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In a recent poll, randomly selected New York State residents at various fast-food restaurants were asked if they supported or opposed a “fat tax” on non-diet sugared soda. Thirty-one percent said that they were in favor of such a tax and 66%were opposed. But when asked if they would support such a tax if the money raised were used to fund health care given the high incidence of obesity in the United States, 48%said that they were in favor and 49%were opposed.

(a) In this situation, explain how bias may have been introduced based on the way the questions were worded and suggest a way that they could have been worded differently in order to avoid this bias.

(b) In this situation, explain how bias may have been introduced based on the way the sample was taken and suggest a way that the sample could have been obtained in order to avoid this bias.

(c) This poll was conducted only in New York State. Suppose the pollsters wanted to ensure that estimates for the proportion of people who would support a tax on non-diet sugared soda were available for each state as well as an overall estimate for the nation as a whole. Identify a sampling method that would achieve this goal and briefly describe how the sample would be taken.

Short Answer

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(a) The first question was called a "fat tax" then people may have reached negatively therefore they may have thought that this is a tax for overweight individuals.

The second question provides extra information that gets people thinking about the obesity epidemic in the US and the increased health care that could be provided as a benefit with the tax money instead try "would you support or oppose a tax on non-diet sugared soda.

(b) The given statement is proved below.

(c) Use a stratified random sapling technique where each state is its own stratum.

Step by step solution

01

Part (a) step 1: Given information

We need to find bias may have been introduced based on the way the questions were worded and suggest a way that they could have been worded differently in order to avoid this bias.

02

Part (a) step 2: Explanation

The first question was called a "fat tax" then people may have reacted negatively so they may have thought that is a tax for overweight individuals.

The second question provides extra information that gets people thinking about the obesity epidemic in the US and the increased health care that could be provided as a benefit with the tax money instead try "would you support or oppose a tax on non-diet sugared soda?

03

Part (b) step 1: Given information

We need to find bias may have been introduced based on the way the sample was taken and suggest a way that the sample could have been obtained in order to avoid this bias.

04

Part (b) step 2: Explanation

This method samples only people at fast-food restaurants. They may go to these restaurants because they like the drinks and wouldn't want to pay a tax on their favorite beverages. It is the proportion of those who would oppose a tax that will be overestimated.

Instead, take a random sample of all New York residents.

05

Part (c) step 1: Given information

We need to find the pollsters wanted to ensure that estimates for the proportion of people who would support a tax on non-diet sugared soda were available for each state as well as an overall estimate for the nation as a whole.

06

Part (c) step 2: Explanation

Use stratified random sampling technique there each state is its own stratum.

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Most popular questions from this chapter

A large machine is filled with thousands of small

pieces of candy, 40%of which are orange. When money

is deposited, the machine dispenses 60randomly selected

pieces of candy. The machine will be recalibrated if a

group of 60candies contains fewer than18 that are

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happen?

a)Pz<0.3-0.4(0.4)(0.6)60

b)Pz<0.4-0.3(0.3)(0.7)60

role="math" localid="1650519113387" c)Pz<0.3-0.4(0.4)(0.6)60

role="math" localid="1650519757907" d)Pz<0.3-0.4(0.4)(0.6)60

e)Pz<0.4-0.3(0.3)(0.7)60

The school board in a certain school district obtained a random sample of 200residents and asked if they were in favor of raising property taxes to fund the hiring of more statistics teachers. The resulting confidence interval. for the true proportion of residents in favor of raising taxes was (0.183,0.257). The margin of error for this confidence interval is

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Can physical activity in youth lead to mental sharpness in old age? A2010study investigating this question involved 9344randomly selected, mostly white women over age 65from four U.S. states. These women were asked about their levels of physical activity during their teenage years, 30s,50s, and later years. Those who reported being physically active as teens enjoyed the lowest level of cognitive decline—only 8.5%had cognitive impairment—compared with 16.7%of women who reported not being physically active at that time.

(a) State an appropriate pair of hypotheses that the researchers could use to test whether the proportion of women who suffered a cognitive decline was significantly lower for women who were physically active in their youth than for women who were not physically active at that time. Be sure to define any parameters you use.

(b) Assuming the conditions for performing inference are met, what inference method would you use to test the hypotheses you identified in part (b)? Do not carry out the test.

(c) Suppose the test in part (b) shows that the proportion of women who suffered a cognitive decline was significantly lower for women who were physically active in their youth than for women who were not physically active at that time. Can we generalize the results of this study to all women aged65 and older? Justify your answer.

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2. Would a 99 % confidence interval for the slope β of the population regression line include 0? Justify your answer. (You don't need to do any calculations to answer this question.)

The P-value for the test in Question 5 is 0.0087. A correct interpretation of this result is that

(a) the probability that there is no linear relationship between an average number of putts per hole and total winnings for these 69players is 0.0087.

(b) the probability that there is no linear relationship between the average number of putts per hole and total winnings for all players on the PGA Tour’s world money list is 0.0087.

(c) if there is no linear relationship between an average number of putts per hole and total winnings for the players in the sample, the probability of getting a random sample of 69players yields a least-squares regression line with a slope of -4139198or less is 0.0087.

(d) if there is no linear relationship between an average number of putts per hole and total winnings for the players on the PGA Tour’s world money list, the probability of getting a random sample of 69 players yields a least-squares regression line with a slope of -4139198or less is 0.0087.

(e) the probability of making a Type II error is0.0087.

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