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You are hired by the governor to study whether a tax on liquor has decreased average liquor consump- tion in your state. You are able to obtain, for a sample of individuals selected at random, the difference in liquor consumption (in ounces) for the years before and after the tax. For person i who is sampled randomly from the population, Y, denotes the change in liquor consumption. Treat these as a random sample from a Normal(µ, o²) distribution. (i) The null hypothesis is that there was no change in average liquor consumption. State this formally in terms of µ. (ii) The alternative is that there was a decline in liquor consumption; state the alternative in terms of µ. (iii) Now, suppose your sample size is n = 900 and you obtain the estimates ỹ = -32.8 and s = 466.4. Calculate the t statistic for testing Ho against H¡; obtain the p-value for the test. (Because of the large sample size, just use the standard normal distribution tabulated in Table G.1.) Do you reject H, at the 5% level? At the 1% level? (iv) Would you say that the estimated fall in consumption is large in magnitude? Comment on the practical versus statistical significance of this estimate. (v) What has been implicitly assumed in your analysis about other determinants of liquor consumption over the two-year period in order to infer causality from the tax change to liquor consumption?

You are hired by the governor to study whether a tax on liquor has decreased average liquor consump- tion in your state. You are able to obtain, for a sample of individuals selected at random, the difference in liquor consumption (in ounces) for the years before and after the tax. For person i who is sampled randomly from the population, Y, denotes the change in liquor consumption. Treat these as a random sample from a Normal(µ, o²) distribution. (i) The null hypothesis is that there was no change in average liquor consumption. State this formally in terms of µ. (ii) The alternative is that there was a decline in liquor consumption; state the alternative in terms of µ. (iii) Now, suppose your sample size is n = 900 and you obtain the estimates ỹ = -32.8 and s = 466.4. Calculate the t statistic for testing Ho against H¡; obtain the p-value for the test. (Because of the large sample size, just use the standard normal distribution tabulated in Table G.1.) Do you reject H, at the 5% level? At the 1% level? (iv) Would you say that the estimated fall in consumption is large in magnitude? Comment on the practical versus statistical significance of this estimate. (v) What has been implicitly assumed in your analysis about other determinants of liquor consumption over the two-year period in order to infer causality from the tax change to liquor consumption?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 4GP
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You are hired by the governor to study whether a tax on liquor has decreased average liquor consump- tion in your state. You are able to obtain, for a sample of individuals selected at random, the difference in liquor consumption (in ounces) for the years before and after the tax. For person i who is sampled randomly from the population, Y, denotes the change in liquor consumption. Treat these as a random sample from a Normal(µ, o²) distribution. (i) The null hypothesis is that there was no change in average liquor consumption. State this formally in terms of µ. (ii) The alternative is that there was a decline in liquor consumption; state the alternative in terms of µ. (iii) Now, suppose your sample size is n = 900 and you obtain the estimates ỹ = -32.8 and s = 466.4. Calculate the t statistic for testing Ho against H¡; obtain the p-value for the test. (Because of the large sample size, just use the standard normal distribution tabulated in Table G.1.) Do you reject H, at the 5% level? At the 1% level? (iv) Would you say that the estimated fall in consumption is large in magnitude? Comment on the practical versus statistical significance of this estimate. (v) What has been implicitly assumed in your analysis about other determinants of liquor consumption over the two-year period in order to infer causality from the tax change to liquor consumption?
Transcribed Image Text:You are hired by the governor to study whether a tax on liquor has decreased average liquor consump- tion in your state. You are able to obtain, for a sample of individuals selected at random, the difference in liquor consumption (in ounces) for the years before and after the tax. For person i who is sampled randomly from the population, Y, denotes the change in liquor consumption. Treat these as a random sample from a Normal(µ, o²) distribution. (i) The null hypothesis is that there was no change in average liquor consumption. State this formally in terms of µ. (ii) The alternative is that there was a decline in liquor consumption; state the alternative in terms of µ. (iii) Now, suppose your sample size is n = 900 and you obtain the estimates ỹ = -32.8 and s = 466.4. Calculate the t statistic for testing Ho against H¡; obtain the p-value for the test. (Because of the large sample size, just use the standard normal distribution tabulated in Table G.1.) Do you reject H, at the 5% level? At the 1% level? (iv) Would you say that the estimated fall in consumption is large in magnitude? Comment on the practical versus statistical significance of this estimate. (v) What has been implicitly assumed in your analysis about other determinants of liquor consumption over the two-year period in order to infer causality from the tax change to liquor consumption?
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