MATH 3339 - Statistics for the Sciences
***This is a course guideline. Students should contact instructor for the updated information on current course syllabus, textbooks, and course content***
Prerequisites: Math 1432
Course Description: Graphical and descriptive methods in statistics, probability, random variables and distributions, sampling, estimation, hypothesis testing, regression, analysis of variance, exploratory and diagnostic methods, statistical computing.
Textbook: Probability and Statistics for Engineering and the Sciences, 8th Edition, by Jay Devore, Brooks/Cole 2012.
Alternate Textbook: Available in electronic form (PDF) through CASA for all enrolled students via an Access Code.
Note: Additional important information is contained at your instructor’s personal webpage. You are responsible for knowing all of this information.
Instructors have the option of making changes to the outline below if they believe it is appropriate.
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Chapter 1 – 1 week |
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1.1 Populations, Samples and Processes |
Read |
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1.2 Pictorial and Tabular Methods |
10, 13(b), 25, 29 |
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1.3 Measures of Location |
34(a,b), 36, 43 |
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1.4 Measures of Variability |
44, 48, 53, 56 |
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Chapter 2 – 1 week |
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2.1 Sample Spaces and Events |
2, 3, 4, 8 |
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2.2 Properties of Probability |
12, 15, 18, 21 |
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2.3 Counting Rules |
29, 31, 37, 40 |
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2.4 Conditional Probability |
45, 50, 51, 61 |
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2.5 Independent Events |
71, 74, 76, 80, 84 |
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Chapter 3 – 2 weeks |
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3.1 Random Variables |
1, 6, 10 |
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3.2 Discrete Distributions |
12, 16, 17, 21 |
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3.3 Expected Values |
29, 32,33, 36 |
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Supplement: Independent Variables |
TBA |
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3.4 Binomial Distributions |
46, 47, 48, 52, 57, 65 |
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3.5 Hypergeometric Distributions |
69, 72, 74 |
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3.6 Poisson Distributions |
79, 83, 84, 85, 91 |
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Chapter 4 – 2 weeks |
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4.1 Probability Density Functions |
2, 4, 10 |
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4.2 CDFs and Expected Values |
11, 13, 17, 22, 25 |
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4.3 Normal Distributions |
28, 29, 30, 31, 32, 35, 43, 46, 50, 53 |
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4.4 Exponential & Gamma Distributions |
59, 60, 65, 67 |
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4.6 Probability Plots |
87, 89, 94, 95 |
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Chapter 5 – 1 week |
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5.1 Jointly Distributed Variables |
1, 3, 9, 17 |
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5.2 Covariance and Correlation |
25, 26 |
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5.3 Statistics and Their Distributions |
37, 39, 43 |
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5.4 Distribution of the Sample Mean |
47, 48, 54, 56 |
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5.5 Linear Combinations |
58, 59, 60, 70 |
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Chapter 6 – ½ week |
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6.1 Sample Mean, Proportion, Variance, Standard Error |
2, 4, 11, 12 |
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Chapter 7 – 1 week |
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7.1 Basic Properties of Confidence Intervals |
1, 3, 4, 5 |
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7.2 Large Sample Intervals for Mean and Proportion |
12, 14, 16, 19, 21, 23 |
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7.3 Small Sample Intervals for the Mean of a Normal Population |
28, 29, 30, 33, 34 |
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7.4 Confidence Intervals for the Variance of a Normal Population |
42, 43, 44, 46 |
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Chapter 8 – 1 week |
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8.1 Hypotheses and Tests |
1, 5, 9 |
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8.2 Tests for a Population Mean |
15, 16, 21, 27,33(a) |
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8.3 Tests for a Population Proportion |
38(a,b), 39, 41 |
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8.4 P-values |
48, 49, 50, 54, 59 |
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Chapter 9 – 1 ½ weeks |
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9.1 Large Sample Tests and Intervals for Differences of Population Means |
3, 4, 7, 8 |
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9.2 Two-sample t Tests and Intervals |
18, 23, 24, 31, 34 |
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9.3 Paired Data |
36, 37(a), 46 |
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9.4 Differences Between Population Proportions |
49, 51, 54, 57 |
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9.5 Inferences About Population Variances |
59, 60, 62 |
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Chapter 10 – 1 week |
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10.1 Single Factor ANOVA |
1, 6, 9 |
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10.2 Multiple Comparisons in ANOVA |
11, 14, 18 |
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Chapter 12 – 2 weeks |
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12.1 The Simple Linear Regression Model |
1, 2, 3, 7, 8, 9 |
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12.2 Estimating Model Parameters |
12, 13, 14, 16, 19, 22, 26 |
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12.3 Inferences About the Slope |
31, 36, 38 |
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12.4 Prediction |
44, 46, 48, 54 |
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12.5 Correlation |
58, 61, 64 |
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