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University admission officers believe that scores on the Scholastic Aptitude Test (SAT) are strongly related to academic performance. In other words, high school students who have higher SAT scores will have higher grade point averages in college. For years, officers have been using SAT scores to place college students in certain classes their freshmen year. Now the Admission Director wants to know if this policy is effective. You random sample 200 college sophomores and compare their SAT scores to their grade point average for their freshmen year. You calculate a Pearson's r for correlations and receive a value of .354 between the two variables. You also calculate the significance of your findings (using a computer) and receive a significance value of .015.
In a paragraph based on the results from the correlation, what will you tell the Admission Director? Are these two variables related? Should this policy be continued? Be certain to mention the direction of the relationship, the strength of the relationship, and whether our findings are statistically significant.
The mean amount of time a (unnamed) computer server is down is 18.3 minutes with a standard deviation of 5.7 minutes.
In an analysis of variance problem involving 3 treatments and 10 observations per treatment, SSE = 399.6. The MSE for this situation is:
A random sample of students is selected, and each one is asked to try first brand A and then brand B, or vice versa with the order determined at random.
At the end of 24 weeks of treatment, subjects were classified as responders or non-responders to treatment based on a battery of psychological tests.
Explain the strength of relationship between the assets?
Run a multiple regression and interpret all the findings, R 2 , F, IV coefficients, and the intercept. Then in paragraph format, identify and report the following:
Write up your results by using scientifically recognized form.
The significance level of a statistical test is equal to the probability that the null hypothesis is true.
A. Determine the regression equation. B. Determine the estimated sales if 40 contacts are made.
Test the hypothesis that there is no difference in the mean scores of Exam 1 and Exam 2 against the alternative that the average is greater for the second exam.
Illustrate by computation that, for straight -line regression of Y on x, β1= 0.
For each of the following problems, assume that the homogeneity of variance assumption has not been met and that you will need to use the adjusted Welch statistic.
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