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Question 2 The mean age when smokers first start is 13 years old with a population standard deviation of 1.8 years. A researcher thinks that
Question 2 The mean age when smokers first start is 13 years old with a population standard deviation of 1.8 years. A researcher thinks that smoking age has significantly changed since the invention of ENDS- electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 31 smokers found that their mean starting age was 12.2 years old. Do the data support the claim at the 5% significance level? What are the correct hypotheses? Ho: Select an answer ? years H1: Select an answer @ ? years Based on the hypotheses, find the following: Test Statistic z = (Give answer to at least 4 decimal places) p-value = (Give answer to at least 4 decimal places) Based on the above we choose to Select an answer The correct summary would be: Select an answer that the claim that the mean age smokers first start is different than 13.Question 5 The manufacturer of a particular brand of tires claims they average at least 50,000 miles before needing to be replaced. From past studies of this tire, it is known that the population standard deviation is 8,000 miles. A survey of tire owners was conducted. From the 25 tires surveyed, the mean lifespan was 47500 miles. Using alpha = 0.05, can we prove that the data is inconsistent with the manufacturers claim? We should use a ? @ test. What are the correct hypotheses? Ho: Select an answer ? Ha: Select an answer O ? 0 Based on the hypotheses, find the following: Test Statistic= p-value= The correct decision is to Select an answer The correct conclusion would be: Select an answerQuestion 1 The Food and Drug Administration (FDA) is a U.S. government agency that regulates (you guessed it) food and drugs for consumer 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 flour. When wheat is ground into flour, 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 flour is 75. If the FDA finds more than this number, they conduct further tests to determine if the flour is too contaminated by insect parts to be fit for human consumption. The population standard deviation is 8. The FDA cannot afford to sample the entire shipment so they take a random sample of 46 bags of flour for evaluation and finds that they contain an average of 79.5 insect parts per 100 grams. Test to see if the entire shipment of wheat is not fit for human consumption. Test the claim using a 5% level of significance. Give answer to at least 4 decimal places. What are the correct hypotheses? Ho: Select an answer = 0 insect parts/100 grams H1: Select an answer @ ? insect parts/100 grams Based on the hypotheses, find the following: Test Statistic z = p-value = Based on the above we choose to Accept the null hypothesis The correct summary would be: ( There is not enough evidence to support the claim @ that the entire shipment of wheat is not fit for human consumption. What is the type I error in this situation? O The FDA believes the flour is contaminated when it really is not.. Question 4 The manufacturer of a particular brand of tires claims they average at least 50,000 miles before needing to be replaced. From past studies of this tire, it is known that the population standard deviation is 8,000 miles. A survey of tire owners was conducted. From the 24 tires surveyed, the mean lifespan was 47500 miles. Using alpha = 0.05, can we prove that the data is inconsistent with the manufacturers claim? We should use a ? test. What are the correct hypotheses? Ho: Select an answer ? 0 Ha: Select an answer ? Based on the hypotheses, find the following: Test Statistic= p-value= The correct decision is to Select an answer The correct conclusion would be: Select an
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