This is completed downloadable of Test Bank for Introductory Statistics, 9/E 9th Edition : 0321897196

Product Details:

ISBN-10 ‏ : ‎ 0321897196
ISBN-13 ‏ : ‎ 978-0321897190
Author: Ph.D. Weiss, Neil A. (Autore), Carol A. Weiss (Collaboratore)

Weisss Introductory Statistics, Ninth Edition is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. The text is suitable for a one- or two-semester course. Comprehensive in its coverage, Weisss meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and more than 2,600 exercises, most using real data, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical literacy.

Introductory Statistics, Ninth Edition, contains parallel presentation of critical-value andp-value approaches to hypothesis testing. This unique design allows both the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two.

Table of Content:

Part I: Introduction
1. The Nature of Statistics

Part II: Descriptive Statistics
2. Organizing Data
3. Descriptive Measures

Part III: Probability, Random Variables, and Sampling Distributions
4. Probability Concepts
5. Discrete Random Variables*
6. The Normal Distribution
7. The Sampling Distribution of the Sample Mean

Part IV: Inferential Statistics
8. Confidence Intervals for One Population Mean
9. Hypothesis Tests for One Population Mean
10. Inferences for Two Population Means
11. Inferences for Population Standard Deviations*
12. Inferences for Population Proportions
13. Chi-Square Procedures

Part V: Regression, Correlation, and ANOVA
14. Descriptive Methods in Regression and Correlation
15. Inferential Methods in Regression and Correlation
16. Analysis of Variance (ANOVA)

Part VI: Multiple Regression and Model Building; Experimental Design and ANOVA (On The WeissStats CD-ROM)
Module A. Multiple Regression Analysis
Module B. Model Building in Regression
Module C. Design of Experiments and Analysis of Variance