Question 1How can survey questions lead to non-sampling errors? Question 2How does the population mean affect the power of the hypothesis test? Question 3The Department of Labor would like to estimate the average weekly wages for US adults with a margin of error equal to $20. Determine the sample size needed to construct a confidence interval for this estimate using a confidence level of 90%. Assume the population standard deviation for the weekly wage is $160. Question 4Which type of error is known as a consumer’s risk? Question 5Explain the difference between convenience, non-probability, probability, stratified, clustered, and systematic samples. Write a multi-paragraph response. Question 6When the standard deviation is known and the sample size is less than 30, what characteristic must the population have to calculate a confidence interval? Question 7How can cluster sampling be considered like a convenience sampling? Question 8How is the p-value related to the critical value?Select one: a.) Both the p-value and critical value can be used to find the correct hypothesis statements to test.b.) Both the p-value and critical value can be used to determine the conclusion of a hypothesis test.c.) Both the p-value and critical value can be used to verify the correct confidence levels for the test. d.) Both the p-value and critical value can be used to verify the correct significance levels for the test. Question 9According to a 2010 BusinessWeek article, the average 401(k) account balance for individuals nearing retirement was $60,000. To test if this average has recently changed, suppose a sample of 30 people starting retirement was selected and it was found that the average 401(k) balance was $67,900. Assume the population standard deviation is $21,000. State the null and alternative hypothesis. Question 10What does the confidence interval tells us about a sample’s mean? Question 11Generation Y has been defined as those individuals who were born between 1981 and 1991. According to the Project on Study Debt, Generation Y students graduating from college averaged $23,200 in debt in 2009. Assume the standard deviation for debt is $7500 per student. What is the probability that the sample mean will be less than $24,000 for a sample size of

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