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ANOVA
Identify a research question from your professional life or research interests that could be addressed by a two-way factorial ANOVA. Indicate why factorial ANOVA would be an appropriate analysis for this research question. Describe the predictor variables A and B and levels (groups) and the outcome variable and its associated measurement scale. Articulate the null hypotheses for each main effect as well as the interaction. Discuss the expected outcome of the factorial ANOVA.
Estimate the mean, median and standard deviation of the ages of cars.
How much does a sleeping bag cost? Let's say you want a sleeping bag that should keep you warm in temperatures from 20°F to 45°F. A random sample of prices ($) for sleeping bags in this temperature range is given below. Assume that the population ..
Probability 0.15 of a $47,178 profit and probability 0.40 of breaking even (zero profit). What is the expected value of the profit?
What is the probability that Highmark will begin a new reminder campaign - What is the probability that no action will be taken? What if the true proportion
Describe how structural equations modeling works.- Distinguish between latent variable modeling and path analysis as types of structural equations modeling.
Assume the data have bell shaped distribution with a mean of 30 and a standard deviation of 5. Employ the empirical rule to determine the percentage of data within each of the following ranges: 20 to 40, 15 to 45, and 25 to 35.
Applied the central limit theorem to estimate the probability that there are no more than 80 vegetarian sausages
Sheldon (1940) examined the relationship between personality characteristics and physical characteristics (body shape)
Suppose that scores on a particular test are normally distributed with a mean of 130 and a standard deviation of 19. What is the minimum score needed to be in the top 5% of the scores on the test?
Find the probability that the sample mean fuel consumption will be fewer than 27 miles per gallon if samples of 1?, 4 and 9 are taken.
Write the null and alternative hypotheses for testing if participants and non-participants differ in level of problem behavior (Y).
The results for college x was a mean of 5 hours and an estimated population variance of 2 hours: for college y, m= 4, s 2 =1.5; and for college Z, M= 6, s 2 =2.5 what should you conclude? Use the .5 level.
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