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Contents
Contents
Data Presentation
Statistics and Data
Measurement Levels of Data
Summarizing Categorical Data
Relative Frequency Table
Bar Chart
Pie Chart
Summarizing Numerical Data
Stem-and-Leaf Plot
Relative Frequency Table and Histogram
Box-and-Whisker Plot
Dotplot
Symmetry and Skewness
Using the TI-83:
Entering Data into a List
Calculating the five-number-summary
Drawing a Boxplot or Histogram
Using Excel
Creating and saving an Excel format data file
Creating an Excel data file from a text file (separated by spaces, comma, or tab)
Retrieving a previously saved Excel data file
How to get summary statistics
How to create a histogram
Exercises
Samples and Populations
Sample Surveys
Methods of Sample Selection
Types of Surveys
Some Issues in Question Construction
Types of Survey Errors
A Questionnaire Example
Exercises
Location and Spread
Measures of Location
The Average and SD
Interpreting the SD
The empirical rule for the SD
The Variance
Other Measures of Location
Other Measures of Spread
Adding a Constant
Multiplying by a constant
Using the TI-83:
Calculating
and
S
Exercises
Binomial and Normal Distributions
Computing Probabilities Using the Normal Curve
Calculating Areas under the Normal Curve
Calculating Percentiles Using the Normal Curve
The Standard Normal or Z-Curve
Binomial Probabilities
Computing Binomial Probabilities
Expected Value and SD of a Binomial Random Variable
Computing Binomial Probabilities Using the Normal Curve
Some Approximations Are Better Than Others
Using the TI-83:
Computing Normal Curve probability between
a
and
b
Computing Normal Curve percentile
Computing Binomial PDF
Computing Binomial CDF
Using Excel
Computing binomial probabilities
Computing probabilities less than
x
(
) from the normal curve
Getting
z
critical values
Exercises
Sampling Distribution of the Proportion
The Sample Proportion
The Sampling Distribution of
is Approximately Normal
Estimating the Population Proportion
p
Exercises
Sampling Distribution of the Mean
Behavioral Properties of the Sample Average
Drawing from a Nonnormal Population
Estimating the Population Mean Using a Random Sample
Exercises
Confidence Intervals
Estimating the Population Mean Using Intervals
t-based Confidence Interval for the Mean
Determining Sample Size for Estimating the Mean
Comparing the Averages of Two Independent Samples
Comparing Averages of Two Paired Samples
Estimating the Population Proportion Using Intervals
Sample Size for Estimating the Population Proportion
Confidence Interval for the Difference Between Two Proportions
Overview of Confidence Intervals
Using the TI-83
Computing a Confidence Interval for
Computing a confidence interval for
:
Computing a Confidence Interval for
p
Computing a Confidence Interval for
p
1
-
p
2
Exercises
Testing Hypotheses
Test of Significance involving the Sample Average
Upper-tailed
t
-test
Two-tailed
t
-test
The
t
-test is not universally appropriate
Generalizing Tests of Significance
Examples
Type I and Type II Errors
Using the TI-83
Calculating a t-test for
Calculating a t-test for
Calculating a Paired t-test for
Calculating a z-test for
p
Calculating a z-test for
p
1
-
p
2
Using Excel
Comparing two means (independent samples)
Comparing two means (paired samples)
Exercises
Testing Equality of Frequencies
Testing for Independence between Two Variables Using an
Table
Calculating the Table of Expected Frequencies
The Chi-Square Test Statistic
Testing for Equality of Proportions Between 2 Samples
Using the TI-83
Entering Data into a Matrix
Calculating a Chi-Square Test for an r by c Table
Exercises
Correlation
Correlation
Computing the Pearson Correlation Coefficient
Exercises
Linear Regression
Simple Linear Regression
Calculating the Least Squares Regression Line
More on Simple Regression
The Excel Printout
Multiple Linear Regression
Optional: The Multicollinearity Problem
Using Excel
Multiple Linear Regression
Exercises
Index
2003-09-08