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STA 2023
Honors
Introduction to Statistics I
Fall 2008 Suggested Homework
Problems ·
The
following is a list of suggested homework problems from the textbook: Statistics,
the Art and Science of Learning from Data, by Agresti/Franklin,
2nd edition Pearson, 2009.
The problems appear at the end of each section. ·
These
problems will not be collected, but should be a good tool for learning the
material, and good practice for exams. ·
The answers
to odd-numbered problems appear in the back of the book. The answers to ALL
problems appear in the Instructor's
Solutions Manual that is on reserve at Marsden
Science Library. They also have a
copy of it at the Tutoring Room for the big STA 2023 class –Griffin Floyd
104, open about 40 hours per week. ·
You can
also use Minitab to solve some of the homework problems assigned from the
book. The data sets for most homework problems are included in
the data disk that comes with the textbook. |
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Sections
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Suggested Exercises
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Chapter 1 |
1.1 How Can You Investigate Using Data? |
1.1 1.2 |
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1.2
We Learn about Populations Using Samples |
1.8 1.9
1.10 1.11 1.12
1.15 1.16 |
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End of Chapter Exercises |
1.24 1.25
1.30 1.31 |
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Chapter 2 |
2.1 What are the Types of Data? |
2.1 2.2
2.3 2.4 2.5 2.6
2.7 |
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2.2 How
Can We Describe Data Using Graphical Summaries? |
2.10a-c 2.14
2.15 2.16 2.19
2.21 2.23 2.24
2.25 |
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2.3 How
Can We Describe the Center of Quantitative Data? |
2.30 2.32
2.33 2.35 2.36
2.37 2.39 2.40
2.41 2.42 |
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2.4 How
Can We Describe the Spread of Quantitative Data? |
2.47 2.48
2.50 2.51 2.52
2.53 2.55 2.56 |
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2.5 How
Can Measures of Position Describe Spread? |
2.63 2.64
2.65 2.67 2.69
2.73 2.74 2.75
2.76 2.83 |
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End of Chapter Exercises |
2.118 2.124 |
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Chapter 3 |
3.1 How
Can We Explore the Association between Two Categorical Variables? |
3.1 3.2
3.3 3.5 3.9 |
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3.2 How
Can We Explore the Association between Two Quantitative Variables? |
3.11 3.12
3.13 3.14 3.15
3.16 3.21 |
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3.3
How Can We Predict the Outcome of a Variable? |
3.25 3.26
3.27 3.29 3.31
3.33 3.34 3.37
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3.4
What Are Some Cautions in Analyzing Associations? |
3.44 3.45
3.47 3.53 3.54
3.55 3.58 |
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End of Chapter
Exercises |
3.102 3.103
3.104 3.105 3.106
3.107 |
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Chapter 4 |
4.1
Should We Experiment or Should We Merely Observe? |
4.2 4.3
4.4 4.7 4.8
4.9 |
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4.2
What Are Good Ways and |
4.20 4.21
4.22 4.23 4.24
4.25 4.26 4.31
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4.3
What are |
4.33 4.34
4.37 4.41 4.43 |
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4.4
What are Other Ways to Perform Experimental and Observational Studies? |
4.48 4.53
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End of Chapter
Exercises |
4.58 4.95
4.98 4.102 |
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Chapter 5 |
5.1
How Can Probability Quantify Randomness? |
5.1 5.2
5.4 5.7 |
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5.2 How Can We Find Probabilities? |
5.13
5.17 5.18 5.19
5.21 5.23 5.26 |
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5.3
Conditional Probability: What’s the Probability of A, Given B? |
5.28 5.29
5.30 5.31 5.32
5.39 |
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5.4 Applying the Probability Rules |
5.55 5.57
5.58 |
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Chapter 6 |
6.1
How Can We Summarize possible Outcomes and Their Probabilities? |
6.3 6.4
6.5 6.7 6.12
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6.2
How Can We Find Probabilities for |
6.14 6.15
6.16 6.17 6.19
6.23 6.24 6.26
6.27 6.29 |
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6.3
How Can We Find Probabilities When Each Observation Has Two Possible
Outcomes? |
6.35 6.39
6.41 6.43 |
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Chapter 7 |
7.1
How Likely are the Possible Values of a Statistic? The Sampling Distribution |
7.4 7.5
7.10 7.11 7.12 |
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7.2
How Close Are Sample Means to Population Means |
7.14 7.16
7.17 7.18 7.20
7.21 |
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7.3
How Can We Make Inferences About a Population? |
7.31 |
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End
of Chapter Exercises |
7.45 7.57
7.58 |
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Chapter 8 |
8.1
What are Point and Interval Estimates of Population Parameters? |
8.2 8.4
8.5 8.6 8.7 |
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8.2
How Can We Construct a Confidence Interval to Estimate a Population
Proportion? |
8.11 8.12
8.13 8.14 8.15
8.17 8.18 8.21
8.22 8.23 |
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8.3
How Can We Construct a Confidence Interval to Estimate a Population Mean? |
8.27 8.28
8.29 8.30 8.31
8.32 8.36 8.38
8.39 |
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8.4
How Do We Choose the Sample Size for Study? |
8.46 8.47
8.48 8.49 8.51
8.52 8.53 8.54
8.56 |
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End of Chapter Exercises |
8.78 8.115 8.116
8.117 |
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Chapter 9 |
9.1
What are the Steps for Performing a Significance Test? |
9.1 9.2
9.3 9.4 9.8 |
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9.2 Significance tests About Proportions |
9.9 9.11
9.12 9.15 9.17
9.19 9.20 9.21
9.23 |
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9.3 Significance Tests
About Means |
9.28 9.29
9.33 9.34 9.36
9.37 9.39 9.41 Answers to 9.28 a) p-value between 0.02
and 0.05 b) p-value is between
0.025 and 0.01 c) p-value is between
0.975 and 0.99 Typo in 9.29 Ha: μ ≠ 0 should be Ha:
μ ≠ 100 Answer to 9.29 p-value is between 0.025 and 0.05 Answer to 9.33 p-value > 0.20 Answer to 9.36 p-value between 0.01 and 0.05 Answer to 9.39 p-value less than 0.002 |
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9.4
Decisions and Types of Errors in Significance Tests |
9.42 9.43
9.44 9.45 9.46
9.49 9.51 |
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9.5 Limitations of Significance Tests |
9.52 9.53
9.55 |
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End of Chapter
Exercises |
9.112 9.113 |
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Chapter 10 |
10.1
Categorical Response: How Can We Compare Two Proportions? |
10.1 10.2
10.3 10.4 10.6
10.7 10.9 |
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10.2
Quantitative Responses: How Can We Compare Two Means? |
10.14 10.16
10.17 10.18 10.20
10.21 10.23 10.25
Answer to 10.21 p-value>0.2 Typo in 10.23 Standard error is 0.239 not 2.8 |
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10.3
Other Ways of Comparing Means and Comparing Proportions |
10.40 10.42
10.43 |
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10.4
How Can We Analyze Dependent Samples? |
10.47 10.48
10.49 10.50 10.51
10.57 10.58 10.60abd 10.61 Answer to 10.51a p-value is between 0.1 and 0.2 |
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End of Chapter Exercises |
10.63 10.64 abcd |