the order shown.

Section Category Page #

Part 1 Introduction (Title, purpose, question, hypothesis, variables)

3-4

Part 2 Materials and Procedure 4

Part 3 Data Collection and Organization

5

Part 4 Analysis and Conclusion 6

Later pages in this guide provide additional detail.

Science Writing Style

Science writing is different from other styles of writing you may be familiar with, such as persuasive writing and narrative writing. As with all types of writing, science writing has its own style; it is both precise and objective.

Science writing is precise. Be concise, but use descriptive language and specific details to help readers “see” what you observed. For example, a student who observes the presence of bubbles in a liquid during an experiment may write “The liquid had bubbles.” This sentence is concise, but it doesn’t tell the reader what kind of bubbles the student saw. Two precise alternatives follow:

 “The liquid had small bubbles—the size usually seen in soda.”

 “The liquid produced bubbles the size of grapes or marbles.”

Science writing is objective. Avoid bias and subjective descriptions such as “The liquid had huge bubbles.” Also, use the third-person voice and avoid personal pronouns such as I, we, you, he, she, and they. This will allow readers to focus on the scientific topic without being distracted by thinking about the person who did the work.

Writing this way takes practice for most students. At first, your writing may sound formal or stiff to you. But in time, your writing will become clear and precise.

 

 

 

 

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Part 1: Introduction Title

Title your lab report with a few words that summarize the lab investigation.

Purpose

The lab report should begin with one or two sentences that state the purpose of the investigation—what you want to see, practice, learn about, or test. The purpose statement answers the question “What am I trying to find out by doing this experiment?”

The three most common types of labs are:

 inquiry labs, in which you measure how changing one variable affects another variable.

 discovery labs, in which you observe a scientific phenomenon, perhaps for the first time.

 forensic labs, in which you gather and analyze data as evidence to build an argument in response to a question, as in a court case.

All three types of labs give you an opportunity to learn important scientific skills and concepts.

Question

At its core, science is about inquiry, or the act of asking questions and seeking answers. Most labs begin as the result of a question, which is why the introduction of your lab report should include a question. For example, suppose you notice that you seem to play basketball better at the court in one park than in another. After conducting research, you realize that one of the surfaces of the court at the park is different from that of your driveway. As a result, you might formulate the scientific question “What effect does the court surface have on the height that the basketball bounces?” To answer this question scientifically, you could perform several experiments and gather data.

Hypothesis (or Prediction)

A hypothesis is an initial answer to a question, a possible explanation or expectation based on prior knowledge or research. Before starting most labs, you will formulate a hypothesis. It should be listed in the introduction of your lab report.

A good scientific hypothesis states conditions, expected results, and possible reasons for those results. For example, you could respond to the basketball question with a hypothesis like “If the court surface is smooth concrete, as the park’s court is, then the basketball will bounce higher, because smooth surfaces have better contact with the ball.” Like this hypothesis, hypotheses are often structured using the format “If . . . then . . . because . . .,” which is described below.

 The “if” portion of the hypothesis describes something that you will change in the experiment.

 The “then” portion of the hypothesis describes what you think will happen as a result of that change.

 The “because” portion of the hypothesis describes the reason why you think that change will occur.

In other laboratory activities you will be asked to make a prediction. You will conduct background research, then predict the outcome of a known scientific process.

Special Note about Inquiry Labs For inquiry labs, questions are generally written in the form of “What is the effect of X on Y?” Hypotheses will generally be in the form “If X [describe how you will change X during the experiment], then Y will [predict how Y will change in response], because [give your reason].” In many inquiry labs the variables lend themselves to a scatterplot (X-Y plot).

 

 

Lab Report Guide

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Variables

The last part of the pre-lab information section of your lab report should be a description of the variables. There can be up to three types of variables, each of which is described below.

 Independent variable (IV): This is the factor that is directly manipulated in the experiment. It is sometimes called the manipulated variable. In the traditional format for a hypothesis, “If X . . . then Y,” the independent variable is X.

 

 Dependent variable (DV): This is the observable factor that varies due to changes to the independent variable. It is sometimes called the responding variable. In the traditional format for a hypothesis, “If X . . . then Y,” the dependent variable is Y.

 Controlled variables: These are variables that could affect the dependent variable, but which you prevent from changing during the experiment. By holding other variables constant, you can focus an experiment on the relationship between the independent variable and the dependent variable.

 

Part 2: Materials and Procedures Materials

List all of the supplies you will need to conduct the experiment. Include the names of the materials, quantities, SI units, and even brand names if the brand may have affected your results.

Procedure

Create a numbered list summarizing the steps you carried out in completing the lab. If you made any changes to the original instructions in the student guide (either on the advice of your teacher or on your own), be sure to identify them. Describe each step using accurate, concise language so that someone who has never performed the experiment could repeat it. Be sure to include details about any apparatuses and materials that you used, especially if you made substitutions to the apparatuses and materials described in the student guide for the lab.

Groups

Laboratory procedures sometimes are based around the following two kinds of groups:

 Experimental group: This is the group in which one condition (variable) is changed. Its response is compared with the response of the control group.

 Control group: This is the group that is identical to the experimental group but in which the independent variable is not changed. It provides a baseline for comparison.

Trials: For some labs, you will repeat the experiment to collect additional sets of data. By performing additional trials, you can refine how you execute the lab procedure, increase accuracy, and avoid one-time results. Instead of performing additional trials, you may be able to combine your data with other students’ data if you are all performing the same experiment.

 

 

 

 

Lab Report Guide

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Part 3: Data Collection and Organization While doing the lab procedure, you collected data on a data sheet or in your lab notebook. Your lab report should display that data in formal tables or graphs. Use the descriptions below to choose the display that makes your data clear to the reader and reveals what is important about the data.

Tables: Be sure to label each column and row in the headers. Quantitative data should include all measurements and calculations, including correct SI units of measurement. Make sure that units are consistent and that you use an appropriate number of significant figures. Qualitative data should include descriptions of what you saw, heard, felt, or smelled during the experiment. (See the sections titled “Science Writing Style” and “Variables” for more guidance.) Bar graphs: Use these graphs to compare two or more sets of conditions or categories. Histograms: Use these bar graphs to show the frequency of ranges of values.

Line graphs: Use these graphs to show the change in one variable as a second variable is changed. Typically, the individual data points are

plotted, and then lines are added to show trends. A line segment that connects two points on the graph provides a slope, which can be interpreted as a rate that measures how one variable changes relative to another. This slope has a mathematical formula. These graphs can be very helpful when you want to look at changes over time. Pie graphs: Use these graphs to show percentages or parts of a whole.

Scatterplots: Use these graphs to show each pair (x, y) as a point in the coordinate plane. They differ from line graphs in that individual points are not sequentially connected with one line. Instead, the points express a trend. This trend can be calculated mathematically as a regression equation and a correlation value that measures how closely the data follow the general trend.

In an inquiry lab, if the data is numerical, the X (independent) and Y (dependent) variables appear in their usual places on the horizontal and vertical axes, respectively.

 

 

 

 

Lab Report Guide

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Part 4: Analysis and Conclusion Analysis

The analysis portion of your lab report should describe the data and results in words. You should:

 analyze and state the relationship between the independent and dependent variables by describing how the dependent variable reacted to the change in the independent variable. If you used a control, you should compare the data to the control.

 explain all trends in the data, as well as any significant observations that you made during the lab.

 describe specific data points that help explain the outcome of the experiment.

 present and interpret statistics, such as the range, variance, standard deviation, trend equation, or correlation.

 interpret graphs with descriptions. Background Research

Before you conduct an experiment, you usually have prior knowledge about the topic that you gained from reliable sources, such as your teacher, books, online resources, or past experiments. You may conduct research before performing an experiment, and sometimes you may do additional research after you complete the experiment but before you write the conclusion of your lab report. Your teacher may provide guidance about the topic you should research, the type and number of sources you should use, when you should do the research, and how that research should appear in your lab report. Your teacher may also ask you to relate the experiment to another topic or discuss it in another context. Be sure to consider all of these things as you write your analysis and conclusion.

Conclusion

The conclusion of your lab report should explain the understandings you’ve gained as a result of the lab experiment. It should also address the question that led to the experiment. Below is a list of steps you should take when writing your conclusion.

Determine whether the hypothesis was supported. First, restate your hypothesis. A hypothesis is not an answer, so it cannot be described as “correct” or “incorrect.” Avoid this common error. Instead, state whether the hypothesis was “supported” or “not supported” by your results. Be sure to explain how and why you came to that conclusion. Identify possible sources of error. Scientific errors are factors that could have contributed to the uncertainty in the outcome of your experiment. Could measurements have been more accurate? Could you have performed more trials? Could environmental factors, such as the lab’s lighting or temperature, have had an effect? State these possible sources of error and analyze or estimate how much they may have affected your results. Suggest improvements and further investigation. Even if your hypothesis is not supported by the results of the lab, you can still produce an excellent lab report as long as you show a thorough understanding of the scientific concepts. This is often where your results are linked to your background research. You can now suggest revisions for future experiments based on what you’ve learned. In this section, you should explain applications of the experiment—how could your findings or those of similar experiments be used in the real world? Lastly, include any related questions you may want to explore in the future.

In an inquiry lab, the analysis and conclusion will focus on the relationship between X and Y.

 

 

 

 

Lab Report Guide

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Tips for Using Your Student Guide and the Lab Lesson  The title of your lab report should match the title

of the lab in the student guide and in the online lesson.

 Your purpose statement may be inspired by the purpose statement that appears at the top of the first page of the student guide.

 Your lab question and hypothesis should be formulated during the lab lesson warm-up. If you forgot what you wrote, you can revisit the warm- up to copy, paste, and proofread your question and hypothesis.

 The variables are generally listed in the header of the student guide.

 The student guide usually provides tables for you to use for collecting data. The data table in your lab report can often replicate this format.

 The instruction phase of the lesson usually includes tips from your on-screen teacher for learning how to fill in and interpret the data.

 The student guide may also provide you specific questions to consider as you analyze your results. Be sure to address them in the analysis and conclusion of your lab report.

If you are struggling with the lab report, your teacher has access to additional activities that will help you reflect on your lab experience.

Lab: BLab: Building Proteins From RNA Assignment: Lab Reportuilding Proteins From RNA Assignment: Lab Report

 
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