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I have studied 3 similar methods for testing hypotheses about population means -- a 1-sample test, and 2 versions of a 2-sample test (independent samples, and dependent samples).
What are the key conceptual differences between these 3 methods? In other words, under what conditions do we choose each method for our analysis, and why?
What conclusions can you draw about the nature of the relationship between anxiety and exam performance?
Would you use a one-tailed or two-tailed test? Explain your response.
This set of height measurements are recorded in centimeters. Answer the following questions using the Histogram Applet.
For the samples summarized below, test the hypothesis at =0.05 that the two variancees are equal.
Assume you always reject null hypothesis, regardless of any sample evidence. Determine the probabiliyt of Type II error? P(Type II error).
The hypotheses tested by the one-way ANOVA F test - Evaluate the P-value of the ANOVA F test
Suppose that a random sample of fifteen recently sold houses in a certain city has a mean sales price of $290000 , with a standard deviation of $15,000.
OHIP records show the average length of stay in Ontario hospitals is 5.4 days. A researcher sampled 125 patient records at US hospitals and found that the mean stay was 4.6 days
Identify a research question from your professional life, research interests, or everyday experience that could be addressed by this analysis.
Find the regression equation and percentage of variance and test whether the equation is significant portion of the variance.
If the probability of making a two point shot is greater than the probability of making a three point shot, why do coaches allow some players to shoot the three point shot if they have the opportunity? Use expected value to explain your answer.
What are confounds? Give an example of a design that has three confounds. Describe three ways to alter the design to address these confounds and explain the advantages and disadvantages of each.
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