A national consumer organization has conducted a poll among purchasers of desktop and laptop computers concerning the consumer's level of satisfaction with the selection of computers that were available for purchase, prices, knowledge of the machines by the salespeople, helpfulness of sales staff, and the availability of support services and technical advice offered when there was a problem. Sources of computers were divided into two groups: sales originating at retail/electronic stores or sales from manufacturer-direct stores and Web catalog retailers. For each type of sales outlet, a random sample of consumers who actually purchased a computer was asked to complete a survey, which consisted of a series of questions and ratings to be checked off. Scores for the survey ranged from 0 to 100. Each score in the stemplot below represents the average for at least 200 responses for that store or Web site. A score of 80 was considered to be customers who were, on average, very satisfied with the experience. A score of 60 indicated that customers were fairly satisfied. A score of 40 would indicate, on average, dissatisfied customers. Retail Stores Manufacturer Direct and Web Sales 2, 4 0, 1, 2 3, 3, 4, 5, 7, 7, 9 2, 3, 5, 6 3,7 1, 2, 3, 5, 6, 7 4 8. Which one of the following statements is TRUE? The ranges for the two ratings distributions are the same. The ratings distribution for retail/electronic stores is skewed to the right. The median of the ratings distribution for retail/electronic stores is higher than the median of the ratings distribution for direct and Web sales. The IQR for the ratings distribution of retail/electronic stores is smaller than the IQR for the ratings distribution of manufacturer direct and Web site stores. The ratings for retail/electronic stores are, on average, lower than the ratings for manufacturer direct and Web sales. (A) (B) (C) (D) (E) 907 664 2.

As a destination marketing director, you found that TV executives used the guideline that 25% of the viewers were watching Fox cable network, 22% watching NBC and CBS, and 19% watching ABC.  The remaining 12% were watching other cable networks such as CNN and MSNBC on a weekday night.  A random sample of 500 viewers in the D.C. metro area last Tuesday night showed 109 homes were tuned in to the Fox station, 125 homes tuning in to NBC affiliate, 100 homes tuning in to CBS affiliate and 81 homes tuning in to ABC affiliate.  85 homes were watching CNN and NSNBC cable stations.  At the 0.05 significant level, can we conclude that the guideline is still reasonable?

A 2009 Pew Research Center survey asked a sample of 1,504 adults living in the United States for their opinions on recent technological advancements, such as online shopping, cell phones, and social networking. Respondents categorized each advancement as a change for the worse, hasn't made much difference, a change for the better, or don't know. A summary of respondents' opinions on the Internet follows: Response Change for the worse Hasn't made much difference Change for the better. Don't know Percent of Respondents 16 11 65 8 Make a bar graph of the relative frequency distribution of the responses.

The more costly and​ time-consuming it is to export and​ import, the more difficult it is for local companies to be competitive and to reach international markets. As part of an initial investigation exploring foreign market​ entry, 9 countries were selected from each of four global regions. The cost associated with importing a standardized cargo of goods by sea transport in these countries​ (in US$ per​ container) is stored in the accompanying data table. Complete parts​ (a) through​ (d). East Asia & Pacific    Eastern Europe & Central Asia    Latin America & Caribbean    Middle East & North Africa240    77    1200    466777    335    688    397266    396    970    554383    83    290    644580    150    545    181220    306    420    646389    1125    450    695233    655    583    754392    100    1500    779 c. At the 0.05 level of​ significance, is there evidence of a difference in the variation in cost of importing among the four global​ regions? Determine…

Hospital administrators at a local hospital are interested in quality of care.  As such, they ask a random sample of patients that have used the hospital's health care services to fill out a questionnaire.  The questionnaire has questions about the patient's worry (negative, positive), the hospital staff's communication skills (low, medium, high), and satisfaction with medical care.  The administrators are interested in how patient's worry and their assessment of the hospital staff's communication impact their satisfaction with medical care.  The survey data are below.  What can the administrators conclude with an α of 0.01?   Communication Worry low med high negative 76868 54545 67495 positive 86677 78687 78666   A) Input the appropriate value(s) to make a decision about H0.Worry: p-value =  Communication: p-value = Interaction: p-value =  B) Using the SPSS results, compute the corresponding effect size(s) and indicate magnitude(s).Worry:  η2 =  Communication:  η2 =…

In determining the best companies to work for, a number of variables are considered, including size, average annual pay, and employee 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.   Predictor Coef SE Coef T P R-square Constant 12.1005 0.7826 15.46 0.000 79.6% Trust Index -0.07149 0.01966 -3.64 0.001   Average Bonus -0.0007216 0.0001481 -4,87 0.000       The correct null hypotheses for testing the regression coefficient of Trust Index (TI) is     βTI ≠ 0…