1. Introduction
This chapter begins by discussing what statistics are and why the study of statistics
is important. Subsequent sections cover a variety of topics all basic to the study of
statistics. The only theme common to all of these sections is that
3. Summarizing Distributions
A. Central Tendency
1. What is Central Tendency
2. Measures of Central Tendency
3. Median and Mean
4. Additional Measures
5. Comparing measures
B. Variability
1. Measures of Variability
C. Shape
1. Effects of Transformations
2
7. Normal Distributions
A. Introduction
B. History
C. Areas of Normal Distributions
D. Standard Normal
E. Exercises
Most of the statistical analyses presented in this book are based on the bell-shaped
or normal distribution. The introductory section denes
10.2
Functions - Algebra of Functions
Several functions can work together in one larger function. There are 5 common
operations that can be performed on functions. The four basic operations on functions are adding, subtracting, multiplying, and dividing.
10.5
Functions - Exponential Functions
As our study of algebra gets more advanced we begin to study more involved
functions. One pair of inverse functions we will look at are exponential functions
and logarithmic functions. Here we will look at exponentia
10.3
Functions - Inverse Functions
Objective: Identify and find inverse functions.
When a value goes into a function it is called the input. The result that we get
when we evaluate the function is called the output. When working with functions
sometimes w
20. Case Studies
The case studies give examples of practical applications of statistical analyses.
Many of the case studies contain the actual raw data. Some contain discussions of
how the the data were analyzed.
All links below are external links.
1. Ang
5. Probability
A. Introduction
B. Basic Concepts
C. Permutations and Combinations
D. Poisson Distribution
E. Multinomial Distribution
F. Hypergeometric Distribution
G. Base Rates
H. Exercises
Probability is an important and complex eld of study. Fortunate
6. Research Design
A. Scientic Method
B. Measurement
C. Basics of Data Collection
D. Sampling Bias
E. Experimental Designs
F. Causation
G. Exercises
215
Scientic Method
by David M. Lane
Prerequisites
none
This section contains a brief discussion of the m
4. Describing Bivariate Data
A. Introduction to Bivariate Data
B. Values of the Pearson Correlation
C. Properties of Pearson's r
D. Computing Pearson's r
E. Variance Sum Law II
F. Exercises
A dataset with two variables contains what is called bivariate da