Create real life problem situations in psychological field that illustrates the use of each of the following probability and non- probability sampling techniques. 1. Stratified Sampling
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- (c) Calculate the test statistic. d) Decide whether to reject or fail to reject the null hypothesis. Then interpret the decision in the context of the original claim.Suppose you are a researcher and you are interested in determine the consumption behavior of all first year students at Mzumbe University. Due to limited resources you decide to select only 500 students to represent the entire group. Use the stratified sampling with probability proportional to size to identify the number of students from each programme that will be included in the sample. Assume that the total number of students in each degree programme is as indicated in the table below; Course Econ BAF HRM Education Computer No of students 500 800 1000 400 200 Source: Hypothetical dataPart 1: The Goodness-of-fit test The problems in this section are taken directly from the course textbook. 1. A factory manager needs to understand how many products are defective versus how many are produced. The number of expected defects is listed in Table A. A random sample was taken to determine the actual number of defects. This information is contained in Table B below. Table A Number produced 0-100 101-200 201-300 301-400 401-500 Number defective 5 6 7 8 10 Number produced 0-100 101-200 (c) What are the degrees of freedom? 201-300 301-400 Table B 401-500 Number Defective 5 7 8 9 11 (a) Write out the null and alternative hypothesis. Use correct notation. Clearly label the claim. (b) Can a goodness-of-fit test be used? If your answer is, "yes," conduct the goodness-of-fit test. If you answer is, "no," explain why this test does not apply.
- REVIEWING PSYCHOLOGICAL STATISTICS CONCEPTS Note: All participants are randomly assigned to the groups PROBLEM 3: The researcher conducted an experiment to determine whether temperature affects the test performance of college students. He matched the participants according to the GPA prior random assignment to the experimental and control group. One group took a 50-item test in a warm room while the other group took the same test in a cold room. He wanted to test the hypothesis at 0.05 level of significance. The following results were gathered:Quasi-experimental designs classify cases by: a. manipulating independent variables of interest. b. using the naturally occurring status of participants. c. manipulating dependent variables of interest d. using random assignmentSubject:stistic
- Economy in Recession? The Quinnipiac University Poll conducts nationwide surveys as a public service and for research. This problem is based on the results of one such poll. Independent simple random samples of registered Democrats, Republicans, and Independents were asked, “Do you think the United States economy is in a recession now?” Of the 628Democrats sampled, 220 responded “yes,” as did 349 of the 471 Republicans sampled and 342 of the 646 Independents sampled. At the 1% significance level, do the data provide sufficient evidence to conclude that a difference exists in the percentages of registered Democrats, Republicans, and Independents who thought the U.S. economy was in a recession at the time?Question 1Explain the following concepts:(a) Parameter(b) Stratified random sampling (c) Descriptive statistics (d) Inferential statistics Elaborate the answers according to the question. Thank you.Many times we collect samples of data from the bigger population because the population is too large to use....because of time, cost, and ease. But, the best samples are a true reflection of the bigger population data. This Unit discussed several different sample types. Please define and then discuss how you might collect each of the following samples from your own organization: Simple Random Sample Stratified Random Sample Cluster Random Sample Which of the these three would likely give you the best reflection of the population data?
- Polling 2004. In the 2004 U.S. presidential election,the official results showed that George W. Bush received50.7% of the vote and John Kerry received 48.3%. RalphNader, running as a third-party candidate, picked uponly 0.4%. After the election, there was much discussionabout exit polls, which had initially indicated a differentresult. Suppose you had taken a random sample of 1000voters in an exit poll and asked them for whom they hadvoted.a) Would you always get 507 votes for Bush and 483 forKerry? b) In 95% of such polls, your sample proportion of vot-ers for Bush should be between what two values? c) In 95% of such polls, your sample proportion of vot-ers for Nader should be between what two numbers? d) Would you expect the sample proportion of Nadervotes to vary more, less, or about the same as thesample proportion of Bush votes? Why?Textbook question for practise - A behavioural psychologist has developed a cognitive-behavioural therapy (CBT) technique modified from classic systematic desensitization to reduce her patients’ phobia of spiders. She decides to test the effectiveness of her new therapy approach by selecting ten patients at random to undergo the treatment for 3 months. The patients were asked to rate how much fear they feel/experience when in the presence of a spider/spiders using a scale from 0 (no fear at all) to 100 (extreme panic and fear). They were tested before and after the therapy. The ratings for each patient are as follows: For this question, be sure to do the following: ▪ State the statistical hypotheses (using the appropriate notation). ▪ Indicate whether the research hypothesis is non-directional or directional (and how you know). ▪ Set the decision rules, which will include: o State alpha - 0.05% o Compute the degrees of freedom o Providing the critical value for the test statistic…D1)
