Practice 1

Defining and Collecting Data

Practice 2

Numerical Descriptive Measures

Practice 3

Basic Probability

Practice 4

Discrete Probability Distributions

Practice 5

The Normal Distribution and Other Continuous Distributions

Practice 6

Sampling Distributions

Practice 7

Confidence Interval Estimation

Practice 8

Fundamentals of Hypothesis Testing: One-Sample Tests

Practice 9

Two-Sample Tests

Practice 10

Analysis of Variance

Practice 11

Chi-Square Tests and Nonparametric Tests

Practice 12

Simple Linear Regression

Practice 13

Introduction to Multiple Regression

Practice 14

Multiple Regression Model Building

Practice 15

Time-Series Forecasting

Practice 16

A Roadmap for Analyzing Data

Practice 17

Statistical Applications in Quality Management

Practice 18

Decision Making

Practice 19

Index Numbers

Practice 20

Chi-Square Tests for the Variance or Standard Deviation

Practice 21

Mcnemar Test for the Difference Between Two Proportions Related Samples

Practice 22

The Analysis of Proportions Anop

Practice 23

The Analysis of Means Anom

Practice 24

The Randomized Block Design

Practice 25

The Power of a Test

Practice 26

Estimation and Sample Size Determination for Finite Populations

Practice 27

Application of Confidence Interval Estimation in Auditing

Practice 28

Sampling From Finite Populations

Practice 29

The Normal Approximation to the Binomial Distribution

Practice 30

Counting Rules

Practice 31

Lets Get Started Big Things to Learn First