In 2013, the Pew Research Foundation reported that “45% of U.S. adults report they live with one or more chronic conditions”, and the standard error for this estimate is 1.2%. Identify each of the following statements as true or false. Provide and explanation to justify each of your answers. (a) We can say with certainty that the confidence interval contains the true percentage of U.S. adults who suffer from a chronic illness. (b) If we repeated this study 1,000 times and constructed a 95% confidence interval for each study, then approximately 950 of those confidence intervals would contain the true fraction of U.S. adults who suffer from chronic illness. (c) Since the standard error is 1.2%, only 1.2% of the people in the study communicated uncertainty about their answer.

Top management of a large multinational corporation wants to create a culture of innovativeness and change. A consultant hired to assess the company's organizational culture finds that only 15% of employees are open to new ideas and approaches toward their work. Consequently the company conducts a program for employees in order to reinforce the new corporate philosophy. Based on data collected after the program, they find the 95% confidence interval for the proportion of all employees open to new ideas to be 18% to 22%. What should the company conclude? ... O A. There is no evidence to suggest that the program improved employees' attitudes toward innovativeness and change. B. There is evidence that the program improved employees' attitudes toward innovativeness and change. C. The null hypothesis should not be rejected. OD. Both A and B OE. Both A and C

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You may need to use the appropriate appendix table or technology to answer this question. A survey asked senior executives at large corporations their opinions about the economic outlook for the future. One question was, "Do you think that there will be an increase in the number of full-time employees at your company over the next 12 months?" In the current survey, 228 of 400 executives answered Yes, while in a previous year survey, 176 of 400 executives had answered Yes. Provide a 95% confidence interval estimate for the difference between the proportions at the two points in time. (Use current year previous year. Round your answer to four decimal places.) to What is your interpretation of the interval estimate? The 95% confidence interval ---Select--- ✓zero. This suggests that the proportion of executives who are predicting an increase in full- time jobs for the current year is ---Select--- ✓ than the proportion of executives who were predicting an increase in full-time jobs for the…

1. What conclusions can you draw about the proportions of Satisfaction with Quality of Care from Nurses and Satisfaction with Quality of Care from Specialists from the​ chart?     A. The confidence intervals​ overlap, so we can conclude that the proportions are significantly different.   B. The confidence intervals do not​ overlap, so we can conclude that the proportions are significantly different.   C. The confidence intervals do not​ overlap, so we cannot conclude that the proportions are significantly different.   D. The confidence intervals​ overlap, so we cannot conclude that the proportions are significantly different.   2. What conclusions can you draw about the proportions of the Satisfaction with Quality of Care from Nurses and Satisfaction with Quality of Care from Practitioners from the​ chart?     A. The confidence intervals do not​ overlap, so we cannot conclude that the proportions are significantly different.   B. The confidence…

If all the confidence intervals overlapped, does that imply that the mean must be in that overlap?  I claim 49.5% of the study population is female. Conduct a hypothesis to test if I am wrong, to see if the population proportion is of female patients is not 49.5%.  Use a 5% level of significance.  State your conclusion to each hypothesis test. What is a Type I error?  How many of your hypothesis tests agree? If different samples gave you different hypothesis test results (i.e. some rejected the null hypothesis and some did not) does that mean your sampling design for the incorrect hypothesis test(s) was faulty?

According to a poll, 79% of California adults (398 out of 506 surveyed) feel that education is one of the top issues facing California. We wish to construct a 90% confidence interval for the true proportion of California adults who feel that education is one of the top issues facing California. Find a 90% confidence interval for the population proportion. (Round your answers to three decimal places.) Additional Materials Reading

in a poll, 73% of California adults (367 out of 506 surveyed) believe that education is one of the main issues facing California. We want to construct a 90% confidence interval for the true proportion of California adults who believe that education is one of the main issues facing California.-  I need help with finding a 90% confidence interval for the population proportion (I also have to round the answer to three decimal places)