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What is it: Hypothesis testing of the Population Mean with Type 1 and Type 2 errors generally involves four steps:

  1. Formulating a hypothesis about the population
  2. Collecting a sample of observations from the population
  3. Calculating statistics based on the sample
  4. Either accepting or rejecting the hypothesis based on a predetermined acceptance criterion

There are two type of errors associated with the mean testing:

Type 1 error (alpha error) - The probability that a hypothesis that is actually true will be rejected. The value of alpha is known as the significance level of the test.

Type 2 error (beta error) - The probability that a hypothesis that is actually false will be accepted. Type 2 errors are often plotted in an operating characteristics curve.


  Name
Format
Preview (Click to enlarge)
  Hypothesis Testing with Sample Stats - Population Mean Template
Microsoft Excel Format
Microsoft Excel
Format
Hypothesis Testing with Sample Stats - Population Mean Template
  Hypothesis Testing with Sample Stats - Population Mean Completed Example
Microsoft Excel Format
Microsoft Excel
Format
Hypothesis Testing with Sample Stats - Population Mean Completed Example
  Hypothesis Testing with Sample Data - Population Mean Template
Microsoft Excel Format
Microsoft Excel
Format
Hypothesis Testing with Sample Data - Population Mean Template
  Hypothesis Testing with Sample Data - Population Mean Completed Example
Microsoft Excel Format
Microsoft Excel
Format
Hypothesis Testing with Sample Data - Population Mean Completed Example
  Sample size Determination for Testing (Mu) Template
Microsoft Excel Format
Microsoft Excel
Format
Sample size Determination for Testing (Mu) Template
  Sample size Determination for Testing Completed Example
Microsoft Excel Format
Microsoft Excel
Format
Sample size Determination for Testing Completed Example
  Beta vs Alpha Testing (Type I and Type II Error probabilities) Template
Microsoft Excel Format
Microsoft Excel
Format
TBeta vs Alpha Testing (Type I and Type II Error probabilities) Template
  Beta vs Alpha Testing (Type I and Type II Error probabilities) Completed Example
Microsoft Excel Format
Microsoft Excel
Format
Beta vs Alpha Testing (Type I and Type II Error probabilities) Completed Example
  Power Curve for a (Mu) Test Template
Microsoft Excel Format
Microsoft Excel
Format
Power Curve for a (Mu) Test Template
  Power Curve for a (Mu) Test Completed Example
Microsoft Excel Format
Microsoft Excel
Format
Power Curve for a (Mu) Test Completed Example
  Operating Characteristic Curve Test Template
Microsoft Excel Format
Microsoft Excel
Format
Operating Characteristic Curve Test Template
  Operating Characteristic Curve Test Completed Example
Microsoft Excel Format
Microsoft Excel
Format
Operating Characteristic Curve Test Completed Example
USD $19.95
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