# Anova And Nonparametric Tests Essay

763 words - 3 pages

IntroductionWe learned more about ANOVA and Nonparametric tests after completing the simulation in week four. ANOVA assumes that each population being studied has a normal distribution, that errors are random and independent of each other, and that all the populations have the same variance. It is not always possible to make these assumptions and a nonparametric test, such as the Kruskal-Wallis can be used for analysis. Offering a summary of the simulation I am going to state what three lessons I learned relative to the ANOVA and Nonparametric tests, what analytic tools I will be able to use in my workplace, and what recommendations I would make to the decision maker about the situation in the simulation.Lessons LearnedBeing hired on as the Quality Assurance Manager for Praxidike Systems, it is my job to make sure delivery is on time and that the clients are satisfied. First I had to decide which type of test to use. In order to be able to use ANOVA you have to make three major assumptions:1.Errors are random and independent of each other.2.Each population has normal distribution.3.All populations have the same variance.In order to check whether or not the population has a normal distribution, you need to use the chi-square test for goodness of fit. The hypotheses in this case are:1.H0 The population has a normal distribution.2.HA The population does not have a normal distribution.The outcome was that the test statistic lies outside the acceptance area and you should reject the null hypothesis. As a result, you cannot presume that the population has a normal distribution; you should use the nonparametric Kruskal-Wallis test.The second objective I learned was that you cannot always use the blocking technique. Blocking allows you to see a treatment effect with a smaller sample. It is difficult to set up blocks and it is necessary to determine if creating the block was worth the effort. When setting up a block, you need to match the variable with two or more factors. This may not always be an option. To find out if the block is optimal, you can calculate the relative efficiency. In the case of this simulation, the block design works the best.Finally, I...

## Find Another Essay On ANOVA and Nonparametric Tests

### Nonparametric Hypothesis Testing Essay

1561 words - 6 pages higher than employees in the same positions in other industries.This week, Team B will conduct further research to provide more testing on the null hypothesis by conducting a nonparametric hypothesis test. If a null hypothesis is not rejected in one hypothesis test, performing additional tests may provide further support and command more respect for the tested theory. Although, no matter how many tests are performed on a certain hypothesis, it

### Psychiatric Rating Scales Essay

1387 words - 6 pages providing commentary on observed distribution. Another review performed by Bandelow, et al (1998) retrieved 118 articles in a search for analyses on panic disorder patients with Likert scales (HAM-A, FQ, SCL-90-R, CGI, ASI). Close to all of the authors performed both parametric and nonparametric methods but only a total of 16.7% of the studies used nonparametric statistical tests. When inappropriate statistical analysis is used, the risk of

### Nonparametric Hypothesis Testing Paper week 4

1235 words - 5 pages nonparametric tests for comparing two populations. The null hypothesis will test the two populations to see if they have identical means against the alternative hypothesis that the means function differently. The Wilcoxon Mann-Whitney Test will be used in place of a two-sample t-test. The Wilcoxon Mann-Whitney Test is one of the best-known nonparametric significance tests and 搮 is virtually identical to performing an ordinary parametric two-sample

### ANOVA Testing

1342 words - 5 pages interactions using factorial ANOVA. The advantage of using ANOVA rather than multiple t tests is that it reduces the probability of a Type I error. Making multiple comparisons increases the likelihood of finding something by chance and making a Type I error.From the example of Dominion Building Products sales ordering processing data, the results show that the ANOVA test is a basic statistical method for examining the mean difference between two

### Wages for the Ages – Nonparametric Hypothesis Testing

866 words - 3 pages Parametric CounterpartIn the assignment for week three Team A failed to reject the null hypothesis: Wage earners ages 18-40 earn the same pay as wage earners ages 41-65. The significance level of .05, the z-statistic and a two-tailed test was used to determine the truth of the hypothesis. For week four the team is to use the same information to conduct an equivalent, nonparametric test of hypothesis. Nonparametric tests makes less rigid demands of

### Exploring Inferential Statistics and Their Discontents

2697 words - 11 pages significance of the predictors for comparison of contending GLM models with dissimilar linear predictors (Zheng & Agresti, 2000). GLM is the underpinning for the t-test, ANOVA, ANCOVA, regression analysis and various multivariate methods. Compare and contrast parametric and nonparametric statistics. Why and in what types of cases would you use one over the other? Parametric test make assumptions concerning estimates from population parameters with a

### Street Dancing Meeting Places and Events

2190 words - 9 pages participants, this method allows exploring more independent samples. Multiple nonparametric tests are non-parametric equivalent of parametric tests based on analysis of variance, or way classification. (1) 4.5.1 Kruskal-Wallis non-parametric ANOVA Kruskal-Wallis non-parametrical ANOVA or Kruskal-Wallis test is using for data which are independent of one another, the deviation may not be the same and the data must be collected randomly. (1) Kruskal

### statistical methods

1043 words - 5 pages the result will be a distribution of difference scores. The null hypothesis would be that the population means are equal; the alternate hypothesis would be that they are not equal. The t-test may be limited in the number of samples one could easily analyze, but ANOVA is much better and reduces cumulative errors which would occur if the t-test was used to analyze more than two samples. The one-way ANOVA tests the variances between and within the

### ANOVA paper

1219 words - 5 pages is as follows: "There is no difference in the price of groceries at Publix, Winn-Dixie, and Wal-Mart grocery stores."ANOVA TestThe ANOVA hypothesis testing procedure is used to compare three or more population means simultaneously. It is also used to test whether two sample variances are equal. Team B will be testing three population means. To be able to use the ANOVA test the data must be distributed normally and the information must be of the

### Statistical Methods and Probability

1245 words - 5 pages the production units of two manufacturing operations to determine if they are representative of a population with the same mean. The t-test may be limited in the number of samples one could easily analyze, but ANOVA is much better and reduces cumulative errors which would occur if multiple t-tests were used to analyze more than two samples. The one-way ANOVA tests the variances between and within the samples; the F ratio is used to determine

### Statistics essay on ANOVA

1311 words - 5 pages Running head: ANOVA Running head: ANOVA Abstract The Army has hired Research Team Bravo to run tests to compare the graduation rate of its flight school graduates to the graduates background. ANOVA In the Army, pilots go through flight school to become pilots of the Army's large number of helicopters and fixed wing aircraft. All the students are either college graduates, from the civilian world

## Similar Essays

### Applying Anova And Nonparametric Tests Essay

653 words - 3 pages Using analysis of variance (ANOVA) in the quality management process will help a company identify where the challenges and opportunities lie in the process and help to guide those in the decision-making role on the necessary improvements to be implemented to create the desired change. The Praxidike Systems corporation has identified opportunities with on-time delivery and customer satisfaction. Applying ANOVA as well as other nonparametric tests

### Applying Anova And Nonparametric Tests Simulation Paper

567 words - 2 pages The specification of this week three assignment, facilitated by Professor xxxxx xxxxx, for the University of Phoenix- xxxxx Campus was to complete the simulation "Applying ANOVA and Nonparametric Tests". ANOVA is one of the richest and most thoroughly explored fields of statistics (Doane & Seward, 2007). This paper will be a brief summary which discusses three lessons I learned concerning ANOVA and Nonparametric tests. It will also briefly

### Applying Anova And Nonparametric Tests Simulation

719 words - 3 pages Applying ANOVA and Nonparametric Tests SimulationUniversity of PhoenixResearch and Evaluation IIRES 342ContentsSubjectPageIntroduction………………………………………………………………………3Lessons Learned……….………...………&hellip

### Nonparametric Analysis Of Interactions

1969 words - 8 pages nonparametric test for interaction in factorial experiments,” Journal of the American Statistical Association, 68 (343), 615–620. 23. Sawilowsky, S., 1985, “A comparison of random normal scores tests under the F and chi-square distributions to the 2x2x2 ANOVA test,” Florida Journal Educational Research, 27(1), 83–97. 24. Gao, X., and Alvo, M., 2005, “A nonparametric test for interaction in two-way layout,” The Canadian Journal of Statistics, 33(4), 529