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questions 4-6 Question 4 The Food and Drug Administration (FDA) is a US. government Select one answer. agency that regulates (you guessed it) food and

questions 4-6

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Question 4 The Food and Drug Administration (FDA) is a US. government Select one answer. agency that regulates (you guessed it) food and drugs for consumer 10 points safety. One thing the FDA regulates is the allowable insect parts in various foods. You may be surprised to know that much of the processed food we eat contains insect parts. An example is our. When wheat is ground into our, insects that were in the wheat are ground up as well. The mean number of insect parts allowed in 100 grams (about 3 ounces) of wheat our is 75. Ifthe FDA nds more than this number, they conduct further tests to determine if the our is too contaminated by insect parts to be t for human consumption. The null hypothesis is that the mean number of insect parts per 100 grams is 75. The alternative hypothesis is that the mean number of insect parts per 100 grams is greater than 75. Is the following a Type I error or a Type II error or neither? The test fails to show that the mean number of insect parts is greater than 75 per 100 grams when it is. A. - Type I error B. - Type ]I error (L - Neither Question 5 Child Health and Development Studies (CHDS) has been collecting Select one answer. data about expectant mothers in Oakland, CA since 1959. One of the 10 points measurements taken by CHDS is the weight increase (in pounds} for expectant mothers in the second trimester. In a ctitious study, suppose that CHDS nds the average weight increase in the second trimester is 14 pounds. Suppose also that, in 2015, a random sample of 40 expectant mothers have mean weight increase of 16 pounds in the second trimester, with a standard deviation of 6 pounds. At the 5% signicance level, we can conduct a one-sided T-test to see if the mean weight increase in 2015 is greater than 14 pounds. Statistical software tells us that the p-value : 0.021. Which of the following is the most appropriate conclusion? A. - There is a 2.1% chance that a random sample of 40 expectant mothers will have a mean weight increase of 16 pounds or greater if the mean second trimester weight gain for all expectant mothers is 14 pounds. B. - There is a 2.1% chance that mean second trimester weight gain for all expectant mothers is 14 pounds in 2015. (L - There is a 2.1% chance that mean second trimester weight gain for all expectant mothers is 16 pounds in 2015. D. - There is 2.1% chance that the population of expectant mothers will have a mean weight increase of 16 pounds or greater in 2015 if the mean second trimester weight gain for all expectant mothers was 14 pounds in 1959. Question 6 Child Health and Development Studies (CHDS) has been collecting Select one answer. data about expectant mothers in Oakland, CA since 1959. One of the 10 points measurements taken by CHDS is the age of rst time expectant mothers. Suppose that CHDS nds the average age for a rst time mother is 26 years old. Suppose also that, in 2015, a random sample of 50 expectant mothers have mean age of 26.5 years old, with a standard deviation of 1.9 years. At the 5% signicance level, we conduct a one-sided T-test to see if the mean age in 2015 is signicantly greater than 26 years old. Statistical software tells us that the p-value : 0.034. Which of the following is the most appropriate conclusion

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