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Suppose that you have the following hypothesis: Ho:

In 2012, the General Social Survey included a question that asked participants how many hours they worked a week on household chores. Do females spend more hours working on household chores than males?   Would this be an example of independent or dependent samples?

A nutritionist was interested in studying American’s opinions about healthy living. One hundred randomly selected people who were starting a diet were asked if they consumed at least 24 ounces of water a day. After six months, the same 100 people were asked if they consumed at least 24 ounces of water a day   Six months later “Yes, consumed at least 24 ounces of water” Six months later “No, did not” Initial Response “Yes, consumed at least 24 ounces of water” 50 25 Initial Response “No did not” 10 15  Besides random sampling and categorical data, what other assumption needs to be met? Is it met?

In 2014, the General Social survey was interested in studying individuals volunteering habits.They randomly selected 580 men and 689 women and then asked them if they had volunteered in the last month. Out of 580 men, 34 said that they had volunteered in the past month and out of 689 women, 37 said that they had volunteered in the past month. Suppose that you want to make a 95% confidence interval for  , what assumption is violated in this case?

A nutritionist was interested in determining if participating in a weight loss program could reduce someone’s cholesterol levels. She had 4 participants participate in a medical diet plan. She recorded their cholesterol level at the beginning of the program and at the end of the program. Find the 95% confidence interval for the population mean change in cholesterol level. (before – after)   1 2 3 4 before 230 240 220 230 after 210 225 210 240  

A study was done to see if students who took AP Calculus  before taking the AP statistics course did better than students who did not take AP Calculus. They wanted to see if there was a difference in the AP Statistics exam scores. The p-value was zero. What does this mean?

Is there a difference in the attitude scores (1-10) about learning statistics between underclassmen and upperclassmen students?  What would be the correct alternative hypothesis?

In 2000, General Social Survey respondents were asked “How many hours did they spend on their personnel computer per week?”. The researchers were interested in seeing if Republicans (1) spent a different amount of time on the personnel computer then Democrats (2).  For this hypothesis, the p-value was 0.9947. Interpret.

(2 points) Based on the material from class, briefly describe four factors that are contributing to the manufacturing boom in the southern United States. (2 points) How do housing and economic mobility each contribute to your idea of the “American Dream”? Explain. Making reference to data and economic analysis from class, explain one new (not from class) policy that might improve the odds of attaining the “American Dream from each course Module: (1 point) A policy related to the mortgage market (1 point) A policy related to the low-income housing market (1 point) A policy related to low-skilled workers

Is the US income distribution getting wider? (1 point) Support your argument making reference to data seen in class; explain how those data are measured and how that measure of the income distribution is calculated. (1 point) Now present data that support a different point of view and explain what it is that is different about those data from the measure. Why do you prefer your measure to this second one? Based on the data seen in class, do you think that it is getting easier or harder to move up in the income distribution than it used to be? (1 point) Support your argument making reference to data seen in class; explain both how those data are measured and how that measure of mobility is calculated. (1 point) Now present data that support a different point of view and explain what it is that is different about those data from the measure. Why do you prefer your measure to this second one? Raj Chetty et al show that relocation can often improve the odds of upward mobility. (1 point) What is one locational factor (social capital) that Chetty et al show impacts economic mobility? What factors do they control for to establish this correlation? (1 point) What is a second locational factor (social capital) that Chetty et al show impacts economic mobility? What factors do they control for to establish this correlation?