Relationship between academic stressors and learning preferences of senior high school students Statistical tests: Explanation:
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Relationship between academic stressors and learning preferences of senior high school students
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- What procedure is used to test whether two interval or ratio variables are related or not?A. Correlation AnalysisB. Two-sample t-testC. Chi-square testD. Analysis of VarianceTrue or False: Explain Suppose that OLS is unbiased for the following bivariate model: Y = B0 +B1X +u and suppose that the true slope coefficient B1 = 7. If you use the standard t-statistic to test the null hypothesis that the slope coefficient is equal to 0, the probability that you will reject the null hypothesis will increase if you reduce your sample size.A researcher wants to measure average cardiovascular health of university students and compare those scores to the average scores in the general population. Assuming that population variance is known, what statistical test is most appropriate for this study? independent-samples t-test single-sample t-test z-test for sample mean related-samples t-test
- An economist wishes to determine whether there is evidence that the average family income in a community is less than $75,000 or not. Should she use a two-tail or upper tail or lower tail hypothesis test? Explain. (d) Briefly explain the steps needed for a completely randomized experimental design in Analysis of Variance. Give a real world example to clarify. Use at least 8 sentences to answer this question. (e) What is multiple regression analysis? What are the differences between the simple linear regression analysis and the multiple regression analysis? Give a real world example to clarify. Use at least 8 sentences to answer this question.To help assess the health risks of second-hand smoke, the levels of cotinine (a metabolite of nicotine) were measured in mmol/l in the urine of seven subjects prior to exposure to second-hand smoke and shortly after a two-hour exposure to secondary cigarette smoke. Did the exposure significantly increase the cotinine level? What will be the appropriate statistical analysis to use in this problem? a. z-Test for Comparing Two Means from Independent Populations b. t-Test for Comparing Two Means when the Samples are Dependent c. z-test for comparing the difference between two proportions d. t-Test for Comparing Two Means from Independent Samples e. F-test in Comparing the Difference Between Two VariancesThe goal of analysis of variance (ANOVA) is toa. detect differences in treatment variances (or variances for different populations).b. detect differences in treatment means (or means for different populations).c. analyze the average variances for different populations.d. analyze the variances of the variances for different populations.
- A researcher who wanted to understand whether there was a significant difference between the average grades of the students from 3 different courses obtained the following data (Same number of samples was taken). a) In the table containing the data for variance analysis, “?” Find the data indicated by the sign and the number of samples.b) Test whether there is a significant difference between the means at the 5% significance level.1. What is the difference between an influential point and an outlier 2. If the regression line is not a "good fit" what would be better to use to approximate a response variable? 3. What information does a residual plot give usWhen can you use the Chebyshev criterion, and when you cannot? If the Cebyshev criterion cannot be used how do you determine that your model is a good fit to the data set?
- One sample is selected to represent scores in treatment 1 and a second sample is used to represent scores in treatment 2. Which set of sample statistics would present the clearest picture of a real difference between the two treatments? Group of answer choices M1 = 36; M2 = 40; and both variances =43 M1 = 38; M2 = 40; and both variances =43 M1 = 36; M2 = 40; and both variances =6 M1 = 38; M2 = 40; and both variances =6An experiment was conducted into various phobias, by the department of Psychology at Lowlands University. One hundred subjects were shown pictures of things that typically induce fear (spiders, violence, extreme heights, bloody wounds etc). They were then asked how frightened they were. State whether or not the data is suitable for analysis using correlation and regression, and explain fully why you have reached that conclusion. Observation Not frightened A little frightened Frightened Terrified 1 Spiders 2 Zombies 3 Blood 4 House fire 5 Clowns 6 Vampires 7 Explosions 8 Surgeries 9 Exam rooms 10 Job centresTrue or False: In order to perform an analysis of variance (ANOVA), the response variable must be quantitative.