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Submit the Following (using this website: https://www.gpower.hhu.de/)2. Calculate the sample size needed given these factors:•ANOVA (fixed effects, omnibus, one-way)•small effect size•alpha =.05•beta = .2•3 groups•Assume that the result is a sample size beyond what you can obtain. Use the compromise function to compute alpha and beta for a sample approximately half the size. Give your rationale for your selected beta/alpha ratio. Indicate the resulting alpha and beta. Give an argument that your study is worth doing with the smaller sample.3. In a few sentences, describe two designs that can address your research question. The designs must involve two different statistical analyses. For each design, specify and justify each of the four factors (statistical test, effect size, alpha level and beta level) and calculate the estimated sample size you'll need. Give reasons for any parameters you need to specify for G*Power.(My research questions is: Are there certain practices and policies administration in a school can implement in order to increase teacher retention?) In the study, I will first calculate teacher turnover without such policies. Then, I will implement certain policies and procedures identified as possibly helpful then review turnover after the policies have been implemented.
Do exchange students like these who go to college in Canada fall in love more often than those who complete their studies in their country of origin -
Produce a short report to update your manager on both the method and results of your analysis and the introduction od 'Six Sigma'.
ANOVA and Factorial Designs
Computer output from a multiple regression model with three independent variables yields the following estimated regression equation: 20.9 + 1.4X1 + 4.2X2 - 0.7X3.
Determine the posterior probabilities, given the following prior and likelihood probabilities.Prior probabilities P(s1) = .25 P(s2) = .40 P(s3) = .35 Likelihood Probabilities
Which of the following is NOT a point estimate?
Would there be a possibility to use the correlation coefficient to identify collocations and Compare with the Chi2 test and How could we maybe do that
Use Analyze, Descriptive statistics, Frequencies to summarize nonmetric variables, and create a pie-chart for Year in college and create a histogram for IQ and include the normal distribution.
SPC is one of a number of tools which can be used to improve manufacturing quality standards - Outline two techniques which can be used to decide where to put SPC effort most effectively.
What is the standard error of his prediction
How many categories in the ACME transportation table are qualitative and what is the average number of merchandise per order, for all orders? Round to the nearest integer and what is the standard deviation of all orders in this sample?
Develop a sales forecast for each store for December Plot the data for each store.Use data in table.
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