A research group conducted an extensive survey of 3052 wage and salaried workers on issues ranging from relationships with their bosses to household chores. The data were gathered through hour-long telephone interviews with a nationally representative sample. In response to the question, "What does success mean to you?" 1456 responded, "Personal satisfaction from doing a good job." Let p be the population proportion of all wage and salaried workers who would respond the same way to the stated question. How large a sample is needed if we wish to be 95% confident that the sample percentage of those equating success with personal satisfaction is within 2.2% of the population percentage? (Hint: Use p ≈ 0.48 as a preliminary estimate. Round your answer up to the nearest whole number.)

Male and female respondents to a questionnaire about gender differences are categorized into three groups. Group 1 Men Women 40 6 Group 2 48 54 Group 3 80 34

A J.D. Power and Associates vehicle quality survey asked new owners a variety of questions about their recently purchased automobile One question asked for the owner's rating of the vehicle using categorical responses of average, outstanding, and exceptional. Anothe question asked for the owner's education level with the categorical responses some high school, high school graduate, some college, and college graduate. Assume the sample data below are for 500 owners who had recently purchased an automobile. Education Quality Rating Average Outstanding Exceptional Some HS HS Grad Some College College Grad 35 30 25 65 50 50 50 95 15 20 25 40 a. Use a 0.05 level of significance and a test of independence to determine if a new owner's vehicle quality rating is independent of th owner's education. Compute the value of the test statistic (to 2 decimals). 6.57 Use Table 3 of Appendix B to find the p-value. The p-value is greater than 0.10 What is your conclusion? Cannot conclude that the…

please answer a, b, c

he Computer Anxiety Rating Scale (CARS) measures an individual’s level of computer anxiety, on a scale from 20 (no anxiety) to 100 (highest level of anxiety). Researchers at Miami University administered CARS to 172 business students. One of the objectives of the study was to determine whether there are differences in the amount of computer anxiety experienced by students with different majors. They found the following: Major                  n           Mean   Marketing          19          44.37 Management     11          43.18 Other                 14          42.21 Finance             45          41.80 Accountancy     36          37.56 MIS                   47          32.21   (A) Complte the following ANOVA table: Source of Variation SS df MS F-ratio F-crit Between groups 3172 5  634.4  4.9567 2.2685 Within groups 21246 166  127.988     Total 24418 171       (A)  At the 0.05 level of significance, is there evidence of a difference in the mean computer anxiety…

A consumer group wanted to determine if there was a difference in customer perceptions about prices for a specific type of toy depending on where the toy was purchased.  In the local area there are three main retailers: W-Mart, Tag, and URToy.  For each retailer, the consumer group randomly selected 5 customers, and asked them to rate how expensive they thought the toy was on a 1-to-10 scale (1= not expensive, to 10 = very expensive). The toy was priced the same at all retail stores. Compute the percentage of variance explained by the group differences for these data. Q: Percentage and variance explained = ?

National Guard. The U.S. Department of Defense collects data on active members in the National Guard. Results are published in Selected Manpower Statistics. According to that document, 77.0% of members are in the Army National Guard and 10.2% of members are Black and in the Army National Guard. What percentage of members in the Army National Guard are Black?

In a study researching how donating to charity can affect a person's happiness, 96 participants were given $5 a day for one week. Each participant was randomly assigned to one of two groups. Those assigned to the first group were asked to spend the money on themselves, and those assigned to the second group were asked to donate the money to charity. At the end of the week, all of the participants were asked to rate their overall level of happiness on a scale from 0 to 100, with higher scores indicating greater levels of happiness. Which of the following are the appropriate null and alternative hypotheses to test whether the sample data provide convincing statistical evidence that donating to charity results in greater happiness than spending on oneself, on average? Ho self- "charity = 0 (A) Ha self charity >0 Ho self Mcharity=0 (B) Ha self charity 0 (E) Ha self = Mcharity <0

A survey by the National Institutes of Health asked a random sample of young adults (aged 19 to 25 years), "Where do you live now? That is, where do you stay most often?" Here is the full two-way table (omitting a few who refused to answer and one who reported being homeless): Survey Type Female Male Total Parents' home 923 986 1909 Another person's home 144 132 276 Living location Own place 1294 1129 2423 Group quarters 127 119 246 Total 2488 2366 4854 Should we use a chi-square test for homogeneity or a chi-square test for independence in this setting? Justify your answer. Chi-square test for homogeneity. The data came from a single random sample (n = 4854 young adults aged 19 to 25 vears), with the individuals classified according to two categorical variables (gender and "Where do you live now?"). O Chi-square test for homogeneity. The data came from two independent random samples (n=2488 young adult females and n = 2366 young adult males aged 19 to 25 years), with the individuals…

a.  P(Democrat|same) = b.  P(Democrat and same) =