Chapter 11, Problem 11.19AC

In determining the best companies to work for, a number of variables are considered, including size, average annual pay, and turnover rate. Moreover, employee surveys are conducted to assess aspects of the organization's culture, such as trust and openness to change. In an attempt to determine what affects turnover rate, a sample of 33 companies was randomly selected, and data were collected on the average annual bonus and turnover rate (%) for 2008. In addition, a questionnaire was administered to the employees of each company to arrive at a trust index (measured on a scale of 0-100). Below are the multiple regression results. Dependent Variable is Turnover Rate Predictor Coef SE Coef Constant 12.1005 0.7826 15.46 0.000 Trust Index -0.07149 0.01966 -3.64 0.001 Average Bonus -0.0007216 0.0001481 -4.87 0.000 S= 1.49746 R-Sq = 79.6% R-Sq (adj) = 78.3%

In a poll conducted March 17-21, 2005, by the Pew Research Center for the People and the Press, a simple random sample of 1505 American adults were asked whether they were in favor of tighter enforcement of government rules on TV content during hours when children are most likely to be watching. Of the 1505 adults, 1129 responded yes. 1. What proportion of those surveyed were in favor of tighter enforcement of government rules on TV content during hours when children are most likely to be watching? 2. Obtain a 95% confidence interval for the proportion of Americans who are in favor of tighter enforcement of government rules on TV content during hours when children are most likely to be watching. (Round the final answer to four decimal places). P(1-p) CI = ptz 3. Interpret the confidence interval. 4. What proportion of those surveyed were in favor of tighter enforcement of government rules on TV content during hours when children are most likely to be watching when we apply the…

4. Failure to meet payments on student loans guaranteed by the United States (U.S.) government has been a major problem for both banks and the government. Approximately 50% of all student loans guaranteed by the government are in default. A random sample of 350 loans to college students in one region of the U.S. indicates that 147 loans are in default. Do the data indicate that the proportion of student loans in default in this area of the country differs from the proportion of all student loans in the U.S. that are in default?  Use  α = 0.01. (i) The alternative hypothesis for the above problem is

The North American Free Trade Agreement (NAFTA) enacted in 1994 is a trilateral trade agreement signed by the United States, Canada and Mexico. This trade agreement has been controversial since its inception and Americans remain split on the issue. In a Gallup Poll conducted February 1-5, 2017, 418 out of 908 randomly selected Americans aged 18 or older stated that they believed that NAFTA was bad for the United States. Find the point estimate for the proportion of Americans who believe that NAFTA was bad for the United States. Round your answer to 4 decimal places. Find the margin of error for a 95% confidence interval. Round your answer to 4 decimal places. Construct the 95% confidence interval for the proportion of Americans who believe that NAFTA was bad for the United States. Enter your answer as an open interval of the form (a,b) and round to 3 decimal places.

A sociologist sampled 200 people who work in computer-related jobs, and found that 42 of them have changed jobs in the past six months. Can you conclude that more than 15% of computer-related workers have changed jobs in the past six months?

Deforestation is a serious problem throughout much of India. An article discusses the social forces that influence forest management policies in three Indian states: Haryana, Bihar, and Uttar Pradesh. The forest quality in Haryana is somewhat degraded, in Bihar it is very degraded, and in Uttar Pradesh it is well-stocked. In order to study the relationship between educational levels and attitudes toward forest management, random samples of adults in each of these states were surveyed and their educational levels were ascertained. The numbers of adults at each of several educational levels were recorded. The data are presented in the following table (see image).   A.Find the P-value B.State a conclusion. Can you conclude that the educational levels differ among the three states?

A fall survey of 2 and 4 year college students showed that of 167,000 students who responded, 65,130 had experienced food insecurity

Cincinnati Paint Company sells quality brands of paints through hardware stores throughout the United States. The company maintains a large sales force who call on existing customers and look for new business. The national sales manager is investigating the relationship between the number of sales calls made and the miles driven by the sales representative. Also, do the sales representatives who drive the most miles and make the most calls necessarily earn the most in sales commissions? To investigate, the vice president of sales selected a sample of 25 sales representatives and determined:  The amount earned in commissions last month (y) The number of miles driven last month (x1) The number of sales calls made last month (x2)  The information is reported below.  Commissions ($000) Calls Driven Commissions ($000) Calls Driven 23 68 2,372 39 188 3,291 14 30 2,229 44 218 3,103 34 136 2,733 29 105 2,123 39 180 3,353 38 162 2,794 24 77 2,291 37 154 3,209 47 186 3,451 15 25…

Cincinnati Paint Company sells quality brands of paints through hardware stores throughout the United States. The company maintains a large sales force who call on existing customers and look for new business. The national sales manager is investigating the relationship between the number of sales calls made and the miles driven by the sales representative. Also, do the sales representatives who drive the most miles and make the most calls necessarily earn the most in sales commissions? To investigate, the vice president of sales selected a sample of 25 sales representatives and determined:   The amount earned in commissions last month (y) The number of miles driven last month (x1) The number of sales calls made last month (x2)   The information is reported below.   Commissions ($000) Calls Driven Commissions ($000) Calls Driven 22 143 2,375 38 150 3,291 13 132 2,228 45 145 3,103 33 148 2,735 29 147 2,122 39 146 3,354 38 146 2,795 24 142 2,291 38 153 3,213 48 142 3,449…