How To Identify Type I and Type II Errors In Statistics

This statistics video tutorial provides a basic introduction into Type I errors and Type II errors. A type I error occurs when a true null hypothesis is rejected. A type II error occurs when a false null hypothesis is not rejected. This video contains a few examples and practice problems of how to identify these errors.

Confidence Intervals & Margin of Error:
   • How To Find The Z Score, Confidence I...  

Find The Z-Score Given Confidence Interval:
   • How To Find The Z Score Given The Con...  

Student's T-Distribution:
   • Student's T Distribution - Confidence...  

Hypothesis Testing - Null & Alternative:
   • Hypothesis Testing - Null and Alterna...  

Type I and Type II Errors:
   • How To Identify Type I and Type II Er...  

One Tailed and Two Tailed Tests:
   • One Tailed and Two Tailed Tests, Crit...  

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Test Static For Means & Pop Proportions:
   • Test Statistic For Means and Populati...  

Hypothesis Testing Problems:
   • Hypothesis Testing Problems - Z Test ...  

P-Value Method - Hypothesis Testing:
   • P-Value Method For Hypothesis Testing  

Hypothesis Testing - Proportions:
   • Hypothesis Testing - Solving Problems...  

Difference of 2 Means - H Testing:
   • Hypothesis Testing - Difference of Tw...  

Cohen's D - Pooled Standard Deviation:
   • How to find Cohen's D to determine th...  

Hypothesis Testing - 2 Proportions:
   • Hypothesis Testing With Two Proportions  

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Matched or Paired Samples t-Test:
   • Matched or Paired Samples T-Test - Hy...  

Chi Square Test:
   • Chi Square Test  

Chi Square Distribution Test:
   • Chi Square Distribution Test of a Sin...  

Test of Independence - Chi Square Dist:
   • Test of Independence Using Chi-Square...  

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