In a sample of 10,000 US employees, 1,530 said that working from home was worse than working in the office. (Data from Becher Freidman Institute for Economics, reported by Stephanie Stamm, “Is a Home Office More Productive? Some Workers Think So,” The Wall Street Journal, January 2, 2021, pg. B=2). Use this information to calculate a 95% confidence interval for the proportion of all US adults who find that working at home was worse. What is the UPPER confidence limit? Answer with a percentage that is rounded to the nearest integer. Please provide only typed answer solution Don't use any AI. It's strictly prohibited
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In a sample of 10,000 US employees, 1,530 said that working from home was worse than working in the office. (Data from Becher Freidman Institute for Economics, reported by Stephanie Stamm, “Is a Home Office More Productive? Some Workers Think So,” The Wall Street Journal, January 2, 2021, pg. B=2). Use this information to calculate a 95% confidence interval for the proportion of all US adults who find that working at home was worse. What is the UPPER confidence limit?
Answer with a percentage that is rounded to the nearest integer.
Please provide only typed answer solution
Don't use any
It's strictly prohibited
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- In a random sample of adults surveyed recently in a country, researchers asked how important it is "to you personally" to have a high-paying job. A table reporting the responses by gender is shown below. Complete parts a through c below. Full data set O Male Female Extremely important Very important Somewhat important Not too important Not at all important 162 130 349 276 336 332 90 3 54 2 a) What percent of women consider it very important or extremely important for them personally to have a high-paying job? high-paying job is %. The percent of women who consider it very important or extremely important for them personally to have (Round to the nearest integer as needed.) b) How does that compare with men? For young men, % consider it very important or extremely important for them personally to have a high-paying job, which is V the percent of women. c) Do the distributions across all response categories look similar or different? O A. The distributions vary significantly, more women…In 2011, the wage gap between chief executive's pay was approximately 30 to 40 times the average American worker's paycheck. True falseFor many years businesses have struggled with the rising cost of health care. But recently, the increases have slowed due to less inflation in health care prices and employees paying for a larger portion of health care benefits. A recent Mercer survey showed that 52% of U.S. employers were likely to require higher employee contributions for health care coverage. Suppose the survey was based on a sample of 800 companies. Compute the margin of error and a 95% confidence interval for the proportion of companies likely to require higher employee contributions for health care coverage.
- A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accompanying table. The least-squares regression equation for these data is Y₁ = - 13,863.426 +2.437X, and the standard error of the estimate is Syx = 15,910.578. Assume that the straight-line model is appropriate and there are no serious violations the assumptions of the least-squares regression model. Complete parts (a) and (b) below Click the icon to view the data on program per-year tuition and mean starting salary a. At the 0.01 level of significance, is there evidence of a linear relationship between the starting salary upon graduation and program per-year tuition? Determine the hypotheses for the test. Ho B₁ = D H₁ P₁ #0 (Type integers or decimals. Do not round.)…Duke Energy reported that the cost of electricity for an efficient home in a particular neighborhood of Cincinnati, Ohio, was $104 per month. A researcher believes that the cost of electricity for a comparable neighborhood in Chicago, Illinois, is higher. A sample of homes in this Chicago neighborhood will be taken and the sample mean monthly cost of electricity will be used to test the following null and alternative hypotheses. Assume the sample data lead to rejection of the null hypothesis. What would be your conclusion about the cost of electricity in the Chicago neighborhood? What is the Type I error in this situation? What are the consequences of making this error? What is the Type II error in this situation? What are the consequences of making this error?Firms compensate workers with “benefits” in addition to wages and salaries. The most prominent benefit offered by many firms is health insurance. Suppose that in 2010, workers at one steel plant were paid $40 per hour and in addition received health benefits at the rate of $8 per hour. Also suppose that by 2020 workers at that plant were paid $42 per hour but received $36 in health insurance benefits. Instructions: Enter your answers rounded to 1 decimal place. a. By what percentage did total compensation (wages plus benefits) change at this plant from 2010 to 2020? Total compensation DECREASE / INCREASE by _______ %. What was the approximate average annual percentage change in total compensation? _____ % b. By what percentage did wages change at this plant from 2010 to 2020? Wages DECREASE / INCREASE by ________ %. What was the approximate average annual percentage change in wages? __________ % c. If workers value a dollar of health…
- Shanice works in finance for a small manufacturing company and is working on next year’s budget. She has been doing research to compare the cost of outsourcing some upcoming jobs versus the cost of purchasing the equipment to keep the jobs in-house. In what step in financial planning is Shanice involved? Multiple Choice developing financial statements for outside investors forecasting short-term financial needs establishing financial controls and tax policy forecasting long-term financial needsThe known standard deviation in salary for all mid-level professionals in the financial industry is $11,000. Company A and Company B are in the financial industry. Suppose samples are taken of mid-level professionals from Company A and from Company B. The sample mean salary for mid-level professionals in Company A is $80,000. The sample mean salary for mid-level professionals in Company B is $96,000. Company A and Company B management want to know if their mid-level professionals are paid differently, on average.A researcher wants to estimate the average monthly income of individuals in a certain city. A random sample of 20 individuals is selected, and their monthly incomes (in dollars) are recorded as follows: 2,500 2,800 3,000 3,200 3,400 3,500 3,600 4,100 4,200 4,300 4,500 4,600 4,700 4,900 3,700 3,800 4,000 5,000 5,200 5,500 Assuming the incomes are normally distributed, calculate the 90% confidence interval for the average monthly income of individuals in the city.. Please show all the necessary steps and provide your answer with the appropriate interpretation. Hints: • Calculate the sample mean and sample standard deviation. . Determine the critical value (t-value) for a 90% confidence level. • Calculate the margin of error using the critical value and sample standard deviation. • Calculate the lower and upper bounds of the confidence interval using the sample mean and margin of error. • Interpret the confidence interval in the context of the problem. I
- Apple products have become a household name in America, with the average household owning 2.6 Apple products (CNBC, October 10, 2017). Suppose that in the Midwest, the likelihood of owning an Apple product is 61% for households with kids and 48% for households without kids. Suppose there are 1,200 households in a representative community, of which 820 are with kids and the rest are without kids. Let event A correspond to “Household with kids”, and B to “Household owns an Apple product”. a. Are the events “household with kids” and “household without kids” mutually exclusive and exhaustive? multiple choice Yes No b. What is the probability that a household is without kids? (Round your answer to 4 decimal places.) c. What is the probability that a household is with kids and owns an Apple product? (Do not round intermediate calculations. Round your answer to 4 decimal places.) d. What is the probability that a household is without kids and does not own an Apple…A study of homeowners in the 5th congressional district in Maryland found that their annual household incomes are normally distributed with a mean of $41,182 and a standard deviation of $11,990 (based on data from Nielsen Media Research). a. What percentage of household incomes are greater than $30,000?b. What percentage of household incomes are between $25,000 and $40,000?c. If an advertising campaign is to be targeted at those whose household incomes are in the top 20%, find the minimum income level for this target group?The accompanying data provides the results of a survey of 27 employees in a tax division of a Fortune 100 company. a. Test the null hypothesis that the average number of years of service is the same for males and females. Assume that the population variances are unequal. b. Test the null hypothesis that the average years of undergraduate study is the same for males and females. Assume that the population variances are unequal. Click the icon to view the survey data. a. Is there sufficient evidence at the 0.01 level of significance that the average number of years of service is the same for males and females? Determine the null hypothesis, Ho, and the alternative hypothesis, H₁. Let females be population 1 and males be population 2. Ho P-P2 H₁: P₁ - H = 0 (Type integers or decimals. Do not round.) Compute the test statistic. - 3.65 (Round to two decimal places as needed.) Find the p-value for the test. (Round to three decimal places as needed.)