CHAPTER |
SECTION |
TOPIC |
Pages |
PROBLEMS |
1. Getting Started |
1.1 |
What is statistics? |
10-11 |
1-9 |
1.2 |
Random Samples |
17-18 |
1-11 |
2. Organizing Data |
2.1 |
Frequency Distributions, Histograms and
Related Topics |
43-47 |
1-10 |
2.2 |
Bar Graphs, Circle Graphs, and Time Series
Graphs |
54-56 |
1-10 |
2.3 |
Stem-and-Leaf Displays |
61-64 |
1-10 |
3. Averages and Variation |
3.1 |
Measures of Central Tendency |
80-82 |
1-10 |
3.2 |
Measures of Variation |
93-98 |
1-12 |
3.3 |
Percentiles and Box-and-Whisker Plots |
106-108 |
1-10 |
4. Regression and Correlation |
4.1 |
Scatter Diagrams and Linear Correlation |
131-134 |
1-12 |
4.2 |
Linear Regression and the Coefficient of
Determination |
146-149 |
1-8 |
5. Elementary Probability |
5.1 |
What is Probability? |
167-169 |
1-11 |
5.2 |
Some Probability Rules: Compound Events |
182-185 |
1-15 |
6. The Binomial Probability
Distribution |
6.1 |
Introduction to Random Variables and
Probability Distributions |
213-216 |
1-10 |
6.2 |
Binomial Probabilities |
225-228 |
1-12 |
6.3 |
Additional Properties of the Binomial
Distribution |
234-236 |
1-10 |
7. Normal Curves and Sampling
Distributions |
7.1 |
Graphs of Normal Probability Distribution |
253-255 |
1-11 |
7.2 |
Standard Units and Areas Under the Standard
Normal Distribution |
266-268 |
1-48 |
7.3 |
Areas Under any Normal Curve |
277-279 |
1-26 |
7.4 |
Sampling Distributions |
285 |
1-9 |
7.5 |
The Central Limit Theorem |
293-294 |
1-8 |
7.6 |
Normal Approximation to the Binomial
Distribution |
301-303 |
1-8 |
8. Estimation |
8.1 |
Estimating μ when σ is Known |
324-327 |
1-10 |
8.2 |
Estimating μ when σ is Unknown |
334-339 |
1-14 |
8.3 |
Estimating p in the Binomial Distribution |
347-350 |
1-16 |
9. Hypothesis Testing |
9.1 |
Introduction to Stastistical Testing |
372-375 |
1-12 |
9.2 |
Testing the Mean μ |
388-391 |
1-16 |
9.3 |
Testing a Proportion p |
400-403 |
1-20 |