 | Statistics - P Value Project for my High School AP Statistics class. |
 | Error Type (Type I & II) When drawing an inference (from a sample statistic, about a population parameter), we cannot avoid errors. We inevitably must commit either a Type I or Type II error |
 | Level of Significance in Hypothesis Testing This video describes the use of level of significance in determining when to reject the null hypothesis |
 | Understanding the p-value A down-to-earth and light-hearted illustration of the use of the p-value in statistics. |
 | Hypothesis Testing, Part 1 of 2 Produced by Kent Murdick Instructor of Mathematics Universtiy of South Alabama |
 | Hypothesis Testing 9.1 This video describes the differences between one tailed and two tailed hypothesis tests. |
 | Regression #1: Sample regression function (SRF) The population is unobserved. We draw samples and make inferences based on the samples. Each sample has a sample regression function (SRF). |
 | Statistics is easy: Confidence Interval Amir H. Ghaseminejad shows the meaning of Confidence Interval with a simple example |
 | Student's t distribution The small sample is a 10-day series of Google's daily periodic returns. The question is, with 95% confidence, what is the true (population) average return? This is the essence of statistics, based on sample statistics (sample mean, sample variance) we are trying to infer population parameters (population mean). |
 | Basic statistics Six basic statistical calculations, presented in a Microsoft Powerpoint with accompanying narration. |
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