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A national publication reported that a university student living away from home spends, on average, no more than €15 per month on coffee. You believe this figure is too low and want to disprove the claim. To conduct the test, you randomly select 17 university students and ask them to keep track of the amount of money they spend during a given month on coffee. The sample produces an average expenditure on coffee of €19.34, with a population standard deviation of €4.52. Use these sample data to conduct the hypothesis test. Assume you are willing to take a 10% risk of making a Type I error and that spending on coffee per month is normally distributed in the population.
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Low Birth Weight According to the U.S. Census Bureau, 7.1% of all babies born are of low birth weight . An obstetrician wanted to know whether mothers between the ages of 35 and 39 years give birth to a higher percentage of low-birth-weight babies. She randomly selected 240 births for which the mother was 35 to 39 years old and found 22 low-birth-weight babies.
(a) If the proportion of low-birth-weight babies for mothers in this age group is 0.071, compute the expected number of low-birth-weight births to 35- to 39-year-old mothers. What is the expected number of births to mothers 35 to 39 years old that are not low birth weight?
(b) Answer the obstetrician’s question at the  level of significance using the chi-square goodness-of-fit test.
(c) Answer the question by using the approach presented in Section 10.2.
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