ANSWER THE FOLLOWING PROBLEM WITH A COMPLETE SOLUTIONA researcher wishes to see of the way people to obtain information is independent od their educational background. Asurvey of 401 high school and college graduates yielded the following information. At a = 0.05, can one conclude that theway people obtain information is independent of their educational background?TELEVISIONNEWS PAPEROTHER SOURCESТОTALHigh School1599051College274331TotalStep 1:Ho:Ha:Step 2:Degrees of freedom:Critical value:Step 3:Decision rule:Step 4: Compute for the expected frequenciesE11=E12=E13=E21=E22=E23=Step 5:Decision:Step 6:Conclusion:

Answered: Image /qna-images/answer/c1423951-ec81-4d5d-a007-9bc350ca60a3.jpg

Answered: A researcher wishes to see of the way…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A researcher would like to know whether there is a consistent, predictable relationship between verbal skills and math skills for high school students. A sample of 200 students is obtained, and each student is given a standardized English test and a standardized math test. Based on the test results, students are classified as high or low for verbal skills and for math skills. The results are summarized in the foll ng table: High Verbal Low Verbal High Math 59 41 100 Low Math _31 69 100 90 110 200 1. Based on these results, can the researcherconclude that there is a significant relationship between verbal skills andmath skills? Test at the .05 level of significance. 2. State the research hypotheses 3. Identify the critical value 4. Calculate the test statistic 5. Evaluate the null hypothesis
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Let's use SPSS to run a one-sample t-test! Imagine that you are interested in whether the number of hours students in a statistics course work each week differs from the average number of hours reported by the general student body at ASU. Thankfully, you have a data set that consists of information from students in a statistics course, including how many hours they work each week ("workhours"). You also happen to know that the average number of hours worked each week by the general student population at ASU is 25. Use the data provided to conduct a one sample t-test in SPSS comparing the sample data to the population mean.. The dependent variable for your test should be "workhours". Based on your output, the average number of hours worked each week by a sample is ________ . Enter your answer rounded to two decimal places (i.e., 10.01, not 10.1, not 10.0, not 10.010).
Already did the questions that I understood but I need help with question b and question C. Thanks so much!
Can you help me with the code for this in R please? 2. The article ["CSI Effect Has Juries Wanting More Evidence" (USA Today, 2004)](https://usatoday30.usatoday.com/news/nation/2004-08-05-csi-effect_x.htm) examines how the popularity of crime-scene investigation television shows in influencing jurors' expectation of what evidence should be produced at a trial. In a survey of 500 potential jurors, one study found that 350 were regular watchers of at least one crime-scene forensics television series. i) Assuming that it is reasonable to regard this sample of 500 potential jurors as representative of potential jurors in the US, use the given information to construct and interpret a 95\% confidence interval for the proportion of all potential jurors who regularly watch at least one crime-scene investigation series. ii) Using the same sample proportion as part (i), construct a 95\% confidence interval for same proportion but instead use a sample size of 50. iii)…
Suppose that Kim is a participant in a study that compares several coaching methods to see how they affect math Scholar Aptitude Test (SAT) scores. The grand mean of math SAT scores for all participants (My) in the study is 550. The group that Kim participated in had a mean math SAT score of 565. Kim’s individual score on the math SAT was 610. What was the estimate residual component (of Kim’s score, that is, the part of Kim’s score that was not related to the coaching method? (Both parts of this question call for specific numerical values as answers). What was that “effect” (ai) component of Kim's score? What pattern in grouped data would make SSwithin = 0? What pattern within data would make SSbetween = 0?
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