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- Hypothesis Testing - Statistics How To
Hypothesis testing in statistics is a way for you to test the results of a survey or experiment to see if you have meaningful results You’re basically testing whether your results are valid by figuring out the odds that your results have happened by chance
- P-Value in Statistical Hypothesis Tests: What is it?
Definition of a p-value How to use a p-value in a hypothesis test Find the value on a TI 83 calculator Hundreds of how-tos for stats
- Rejection Region Definition Statistics How To
The rejection region in a hypothesis test depends on the alpha (significance) level, the alternate hypothesis, and the type of test The top two graphs show one-tailed rejection regions (either left or right tailed)
- Statistical Power: What it is, How to Calculate it
What is statistical power? Statistical power, also called sensitivity, indicates the probability that a study can distinguish an actual effect from a chance occurrence It represents the probability that a test correctly rejects the null hypothesis (i e , it represents the probability of avoiding a Type I error)
- ANOVA Test: Definition, Types, Examples, SPSS - Statistics How To
An ANOVA test is a way to find out if survey or experiment results are significant In other words, they help you to figure out if you need to reject the null hypothesis or accept the alternate hypothesis Basically, you’re testing groups to see if there’s a difference between them Examples of when you might want to test different groups:
- Z Test: Definition Two Proportion Z-Test - Statistics How To
A Two Proportion Z-Test (or Z-interval) allows you to calculate the true difference in proportions of two independent groups to a given confidence interval There are a few familiar conditions that need to be met for the Two Proportion Z-Interval to be valid
- Degrees of Freedom: Definition, Examples - Statistics How To
What are degrees of freedom in statistical tests? Simple explanation, use in hypothesis tests Relationship to sample size Videos, more!
- Directional Test (Directional Hypothesis) - Statistics How To
A directional hypothesis states not only that a null hypothesis is false, but also that the actual value of the parameter we’re interested in is either greater than or less than the value given in the null hypothesis
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