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Describe a scenario related to the final project in which you would use repeated-measures ANOVA. Describe a scenario related to the final project in which you would use MANOVA. State what hypotheses you would be able to test with each of these two different analyses.
Suppose a student received the following grades for the semester: History, B; Statistics, A; Spanish, C; and English, C. History and English are 5 credit hour courses
There're several advantages of using a paired t-test. Since the same subjects are being tested in each of the varying conditions, those subjects serve as their own control.
Why is effective sampling important when performing a hypothesis test? What could happen if your sample is not appropriate to your study?
Some people who bought X-game gaming systems complained about having received defective systems. The industry standard for such systems has been 98% non-defective systems.
Using this information, calculate Blpha risk (probability of Type II error) if the true population mean really is 81.
Of the 900 employees, 590 had college degrees, 120 were single, and 80 were single college graduates. Find the probability that an employee of the company is married and has a college degree.
The mean assembly time for a random sample of 24 carts, using the new method, was 40.6 minutes, and the standard deviation of the sample was 2.7 minutes.
Determine her weighted mean grade? What letter grade did she earn? (A, B, C, D or F).
What is the probability of selecting a value at random and discovering that it has a value of less than 395 pounds?
The number of widgets produced by 9 employees in an eight hour shift is recorded as: 135, 120, 116, 119, 121, 125, 135, 131, 123. What is the median of the number of widgets produced presented above?
Chi square compares actual data with expected data. What would the expected data be? For example, if I know the percentage of brown M&Ms in a bag is 40% set by the company
A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently sold homes in the area, the variables
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