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Today our goal is to cover hypothesis testing and the basic z-test, as these are fundamental to understanding how the t-test works. We’ll return to the t-test soon — with real data.
9mon
isixsigma on MSNA Guide to Using the Wilcoxon Rank Sum Test: Testing for Non-NormalityKey Points The Wilcoxon Rank Sum Test is a non-parametric means of comparing data between two sets. It operates as a useful ...
Hypothesis testing relies exclusively on data and doesn’t provide a comprehensive understanding of the subject being studied. Additionally, the accuracy of the results depends on the quality of ...
4mon
isixsigma on MSNHow Statistical Hypothesis Testing Can Help Organizations Make Better Business DecisionsKey Points Hypothesis testing provides organizations with a structured approach to evaluate assumptions using data, reducing ...
Student’s t-tests are further broken down into two categories: ... business, and psychology. This article will explain when it is appropriate to use a paired t-test versus an unpaired t-test, as well ...
A t-test is used as a hypothesis testing tool, which allows testing of an assumption applicable to a population. Z-tests are closely related to t-tests, ...
A t-test for a population mean tests the population mean against a hypothesized value. It is appropriate when the population standard deviation is unknown and the sample size is small. This applet ...
In this module, we will learn about the chi-squared and t distributions and their relationships to sampling distributions. We will learn to identify when hypothesis tests based on these distributions ...
Standard 21.4: Understands and applies basic principles of hypothesis testing and scientific inquiry Presents alternative explanations and conclusions to one's own experiments and those of others.
Standard 21.4: Understands and applies basic principles of hypothesis testing and scientific inquiry Presents alternative explanations and conclusions to one's own experiments and those of others.
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