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Please make up and discuss research examples corresponding to the various techniques introduced throughout this course. Describe a plausible study for each of the following statistical procedures, indicating how it would apply and what results you would predict. Also include information about the number of participants you would assess and how you would go about estimating effect size and statistical power (when relevant).
a. correlationb. multiple regressionc. t test for independent meansd. t test for dependent meanse. ANOVAf. chi square for goodness of fitg. chi-square test for independence
Did you find any outliers on the dependent variables that were due to errors of coding? If so, what and why? How would you correct an error of coding?
Do the data from this sample provide evidence for a significant increase in REM activity during exams? Use a one-tailed test with _ = .01. B.) Compute Cohen's d to estimate the size of the effect.
Determine critical value if alpha = 0.05? If p-value for this test is 0.025, this p-value means?
When we carry out a chi-square test of independence, the expected frequencies are based upon the Null hypothesis - true or false.
Find a 90% confidence interval for the population mean weight of all such turtles.
It is better to use the median rather than the mean for a distribution when:
Internal study by Technology Services department at Lahey Electronics disclosed company employees get the average of 2 emails per hour. Suppose arrival of these emails is approximated by Poisson distribution.
If the manufacturer's claim is true, what is the probability that the claim will be rejected?
Carry out the suitable hypothesis test, at alpha = .05, to find out whether there is a relationship between school/work and stress.
Use normal approximation to determine probability that x = 2. Illustrate all work.
Interpret the correlation between each set of variables.
Research question: Are the mean crash damages the same for these three vehicles?
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