The continuous distributions page of the Data Analysis displays the theoretical representation of 3 distributions:
Normal distribution:
💡Definition: Normal distribution
The parameters are
- Average: Sample average
- Sigma: Sample standard deviation
- Lower limit: Minimum tolerance value
- Lower limit: Maximum tolerance value
- < Lower limit: Probability of obtaining a value lower than the minimum tolerance
- Upper limit: Probability of obtaining a value greater than the maximum tolerance.
Distribution of student:
💡Definition: Student's distribution
The parameters are
- Average: Sample average
- Sigma: Sample standard deviation
- DDl: Number of degrees of freedom of the distribution
- Lower limit: Minimum tolerance value
- Lower limit: Maximum tolerance value
- < Lower limit: Probability of obtaining a value lower than the minimum tolerance
- Upper limit: Probability of obtaining a value greater than the maximum tolerance.
Chi2 distribution:
💡Definition: χ² distribution
The parameters are
- DDl: Number of degrees of freedom of the distribution
- Lower limit: Minimum tolerance value
- Lower limit: Maximum tolerance value
- Lower limit: Probability of obtaining a value below the minimum tolerance.
- Upper limit: Probability of obtaining a value greater than the maximum tolerance.