dolution

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pH in Rain An environmentalist wanted to determine if the mean acidity of rain differed among Alaska, Florida, and Texas. He randomly selected six rain dates at each of the three locations and obtained the following data:

(a) State the null and alternative hypotheses.

(b) Verify that the requirements to use the one-way ANOVA procedure are satisfied. Normal probability plots indicate that the sample data come from a normal population.

(c) Test the hypothesis that the mean pHs in the rainwater are the same at the  level of significance.

(d) Draw boxplots of the pH in rain for the three states to support the results obtained in part (c).

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Mark Gershon, owner of a musical instrument distributorship, thinks that demand for guitars may be related to the number of television appearances by the popular group Maroon 5 during the shown in the following table 4 3 6 7 9 5 4 66 5 11 7 Maroon 5 TV Appearances Demand for Guitars This exercise contains only parts b, c, and a b) Using the tas-squares regression method, the equation for forecasting around your responses to four decimal placea) Y-2.1286 +0.7714 X c) The estimate for guitar salos Maroon 5 performed on TV 10 times – P.84 sales (round your response to two decimal places). d] The correlation coefficient in for this model around your response to four decimal places)

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A large manufacturing company produces computer printers that are distributed and sold all over Europe. Due to lack of industry information, the company has a difficult time ascertaining its market share in different parts of the continent. They hire a market research firm to estimate their market share in a northern country and a southern country. They would also like to know whether there is a difference in their market shares in these two countries; if so, they want to estimate how much. The market research firm randomly selects printer customers from different locales across both countries and determines what brand of computer printer they purchased. The following Minitab output shows the results from this study. Discuss the results including sample sizes, estimation of the difference in proportions, and any significant differences determined. What were the hypotheses tested?

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NFL Combine The National Football League (NFL) combine is a forum in which players who want to play in the NFL demonstrate various skills. One skill that is measured is the 40-yard dash. Go to the book’s website to obtain the data file 13_1_23 using the file format of your choice for the version of the text you are using.

(a) What type of variable is 40-yard dash time?

(b) Excluding quarterback (QB), the skill positions are cornerback (CB), safety (S), running back (RB), and wide receiver (WR). Suppose we want to know whether there is a difference between the 40-yard dash times for these positions. What would be the null and alternative hypotheses?

(c) Assuming we treat the players as a random sample of all players in each position, explain why we may use a one-way ANOVA to determine if there is a significant difference between 40-yard dash times for these positions. How many means are being compared?

(d) Does the evidence suggest a difference exists for the 40-yard dash times for the skill positions (except quarterback)? Use the  level of significance.

(e) Draw boxplots of the 40-yard dash times for the skill positions (except quarterback) to support the results from part (d).

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