Samples of Course Syllabi

  This book contains much more material than can be covered in the typical one-semester introductory statistics course. Sample syllabi are provided on the following pages as an aid to instructors in planning their individual courses. The "class hour" referred to in these outlines consists of approximately one hour. In addition to the sample syllabi that follow, there are many other configurations that successfully satisfy individual needs and preferences.

  When selecting the sections to be included, consider assigning some sections as out-of-class independent work. For example, after students understand the basic concepts of confidence intervals and hypothesis testing, consider assigning exercises from Chapter 8 (Inferences From Two Samples) to be done using a computer software package or a TI-83 Plus calculator. This is an excellent way to include important and useful concepts while encouraging students to extend their basic knowledge to different circumstances.

  In planning a new course syllabus for the Eighth Edition of Elementary Statistics, users of the Seventh Edition should consider these major changes:

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Syllabus Version A: SUGGESTED COURSE SYLLABUS

Class Hour Text Section Topic
1 1-1, 1-2, 1-3 Overview; Nature of Data; Uses and Abuses of Statistics
2 1-4 Design of Experiments
3 2-1, 2-2, 2-3 Summarizing Data and Pictures of Data
4 2-4 Measures of Center
5 2-5 Measures of Variation
6 2-5 Measures of Variation
7 2-6 Measures of Position
8 2-7 Exploratory Data Analysis
9 Ch. 1, 2 Review
10 Ch. 1, 2 Test 1
11 3-1, 3-2, 3-3 Fundamentals of Probability and Addition Rule
12 3-4 Multiplication Rule: Basics
13 4-1, 4-2 Random Variables
14 4-3 Binomial Probability Distributions
15 4-4 Mean, Variance, and Standard Deviation for the Binomial Distribution
16 Ch. 3, 4 Review
17 Ch. 3, 4 Test 2
18 5-1, 5-2 The Standard Normal Distribution
19 5-3 Nonstandard Normal Distributions: Finding Probabilities
20 5-4 Nonstandard Normal Distributions: Finding Values
21 5-5 The Central Limit Theorem
22 6-1, 6-2 Estimates and Sample Sizes of Means: Large Samples
23 6-3 Estimates and Sample Sizes of Means: Small Samples
24 6-4 Determining Sample Size
25 6-5 Estimates and Sample Sizes of Proportions
26 Ch. 5, 6 Review
27 Ch. 5, 6 Test 3
28 7-1, 7-2 Fundamentals of Hypothesis Testing
29 7-2, 7-3 Claims about a Mean: Large Samples
30 7-3 Claims about a Mean: Large Samples
31 7-4 Claims about a Mean: Small Sam
32 7-5 Claims about a Proportion
33 7-6 Claims about a Variance or Standard Deviation
34 Ch. 7 Review
35 Ch. 7 Test 4
36 9-1, 9-2 Correlation
37 9-2, 9-3 Correlation and Regression
38 9-3 Regression
39 10-3 Contingency Tables
40 12-1, 12-2 Control Charts for Variation and Mean
41 12-3 Control Charts for Attributes
42 Ch. 9, 10, 12 Review
43 Ch. 9, 10, 12 Test 5
44 Review for Comprehensive Final Exam
45 Review for Comprehensive Final Exam

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Syllabus Version B: EARLY COVERAGE OF CORRELATION AND REGRESSION

Class Hour Text Section Topic
1 1-1, 1-2, 1-3 Overview; Nature of Data; Uses and Abuses of Statistics
2 1-4 Design of Experiments
3 2-1, 2-2, 2-3 Summarizing Data and Pictures of Data
4 2-4 Measures of Center
5 2-5 Measures of Variation
6 2-6 Measures of Position
7 2-7 Exploratory Data Analysis
8 9-1, 9-2 Correlation
9 9-3 Regression
10 Ch. 1, 2, 9 Review
11 Ch. 1, 2, 9 Test 1
12 3-1, 3-2, 3-3 Fundamentals of Probability and Addition Rule
13 3-4 Multiplication Rule: Basics
14 4-1, 4-2 Random Variables
15 4-3 Binomial Probability Distributions
16 4-4 Mean, Variance, and Standard Deviation for the Binomial Distribution
17 5-1, 5-2 The Standard Normal Distribution
18 5-3 Nonstandard Normal Distributions: Finding Probabilities
19 5-4 Nonstandard Normal Distributions: Finding Values
20 5-5 The Central Limit Theorem
21 Ch. 3, 4, 5 Review
22 Ch. 3, 4, 5 Test 2
23 6-1, 6-2 Estimates and Sample Sizes of Means: Large Samples
24 6-3 Estimates and Sample Sizes of Means: Small Samples
25 6-4 Determining Sample Size
26 6-5 Estimates and Sample Sizes of Proportions
27 7-1, 7-2 Fundamentals of Hypothesis Testing
28 7-2, 7-3 Claims about a Mean: Large Samples
29 7-3 Claims about a Mean: Large Samples
30 7-4 Claims about a Mean: Small Samples
31 7-5 Claims about a Proportion
32 7-6 Claims about a Variance or Standard Deviation
33 Ch. 6, 7 Review
34 Ch. 6, 7 Test 3
35 10-1, 10-2 Multinomial Experiments
36 10-3 Contingency Tables
37 12-1, 12-2 Control Charts for Variation and Mean
38 12-3 Control Charts for Attributes
39 Ch. 10, 12 Review
40 Ch. 10, 12 Test 4
41 Review for Comprehensive Final Exam
42 Review for Comprehensive Final Exam

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Syllabus Version C: MINIMUM COVERAGE OF PROBABILITY

Class Hour Text Section Topic
1 1-1, 1-2, 1-3 Overview; Nature of Data; Uses and Abuses of Statistics
2 1-4 Design of Experiments
3 2-1, 2-2, 2-3 Summarizing Data and Pictures of Data
4 2-4 Measures of Center
5 2-5 Measures of Variation
6 2-6 Measures of Position
7 2-7 Exploratory Data Analysis
8 Ch. 1, 2 Review
9 Ch. 1, 2 Test 1
10 3-1, 3-2 Fundamentals of Probability
11 4-1, 4-2 Random Variables
12 4-3 Binomial Probability Distributions
13 4-4 Mean, Variance, and Standard Deviation for the Binomial Distribution
14 Ch. 3, 4 Review
15 Ch. 3, 4 Test 2
16 5-1, 5-2 The Standard Normal Distribution
17 5-3 Nonstandard Normal Distributions: Finding Probabilities 5-4 Nonstandard Normal Distributions: Finding Values
18 5-5 The Central Limit Theorem
19 6-1, 6-2 Estimates and Sample Sizes of Means: Large Samples
20 6-3 Estimates and Sample Sizes of Means: Small Samples
21 6-4 Determining Sample Size
22 6-5 Estimates and Sample Sizes of Proportions
23 Ch. 5, 6 Review
24 Ch. 5, 6 Test 3
25 7-1, 7-2 Fundamentals of Hypothesis Testing
26 7-3 Claims about a Mean: Large Samples
27 7-3 Claims about a Mean: Large Samples
28 7-4 Claims about a Mean: Small Samples
29 7-5 Claims about a Proportion
30 7-6 Claims about a Variance or Standard Deviation
31 Ch. 7 Review
32 Ch. 7 Test 4
33 9-1, 9-2 Correlation
34 9-2, 9-3 Correlation and Regression
35 9-3 Regression
36 10-1, 10-2 Multinomial Experiments
37 10-3 Contingency Tables
38 12-1, 12-2 Control Charts for Variation and Mean
39 12-3 Control Charts for Attributes
40 Ch. 9, 10, 12 Review
41 Ch. 9, 10, 12 Test 5
42 Review for Comprehensive Final Exam
43 Review for Comprehensive Final Exam

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Syllabus Version D: INTEGRATION OF SOME NONPARAMETRIC STATISTICS

Class Hour Text Section Topic
1 1-1, 1-2, 1-3 Overview; Nature of Data; Uses and Abuses of Statistics
2 1-4 Design of Experiments; Runs Test for Randomness
3 2-1, 2-2, 2-3 Summarizing Data and Pictures of Data
4 2-4 Measures of Center
5 2-5 Measures of Variation
6 2-6 Measures of Position
7 2-7 Exploratory Data Analysis
8 Ch. 1, 2 Review
9 Ch. 1, 2 Test 1
10 3-1, 3-2, 3-3 Fundamentals of Probability and Addition Rule
11 3-4 Multiplication Rule: Basics
12 4-1, 4-2 Random Variables
13 4-3 Binomial Probability Distributions
14 4-4 Mean, Variance, and Standard Deviation for the Binomial Distribution
15 Ch. 3, 4 Review
16 Ch. 3, 4 Test 2
17 5-1, 5-2 The Standard Normal Distribution
18 5-3 Nonstandard Normal Distributions: Finding Probabilities
19 5-4 Nonstandard Normal Distributions: Finding Values
20 5-5 The Central Limit Theorem
21 6-1, 6-2 Estimates and Sample Sizes of Means: Large Samples
22 6-3 Estimates and Sample Sizes of Means: Small Samples
23 6-4 Determining Sample Size
24 6-5 Estimates and Sample Sizes of Proportions
25 Ch. 5, 6 Review
26 Ch. 5, 6 Test 3
27 7-1, 7-2 Fundamentals of Hypothesis Testing
28 7-2, 7-3 Claims about a Mean: Large Samples
29 7-4 Claims about a Mean: Small Samples
30 7-5 Claims about a Proportion
31 7-6 Claims about a Variance or Standard Deviation
32 Ch. 7 Review
33 Ch. 7 Test 4
34 9-1, 9-2 Correlation and Regression
35 9-3 Regression
36 13-6 Rank Correlation
37 13-5 Kruskal-Wallis Test
38 10-3 Contingency Tables
39 12-1, 12-2 Control Charts for Variation and Mean
40 12-3 Control Charts for Attributes
41 Ch. 9, 10, 12, 13 Review
42 Ch. 9, 10, 12, 13 Test 5
43 Review for Comprehensive Final Exam
44 Review for Comprehensive Final Exam

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Syllabus Version E: TWO SEMESTER COURSE

A two-semester sequence allows for more time to better incorporate computer usage, cooperative group activities, simulation techniques in probability, and bootstrap resampling techniques in estimating parameters and testing hypotheses.

 

First Semester:

Chapter 1 (Sections 1-1 through 1-4): 4 classes
Chapter 2 (Sections 2-1 through 2-7): 7 classes
Chapter 3 (Sections 3-1 through 3-7): 6 classes
Chapter 4 (Sections 4-1 through 4-5): 5 classes
Chapter 5 (Sections 5-1 through 5-7): 7 classes
Chapter 6 (Sections 6-1 through 6-6): 7 classes
Chapter 7 (Sections 7-1 through 7-6): 8 classes

 

Second Semester:

Chapter 8 (Sections 8-1 through 8-6): 8 classes
Chapter 9 (Sections 9-1 through 9-6): 9 classes
Chapter 10 (Sections 10-1 through 10-3): 4 classes
Chapter 11 (Sections 11-1 through 11-3): 6 classes
Chapter 12 (Sections 12-1 through 12-3): 4 classes
Chapter 13 (Sections 13-1 through 13-7): 9 classes
Chapter 14 (Section 14-1): 4 classes

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© 2000 by Addison Wesley Longman
A division of Pearson Education