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- The higher the level of significance, the more prone to errors is the decision. True or false?You need to use Stata to look up the dataset and its variables. Use Stata Companion Textbook. (Dataset: NES. Variables: spend8, [pw=nesw].) The NES dataset contains spend8, which records the number of government policy areas where respondents think spending should be increased. Scores range from 0 (the respondent does not want to increase spending on any of the policies) to 8 (the respondent wants to increase spending on all eight policies). The NES, of course, polls a random sample of U.S. adults. In this exercise you will analyze spend8 using the mean and lincom commands. You then will draw inferences about the population mean. (Remember to specify nesw as the probability weight.) The spend8 variable has a sample mean of ______. Make sure you use [pw=nesw] so your results are nationally representative. There is a probability of .95 that spend8’s true population mean falls between a score of ______ at the low end and a score of ______ at the high end. A student researcher…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…
- lllustrate the relation between the Significance Level and power?Provide an example of a study, including the variables, level of measurement, and hypotheses, for which a researcher could appropriately choose two different statistics to examine the relations between the same variables. Explain your answer.what would happen to the mean, median, and mode values that you calculated ,if you added one player to the team whose points per game for the season was 25. just tell me if the mean, median, and mode would go up, down, or stay the same. Give an example of variable for which the mean would not be appropriate to describe the data (that is, tell me a circumstance in which you would not want to use the mean to describe a dataset)
- Please also explain why you determined whether or not the results are statistically significant. In another memory experiment, the mean scores for participants in Condition A and Condition B came out exactly the same!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 in Table 12 2) Overall how good is the instrument in measuring career salience? 3) If there is…Based on what we know about infants' use of statistical learning, what might explain individual differences in the number of words children understand by 1 year of age? (Remember, the median number of words known is 70, with the 10th percentile knowing 25 words and the 90th percentile knowing >200 words). Answers: Individual differences in reinforcement for listening to speech. Individual differences in number of words heard. Individual differences in categorical perception.
- Auditors must make judgments about various aspects of an audit on the basis of their own direct experience, indirect experience, or a combination of the two. In a study, auditors were asked to make judgmentS about the frequency of errors to be found in an audit. The judgments by the auditors were then compared to the actual results. Suppose the following data were obtained from a similar study; lower scores indicate better judgments. If answer is zero enter "0". Direct Indirect Combination 18.0 17.8 15.6 17.8 19.2 16.3 14.0 17.0 21.4 20.2 19.1 24.3 19.1 20.3 24.5 24.8 20.9 27.0 26.7 25.0 23.9 Source Sum of Degrees Mean Square F p-value of Squares of (to 2 (to 2 (to 2 Variation (to 2 decimals) Freedom decimals) decimals) decimals) Treatments Error Total Use a = 0.05 to test to see whether the basis for the judgment affects the quality of the judgment. The p-value is - Select your answer - What is your conclusion? Select your answer -Does the type of instruction in a college statistics class (either lecture or self-paced) influence students’ performance, as measured by the number of quizzes successfully completed during the semester? Twelve students were recruited for the study. Students received the lecture instruction or a self-paced instruction. The total number of quizzes completed during teach type of instruction appear below.Verbal intelligence was a topic that Jamie was very interested in. She conducted a study to see whether children with ADHD had lower scores on measures of verbal intelligence than those without ADHD. She divided children in her study into 4 groups- those clearly diagnosed with ADHD- combined type, those clearly diagnosed with ADHD- inattentive type, those with ADHD symptoms but not clearly diagnosed, and those without ADHD. Then she measured their scores on the Reading Comprehension task, Vocabulary task and Writing Task. What type of statistic did she run? A 4 way MANOVA A 4 way MANCOVA A one way MANOVA A Factorial MANOVA