Chapter 10.1, Problem 10.5E

Dr. Guidry conducts a study examining the relationship between the number of friends one has and the experience of daily stress and life satisfaction. She randomly samples 1,500 elderly men and women in Nashville, Tennessee (the state capital), located in the southern United States. Considering Dr. Guidry's sample, which of the following statements is true? The association found in her study could probably generalize to elderly persons living in nursing homes. The association(s) found in her study could probably generalize to elderly people in other large cities in the South. The association found in her study could probably generalize to people living in other capital cities (e.g., Sacramento, California). The association found in her study could probably generalize to young adults.

One of the issues that usually come up in the US presidential elections is how to deal with a sluggish economy. Specifically, should the government cut spending, raise taxes, inflate the economy by printing more money, or do none of the above and let the deficit rise? And as with most other issues, politicians need to know which parts of the electorate support these options. Suppose that a random sample of 1,000 people was asked which option they support and their political affiliations. The possible responses to the question about the preferred economic option were the four options mentioned above (i.e., Cut, Raise, Inflate, and Let), and to the question about political affiliation the respondents could answer Democrat, Republican, or Independent (which included a variety of political persuasions). The responses are summarised in the table below. Do these data allow us to conclude at the 1% significance level that political affiliation affects support for the economic options?…

Despite the availability of several modes of transportation, including metro and ride-booking services, most people in the Washington, D.C., area continue to drive their own cars to get around (The Washington Post, June 6, 2019). According to a survey, 62% of area adults use their own cars daily. Suppose only 38% of the area’s adults under 35 use their own cars daily. It is known that 43% of the area’s adults are under 35.   What is the probability that a Washington, D.C., area adult is under 35 and uses his/her own car daily?     If a Washington, D.C., area adult uses his/her own car daily, what is the probability that he/she is under 35?

A serious side effect of allergy medicines is that they cause drowsiness, which can cause many problems for the individuals taking them. In recent years, a new non-drowsy allergy medicine has been developed. The company that created the medicine claims to be the first, once-a-day, non-drowsy allergy medicine (call it Medicine A). An independent research group wanted to check on this claim by comparing Medicine A with another allergy medicine not advertised as non-drowsy (call it Medicine B). A random sample of 3,193 allergy sufferers was selected and each individual was randomly assigned to take either Medicine A or Medicine B. From the Medicine A group, 114 of 1,604 reported drowsiness and from the Medicine B group, 155 of 1,589 reported drowsiness. a) Calculate and label the two sample proportions separately. Next, calculate the difference between these sample proportions by subtracting (Medicine A – Medicine B). Complete these calculations by hand, label each of them, and present…

Please provide an example of a research problem and a hypothesis for this statement.

Your answer is partially correct. A survey of 2645 consumers by DDB Needham Worldwide of Chicago for public relations agency Porter/Novelli showed that how a company handles a crisis when at fault is one of the top influences in consumer buying decisions, with 73% claiming it is an influence. Quality of product was the number one influence, with 96% of consumers stating that quality influences their buying decisions. How a company handles complaints was number two, with 85% of consumers reporting it as an influence in their buying decisions. Suppose a random sample of 1,100 consumers is taken and each is asked which of these three factors influence their buying decisions. Appendix A Statistical Tables a. What is the probability that more than 820 consumers claim that how a company handles a crisis when at fault is an influence in their buying decisions? b. What is the probability that fewer than 1,030 consumers claim that quality of product is an influence in their buying decisions? c.…