A study was conducted measuring the performance of employees working varying shift schedules. Three individuals conducted the tests rating performance . What could be used to determine whether the three indivuals were giving consistent ratings?
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A study was conducted measuring the performance of employees working varying shift schedules. Three individuals conducted the tests rating performance . What could be used to determine whether the three indivuals were giving consistent ratings?
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- Suppose you were to collect data for the following pair of variables, people: age, grip strength. You want to make a scatterplot. Which variable would you use as the explanatory variable? age grip strength Which variable would you use as the response variable? age grip strength Would you expect to see a positive or negative association? positive negative neitherhe 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 psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean exam score on the previous three tests. She then asked them to rate how likely they were to cheat on an exam if the opportunity presented itself with a very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat. Before opening the data, what would you hypothesize about this research question? Open the data set. Before running any statistical analyses, glance through the data. Do you think that your hypothesis will be supported? Conduct descriptive analyses and report them here. Conduct a one-way ANOVA. Report your statistical findings (including any applicable tables in APA format) here. What would you conclude from this analysis? What would be your next steps, if this…
- 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 = ?In a city with three high schools, all the ninth graders took a Standardized Test, with these results: Mean High Number of ninth Test School graders (Frequency) Score Glenwood 83 263 Central 94 323 Lincoln 70 184 The city's PR manager, who never took statistics, claimed the mean score of all ninth graders in the city was the average of 83, 94, and 70, which is 82.3. Of course, that is incorrect. What is the mean score for all ninth graders in the city? Round to one decimal place. Mean of all ninth grader's scores =Does the attendance in nursery school relate to the thinking skills of a pupil? Assume that 12 pupils were randomly chosen from a Grade 1 class and were given a test on thinking skills.Given the scores below, are these two variables related? For attendance of nursery school, “1” means did attend and “0” did not attend. The data are given below.
- 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 <0A college professor conducted student evaluations at the end of a semester. One important question asked was, "Would you recommend this professor to a friend?” Fifty-four students responded using the following 1-to-5 rating scale. 1 = "absolutely not" 2 = "probably not” 3 = "no opinion" 4 = "probably yes" 5 = "absolutely yes" Student responses were recorded. "Blank" indicates that a student skipped this question on the evaluation. 4 #28: #1: Blank #10: #2: Blank #3: #4: Blank #5: #6: #7: #8: 4 #9: 5 4 5 2 # 11: #12: #13: #14: #15: # 16: #17: 3 Blank 5 Blank Blank 1 5 Blank # 19: #20: #21: #22: #23: #24: #25: #26: 4 #18: Blank #27: 1 2 #30: 1 #31: 3 Blank 5 #29: 5 Blank #32: #33: #34: #35: 1 #37: 5 Blank 4 1 5 4 5 #38: #39: #40: # 41: #42: #43: #44: #36: Blank #45: 2 #46: Blank 1 5 4 Blank #49: 5 #47: Blank #48: #50: #51: #52: Blank #53: 1 5 4 5 5 1 5 1 #54: BlankYou may need to use the appropriate technology to answer this question. The Wall Street Journal Corporate Perceptions Study 2011 surveyed readers and asked how each rated the quality of management and the reputation of the company for over 250 worldwide corporations. Both the quality of management and the reputation of the company were rated on an excellent, good, and fair categorical scale. Assume the sample data for 200 respondents below applies to this study. Reputation of Company Quality of Management Excellent Good Fair Excellent 40 25 8 Good 35 35 10 Fair 25 10 12 (a) Use a 0.05 level of significance and test for independence of the quality of management and the reputation of the company. State the null and alternative hypotheses. O H: Quality of management is independent of the reputation of the company. H: Quality of management is not independent of the reputation of the company. O H: Quality of management is independent of the reputation of the H: The proportion of companies…
- The concept “Job Involvement” is defined as the degree to which an employee is engaged in and enthusiastic about performing his/her work. In a study one section of the questionnaire was designed to measure “Job Involvement” of the employees. There were 6 items in this construct, each measured on a Likert scale of 1 to 5: JINV1. The major satisfaction in my life comes from my job JINV2. My job means a lot more to me than just money JINV3. I will stay overtime to finish a job, even if I am not paid for it JINV4. I look forward to coming to work each day JINV5. I would probably keep working even if I didn’t need the money JINV6. The most important things that happen to me involve my work The questionnaires were self-administered and 200 cases were used in the final analysis. The data were analysed using SPSS. The following are some of the output from factor analysis. 1) Interpret the values presented in the Table 9. 2) Interpret the values presented in Table 10 3) Write a brief…Twelve inmates in a particular prison took part in an anger management class. Before it began, the median score on an anger control assessment of the group was 42 (out of a maximum of 60). After the six month class, the participants scores on the same assessment were 35, 41, 40, 44, 57, 36, 39, 47, 58, 39, 42, 39. 1. Construct a boxplot of the data and explain briefly why a sign test is appropriate to use in this caseA sample survey by Comcast asked a random sample of customers about use of the Internet and about the type of community they lived in. Here are the results: Internet Users: Rural: 433 Suburban: 1072 Urban: 536 Nonusers: Rural: 463 Suburban: 627 Urban: 388 Is there a relationship between Internet use and community type? Give statistical evidence to support your findings.