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Question 1: Several statistical tests have a way to measure effect size. What is this, and when might you want to use it in looking at results from these tests on job related data?
Question 2: In many ways, comparing multiple sample means is simply an extension of what we covered last week. Just as we had 3 versions of the t-test (1 sample, 2 sample (with and without equal variance), and paired; we have several versions of ANOVA - single factor, factorial (called 2-factor with replication in Excel), and within-subjects (2-factor without replication in Excel). What examples (professional, personal, social) can you provide on when we might use each type? What would be the appropriate hypotheses statements for each example?
Describe the different type of taxes and their rates in Spokane WA.
Formulate the Linear Programming model for this problem. Solve the problem using Excel Solver or QM for Windows.
What differentiates a Z test statistic for a population from the z statistic for sampling of the mean? Why difference. Consider a normal population
Compute the amount of net income reported by Light for 20X2. In addition, prepare the stockholders' equity section of Light's balance sheet as of December 31, 20X2.
Using the least-significant difference test, identify the significant differences between the programs.
Find the equation of the tangent line to the graph and Find the velocity and the acceleration of the particle and position of a particle moving along a straight line
fourier seriesa fourier series may be truncated to the formfor each of the following functions nd the fourier coecients
a consumer products company wants to calculate the effectiveness of different types of advertising media in the
a young couple eve and steven want to divide their four main household chores so that each is responsible for two of
managing ashland multicomm services1. hint let pi 0.02 as shown in the table for no free premium channels.a. px lt 3
Find the probability density function.
Behaviour of the functions at their end and midpoints points to suggest features that increase the convergence and those that are bad for convergence.
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