# Parametric And Nonparametric Test Pdf

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- What is the difference between a parametric and a nonparametric test?
- Parametric and Non-parametric tests for comparing two or more groups
- Parametric and Non-parametric tests for comparing two or more groups

## What is the difference between a parametric and a nonparametric test?

In terms of selecting a statistical test, the most important question is "what is the main study hypothesis? For example, in a prevalence study there is no hypothesis to test, and the size of the study is determined by how accurately the investigator wants to determine the prevalence. If there is no hypothesis, then there is no statistical test. It is important to decide a priori which hypotheses are confirmatory that is, are testing some presupposed relationship , and which are exploratory are suggested by the data. No single study can support a whole series of hypotheses.

Ben Derrick Ben. Derrick uwe. Paul White Paul. White uwe. Deirdre Toher Deirdre. Toher uwe. Samples that include both independent and paired observations cause a dilemma for researchers that covers the full breadth of empirical research.

Need a hand? All the help you want just a few clicks away. Therefore, several conditions of validity must be met so that the result of a parametric test is reliable. They can thus be applied even if parametric conditions of validity are not met. Parametric tests often have nonparametric equivalents. You will find different parametric tests with their equivalents when they exist in this grid.

## Parametric and Non-parametric tests for comparing two or more groups

Topics: Hypothesis Testing , Statistics. That sounds like a nice and straightforward way to choose, but there are additional considerations. Nonparametric tests are like a parallel universe to parametric tests. The table shows related pairs of hypothesis tests that Minitab Statistical Software offers. Reason 1: Parametric tests can perform well with skewed and nonnormal distributions. This may be a surprise but parametric tests can perform well with continuous data that are nonnormal if you satisfy the sample size guidelines in the table below.

## Parametric and Non-parametric tests for comparing two or more groups

Let us begin this article with the obvious—in the process of data analysis, always look at the data first. By that we mean investigators look first at the numerical and graphical summaries of the data. Checking out the data first provides an overview of the overall project, gives a clearer understanding of the variables and their values, and shows how the values are distributed. How the data is distributed data distribution is characterized by its center , its spread , and the shape of the data.

Before you order, simply sign up for a free user account and in seconds you'll be experiencing the best in CFA exam preparation. Quantitative Methods 2 Reading Hypothesis Testing Subject Parametric and Non-Parametric Tests. Seeing is believing!

Before you order, simply sign up for a free user account and in seconds you'll be experiencing the best in CFA exam preparation. Quantitative Methods 2 Reading Hypothesis Testing Subject Parametric and Non-Parametric Tests.

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3 comments

It is often used when the assumptions of the T-test For the exact test, the test statistic, T, is the smaller of the two sums of ranks.

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