Confidence in banks: A poll conducted asked a random sample of 1239 adults in the United States how much confidence they had in banks and other financial institutions. A total of 158 adults said that they had a great deal of confidence. An economist claims that greater than 11% of U.S. adults have a great deal of confidence in banks. Can you conclude that the economist's claim is true? Use both =α0.10 and =α0.01 levels of significance and the P-value method with the TI-84 Plus calculator.Part 1 of 5(a) State the appropriate null and alternate hypotheses.:H0 <p0.11:H1 >p0.11This hypothesis test is a ▼right-tailed test.Correct Answer:=:H0p0.11>:H1p0.11This hypothesis test is a right-tailed test.Part: 1 / 51 of 5 Parts CompletePart 2 of 5(b) Compute the value of the test statistic. Round the answer to at least two decimal places.=z

In a recent survey, 808 American adults were asked if they would give the U.S. president a favorable job performance rating. Of those surveyed 53% gave the president a favorable rating.Calculate a confidence interval for the true percent of all American adults who would give a favorable rating for the president.Group of answer choices(49.48%, 56.52%)(48.38%, 57.62%)(52.9%, 53.12%)(46.78%, 59.22%)(46.08%, 59.92%)

Multiple Linear RegressionIf the p-value for the overall significance hypothesis test of the multiple linear regression is 0.007, which of the following statements is correct at a 99 percent confidence level?The annual income has a significant influence on the credit card bill.The annual income and annual credit card charges have a significant influence on the credit card bill.The annual income, annual credit card charges, and household size have a significant influence on the credit card bill.At least one of the annual income, annual credit card charges, and household size has a significant influence on the credit card bill.Can’t comment at a 99 percent confidence level.

A researcher would like to estimate p, the proportion of U.S. adults who support raising the federal minimum wage.Due to a limited budget, the researcher obtained opinions from a random sample of only 1,432 U.S. adults. With this sample size, the researcher can be 95% confident that the obtained sample proportion will differ from the true proportion (p) by no more than which of the following percentages (answers are rounded)? 0.07% 2.6% 3.0% 5.2%

Based on a random sample of n = 2345, the 95% confidence interval of variable X is (7.25, 9.12). You expect that the mean in the population is different from 7 at α = 0.05. What can you conclude?1 pointNothing, because you have not enough data to determine that.The value in the population is indeed different from 7.You cannot reject the null hypothesis.This confidence interval is wrong.

A random sample of 160 households is selected to estimate the mean amount spent on electric service. A 95% confidence interval was determined from the sample results to be ($151, $216). Which of the following is the correct interpretation of this interval? There is a 95% chance that the mean amount spent on electric service is between $151 and $216. We are 95% confident that the mean amount spent on electric service among the 160 households is between $151 and $216. 95% of the households will have an electric bill between $151 and $216. We are 95% confident that the mean amount spent on electric service among all households is between $151 and $216