Purchase Solution

T-test or f-test (ANOVA), Chi-Square, Mann-Whitney U test & more

Not what you're looking for?

Ask Custom Question

There are numerous times when the information collected from a real organization will not conform to the requirements of a parametric analysis. That is, a practitioner would not be able to analyze the data with a t-test or f-test (ANOVA). Presume that a young professional had read about tests—such as the Chi-Square, the Mann-Whitney U test, the Wilcoxon Signed-Rank test, and Kruskal-Wallis one-way analysis of variance—and wants to know when it is appropriate to use each test, what each test is used for, and why each would be used instead of the t-tests and ANOVA. How would you address this person's concerns?

Purchase this Solution
Solution Summary

The different types of tests and appropriate use of the tests are identified.

Solution Preview

For addressing this concern remember the following:
1. T-tests would not reveal an association between two variables, because the procedure for T-Tests must be conducted separately, meaning you shall conduct a test in order of variable preference and/or priority.
2. Correlation analysis can only be used with quantitative variables and typically measure the association between variables.
3. Crosstab is a helpful descriptive statistic that lists the options for one variable as rows and the options for the other variable as columns, making possible the tabulation of two variables at the same time and the comparison of categorical variables. Nevertheless, it is extremely important to determine the association between variables and their statistically significance.
4. Parametric analysis can be referred to when the researcher can check that two samples are normally distributed. Therefore, Non-Parametric Analysis differ ...

Purchase this Solution
Free BrainMass Quizzes
Six Sigma for Process Improvement

A high level understanding of Six Sigma and what it is all about. This just gives you a glimpse of Six Sigma which entails more in-depth knowledge of processes and techniques.

Marketing Research and Forecasting

The following quiz will assess your ability to identify steps in the marketing research process. Understanding this information will provide fundamental knowledge related to marketing research.

SWOT

This quiz will test your understanding of the SWOT analysis, including terms, concepts, uses, advantages, and process.

Marketing Management Philosophies Quiz

A test on how well a student understands the basic assumptions of marketers on buyers that will form a basis of their marketing strategies.

Learning Lean

This quiz will help you understand the basic concepts of Lean.

View More Free Quizzes
Related BrainMass Solutions

  • A Glimpse into History and Statistical Tests

    Wilcoxon rank sum, Kendall's and Mann-Whitney U test are similar tests and in the case of ties, Mann-Whitney U test is equivalent to the chi-square test.

  • Non-parametric Hypothesis Tests, Correlation & Regression

    The scoring breakdown is: - 1 point: Selected correct variables for Mann-Whitney U test - 1 point: Mann-Whitney U test performed correctly - 1 point: Mann-Whitney U test decision and conclusion correct - 1 point: Selected correct variables

  • Chi-square, Matching Nonparametric Tests with Parametric

    Nonparametric Test B. Parametric Test 1. Mann-Whitney U-test a. Paired t-test 2. Friedman test b. One-way ANOVA 3. Kruskall-Wallis test c. Independent groups t-test 4. Wilcoxon signed-ranks test d.

  • Non-parametric test, parametric alternative, counterparts

    We use Wilcoxon Mann Whitney Test to analyze if square footage in three-bedroom homes is equal to that of four-bedroom homes by assigning ranks to the houses in the sample.

  • Analysis of Variance - ANOVA Problem

    , such tests come under Non-parametric test (involving sign test, rank-sum test, Kruskal test, Mann-Whitney U-test and Test for randomness,etc.,) 4) There are tests used for hypothesis testing of correlation coefficient r and regression coefficients

  • Research methods, t-test, ANOVA, Chi-square

    Would the Kruskal-Wallis be an appropriate statistical procedure to test this RQ? Please explain your answer. b. When would you use the Chi-Square test rather than the Mann- Whitney U Test? 6.

  • Test to use when comparing observed frequency to population

    Chi-square goodness of fit Wilcoxon Rank-Sum test Mann Whitney U Z-test Answer: Chi-square goodness of fit The expert determines the test to use when comparing observed frequency to population frequency.

  • Statistics Discussion Questions

    The Mann-Whitney U test is similar to a t-test in that you would use it to compare the means of two samples. Unlike the t-test (or the z-test), the populations don't have to be normal.

  • Case Study for Moe's Computer Store

    problem: Uses of the Mann-Whitney U Test for Business The Mann-Whitney U test is a nonparametric test of the equality of medians of two populations.

View More Related Solutions