Quantitative Methods 99
Contents:
Relevant parts of Johnson and Bhattacharyya (1996) that you should read are:
- Main Types of Data (pp. 21-22)
- Describing Data by Tables and Graphs (pp. 22-34)
Pareto diagrams (pp. 24-25), dot diagrams (pp. 27-28) are optional. - Measures of Center (pp. 41-45)
- Measures of Variation (pp. 51-57)
You should probably also be read the discussion on Boxplots (pp. 57-58)
| Top |
Relevant parts of Johnson and Bhattacharyya (1996) that you should read are:
- Probability of an Event (pp. 124-127)
- Methods of Assigning Probability (pp. 131-136)
- Event Relations and Two Laws of Probability (pp. 139-145)
- Conditional Probability and Independence (pp. 151-158)
- Random Sampling from a Finite Population (pp. 164-169)
| Top |
Relevant parts of Johnson and Bhattacharyya (1996) that you should read are:
- Random Variables (pp. 183-185)
- Probability Distribution of a Discrete Random Variable (pp. 187-192)
- Expectation and Standard Deviation of a Probability Distribution (pp. 197-203)
- Successes and Failures - Bernoulli Trials (pp. 207-210)
- The Binomial Distribution (pp. 213-220)
- Probability Model for a Continuous Random Variable (pp. 241-247)
- The Normal Distribution - Its General Features (pp. 248-251)
- The Standard Normal Distribution (pp. 251-255)
- Probability Calculations with Normal Distributions (pp. 258-261)
- The Normal Approximation to the Binomial (pp. 263-267)
- The Sampling Distribution of a Statistic (pp. 284-290)
- Distribution of the Sample Mean and the Central Limit Theorem (pp. 291-299)
- The Student's t Distribution (pp. 365-368)
- The Chi-Square Distribution (pp. 384-385)
| Top |
Relevant parts of Johnson and Bhattacharyya (1996) that you should read are:
- Point Estimation of a Population Mean (pp. 311-314)
The discussion on Determining the Sample Size (pp. 314-315) is optional. - Confidence Interval for a Population Mean (pp. 317-324)
- Testing Hypotheses about a Population Mean (pp. 327-338)
- Inference about a Population Proportion (pp. 342-347)
The discussion on Determining the Sample Size (pp. 345-346) is optional. - Inferences about mu - Small Sample Size (pp. 370-374)
- Relationship between Tests and Confidence Intervals (pp. 380-382)
- Independent Random Samples from Two Populations (pp. 403-417)
The related discussion on Matched Pair Comparisons (pp. 428-433), though optional, is recommended. - Comparing Two Population Proportions (pp. 440-444)
| Top |
Relevant parts of Johnson and Bhattacharyya (1996) that you should read are:
- Scatter Diagram of Bivariate Measurement Data (pp. 96-99)
- The Correlation Coefficient - A Measure of Linear Relation (pp. 99-104)
- Prediction of One Variable from Another (pp. 108-111)
- Regression with a Single Predictor (pp. 463-465)
- A Straight-Line Regression Model (pp. 466-467)
- The Method of Least Squares (pp. 468-473)
- Important Inference Problems (pp. 477-486)
Pay particular attention to inferences on the slope parameter and prediction of a single response - The Strength of a Linear Relation (pp. 491-494)
Optional but recommended - Remarks about the Straight-Line Model Assumptions (p. 495)
Optional but recommended
| Top |
Johnson and Bhattacharyya (1996) does not have anything on this topic.
| Top |
Procedure given on page 44 of Johnson and Bhattacharyya (1996)
Assignment No. 2