In this video, I discuss the basic concept of a traditional hypothesis test. I do not get into the specifics of computing test statistics or p-values, but I do show some examples of how to compare p-values with significance level.
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T-Test | TI-Tips
Properties of Correlation | Two-Variable Data
Calculating Correlation | Excel Tips
Residuals | TI-Tips
1-Variable Statistics | TI-Tips
Reading a z-Score Table | z-Scores and Normal Distributions
Stratified Random Sampling | Sampling
1-PropZTest | TI-Tips
Simple Random Sampling | Sampling
Random Sampling Web Resource | Sampling
tcdf | TI-Tips
One Sample z Test for Population Proportion Part 2 | Hypothesis Testing
One Sample z Test for Population Proportion Part 1 | Hypothesis Testing
One Sample t Test for Population Mean Part 2 | Hypothesis Testing
One Sample t Test for Population Mean Part 1 | Hypothesis Testing
Type I vs Type II Error | Hypothesis Testing
What is a Hypothesis Test | Hypothesis Testing
Random Numbers | Excel Tips
One Sample z-Interval for p | TI-Tips
invT | TI-Tips
invNorm | TI-Tips
Reading a t-Distribution Table | Confidence Intervals
One Sample t and z Interval for Population Mean | TI-Tips
Why a t-Distribution? | Confidence Interval's