Practical Data Analysis with JMP® > The Normal Model > Normal Calculations - Pg. : Safari Books Online

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Practical Data Analysis with JMP®

Practical Data Analysis with JMP®

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Contents

Ch. 1. Getting Started: Introduction to JMP

Ch. 2. Understanding Data

Ch. 3. Describing a Single Variable

Ch. 4. Describing Two Variables at a Time

Ch. 5. Elementary Probability and Discrete Distributions

Ch. 6. The Normal Model

Continuous Data and Probability

Density Functions

The Normal Model

Normal Calculations

Checking Data for Suitability of Normal Model

Simulating Normal Data

Ch. 7. Sampling and Sampling Distributions

Ch. 8. Inference for a Single Categorical Variable

Ch. 9. Inference for a Single Continuous Variable

Ch. 10. Two-Sample Inference for a Continuous Variable

Ch. 11. Chi-Square Tests

Ch. 12. Analysis of Variance

Ch. 13. Simple Linear Regression

Ch. 14. Regression Conditions and Estimation

Ch. 15. Multiple Regression

Ch. 16. Categorical and Non-Linear Regression Models

Ch. 17. Basic Forecasting Techniques

Ch. 18. Elements of Experimental Design

Ch. 19. Quality Improvement

Appx. A. Data Sources

URL

Help

Normal Calculations

There are two classes of problems that we typically solve using a normal distribution:

For X values a and b, we want to solve for Pr(a ≤ X ≤ b). In these problems, we are solving for cumulative probability.
For a probability value, p, we want to solve to find x* such that Pr(X≤ x*) = p. In these problems, we are solving for inverse cumulative probability.

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