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Assume that another counselor decided to extend the aforementioned study by collecting data on 14 children. His study yielded the following results:
Racial Attitude and Preference Test Scores (X)
2 4 2 5 7 8 12 14 14 16 18 18 20 20
Racial Socialization Test Scores (Y)
4 6 8 10 14 12 14 11 16 10 12 6 6 4
Calculate and interpret the slope, y intercept, regression equation, regression coefficient, and coefficient of determination.
A question has these possible choices - excellent, very good, good, fair, and unsatisfactory. How many degrees of freedom are there using the goodness-of-fit test to the sample results?
Can we conclude that the mean time for a game is less than 3.50 hours? Use the .05 significance level.
If we assume that the errors made by rounding off are iid and have a uniform distribution over the interval ( - ~, ~), compute approximately the probability that the sum of the integers is within two units of the true sum.
Jamie expects that a bulb will last for 400 to 500 days, what is the probability of an Acme bulb satisfying that?
What is the chi-square goodness-of-fit test? What are the differences/similarities between this test and an independent t-test? How do you know when to use one analysis over the other? Show an example.
Let x be a random variable that represents a test score. What is the lowest score that would still place a student in the top 40% of the scores?
You are given the sample mean and the sample standard deviation. Use this information to construct the 90% and 95% confidence intervals for the population mean. Interpret the results and compare the widths of the confidence intervals. If convenien..
Testout the significance of the sample correlation also develop regression equation with scatter plot. Calculate chi-square is less than the critical value
Introduce some basic library search tools and demonstrate the relevance of statistics (in this case, regression analysis) to your chosen field of study. MS 3043 - Spring 2014 Project
Assume the arrival of these emails i3 approximated by the Poisson distribution.
A study was designed to compare variability of male and female diastolic blood pressure. The null hypothesis was that the population standard deviation were equal versus the alternative that they were not equal.
Do these scores suggest that the different foods are differentially preferred by people in general? (Use the .05 significance level.)
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