# Content Tagged “Fail to Reject the Null Hypothesis”

One possible conclusion to a statistical hypothesis test. We use this phrase since, using our process, we cannot prove the null hypothesis. In this case the data from our sample would not be rare if the null hypothesis were true and thus we cannot reject the null hypothesis.

## Errors and Power

Published: Mar 17th, 2014

Presentation with Transcript Video – Part 1 (7:23) Slides 1-11: Type I and Type II Error Video – Part 2 (3:14) Slides 12-13: More about Errors Video – Part 3 […]

## Steps in Hypothesis Testing

Published: Mar 17th, 2014

Presentation with Transcript Part 1 (2:26) Slides 1-4: Introduction to Steps and Motivating Examples Part 2 (9:21) Slides 5-12: Steps for Motivating Examples Part 3 (4:16) Slides 13-18: Final Comments […]

## Errors and Power

Published: Mar 8th, 2013

Type I and Type II Errors in Hypothesis Tests Reasons for a Type I Error in Practice Reasons for a Type II Error in Practice Power of a Hypothesis Test […]

## Steps in Hypothesis Testing

Published: Mar 8th, 2013

Hypothesis Testing Step 1: State the Hypotheses Hypothesis Testing Step 2: Collect Dtaa, Check Conditions, and Summarize Data Hypothesis Testing Step 3: Assess the Evidence Hypothesis Testing Step 4: Making […]

## Little Handbook – Is Statistics Hard?

Published: Jul 30th, 2012

Required Reading: From the online version of Little Handbook of Statistical Practice, this reading contains excellent comments about common reasons why many feel that “statistics is hard.”