Read | Do | ||
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Fri, Jan 19 | 1 | Jerome Cardan Counting |
Exercises - Counting Textbook Exercises
Sec 4.7 Counting (11th Ed) p. 189 : 1, 2, 3, 4, 8, 11, 12, 13, 15, 17, 20, 25, 26, 31, 33, 36, 38 Sec 4.6 Counting (12th Ed) p. 180 : 1-5, 7, 9, 11, 13, 19, 21, 22, 25, 26, 27, 29, 31, 32, 33, 35, 38 Sec 4.4 Counting (13th Ed) p. 174: 1-4, 5, 7, 9, 11, 23, 27-36, 38 Install R and R Studio Use R for the 1st Time |
Mon, Jan 22 | 2 |
Probability R Functions Related to Counting & Probability Excel Functions Related to Counting & Probability |
Exercises - Probability Textbook Exercises
Sec 4.2 Basic Concepts of Probability (11th Ed) p. 148 : 14, 22, 33, 34, 35 Sec 4.3 Addition Rule (11th Ed) p. 156 : 13, 17-20, 27-32, 33-38, 39, 41, 43 Sec 4.2 Basic Concepts of Probability (12th Ed) p. 145 : 5, 28, 37 - 41 Sec 4.3 Addition Rule (12th Ed) p. 153 : 1-3, 17-20, 27-38, 39, 41, 43 Sec 4.1 Basic Concepts of Probability (13th Ed) p. 143 : 5, 27, 31, 33-36 Sec 4.2 Addition Rule and Mult. Rule (13th Ed) p. 155: 1, 2, 3, 9-19 (odd), 21-24, 25, 27, 29-34 |
Wed, Jan 24 | 3 | ...continue probability | Exercises - Counting and Probability |
Fri, Jan 26 | 4 | Bayes Theorem Handout (by Triola) Functions in R Vectors in R Logical Values in R Excel Functions Related to Conditionals and Table Lookup |
Exercises - Baye's Theorem Exercises - Counting and Probability Review Textbook Exercises
Sec 4.4 Multiplication Rule (11th Ed) p. 168 : 13-22, 24, 27, 31, 33 Sec 4.5 Conditional Probability (11th Ed) p. 175 : 9, 11, 13, 17, 29 Review Ch 4 p. 178: 31; p. 195: 1-10 Sec 4.4 Multiplication Rule (12th Ed) p. 165 : 13 - 31 (odd) Sec 4.5 Complements & Cond. Probability (12th Ed) p. 172 : 9, 11, 13, 16, 19, 20, 21, 23, 25, 27 Sec 4.3 Complements, Cond. Probability, and Baye's Theorem (13th Ed) p. 166 : 7-15 (odd), 17-20, 23, 25 Project 1, Part I: Simulations with R and Excel |
Mon, Jan 29 | 5 |
Characters and Strings in R R Functions Related to Simulation |
Project 1, Part II : Simulations with R and Excel (Unusual Dice and Cancer) |
Wed, Jan 31 | 6 | Discrete Probability Distributions Expected Value, Variance, and Standard Deviation of a Discrete PDF R and Discrete Probability Distributions Excel Functions Relevant to Probability Distributions |
Textbook Exercises
Sec 5.2 Random Variables (11th Ed) p. 214 : 1, 5, 6, 7, 9, 11, 15, 17,19, 23, 24, 27, 33 Sec 5.2 Probability Distributions (12th Ed) p. 206 : 1, 5, 6, 7, 9, 11, 13, 17, 19, 20, 21, 23, 25 Sec 5.1 (13th Ed) p. 195 : 1, 5, 6, 7, 9, 11, 13, 15-19, 27, 29 |
Fri, Feb 2 | 7 | Binomial Distribution Expected Value of a Binomial Distribution R and Binomial Distributions Excel and Binomial Distributions |
Textbook Exercises
Sec 5.3 Binomial Probability Distributions (11th Ed) p. 218 : 1, 2, 21-24, 33, 35 Sec 5.4 Mean, Variance and Standard Deviation for Binomial Distributions (11th Ed) p. 232 : 5-8, 9, 11, 16, 18, 19 Sec 5.3 Binomial Probability Distributions (12th Ed) p. 217 : 1, 2, 3, 21, 23, 25, 27, 37, 38, 39 Sec 5.4 Parameters for Binomial Distributions (12th Ed) p. 226 : 5-11, 13, 15 Sec 5.2 (13th Ed) p. 208 : 1-3, 21-37 (odd), 40 |
Mon, Feb 5 | 8 | Poisson Distribution Poisson as Limit of a Binomial Distribution Hypergeometric Distribution Multinomial Distribution R and Poisson Distributions R and Hypergeometric Distributions Excel and the Poisson & Hypergeometric Distributions |
Exercises - Discrete PDFs Textbook Exercises
Sec 5.5 The Poisson Distribution (11th Ed) p. 238 :
4, 5-8, 11,14; p. 241: 3, 7 Sec 5.5 Poisson Probability Distributions (12th Ed) p. 232 : 1, 2, 5-15 (odd) Sec 5.3 (13th Ed) : p. 1,2,5-15 (odd) |
Wed, Feb 7 | 9 | Review | Exercises - Probability Distributions |
Fri, Feb 9 | 10 | Test 1 | |
Mon, Feb 12 | 11 | Variables and Scales of Measurement Sampling Methods Experimental Design Famous Statistical Blunders in History Publication Bias (What doctors don't know...) Uses and Abuses of Statistics |
Textbook Exercises
Sec 1.3 Types of Data (11th Ed) p. 16: 21 - 31 Sec 1.4 Critical Thinking (11th Ed) p. 24: 9 - 20 Sec 1.5 Collecting Sample Data (11th Ed) p. 34: 1, 2, 9 - 20 Review Ch 1 (11th Ed) p. 38: 1, 3, 4, 6 Sec 1.3 Types of Data (12th Ed) p. 22 : 21-28 Sec 1.2 Statistical and Critical Thinking (12th Ed) p. 12 : 5-12, 25-28 Sec 1.4 Collecting Sample Data (12th Ed) p. 32 : 1, 2, 9-20 Review Ch 1 (12th Ed) p. 36 : 1, 4, 8, 9 Sec 1.2 (13th Ed) p. 24 : 21-28 Sec 1.1 (13th Ed) p. 9 : 5-12,25-28 Sec 1.3 (13th Ed) p. 32 : 5-7,9-20 |
Wed, Feb 14 | 12 | Frequency Distributions and Histograms | Exercises - Frequency Distributions and Histograms |
Fri, Feb 16 | 13 | Shape, Center, and Spread of a Distribution Proof of Chebyshev's Theorem Descriptive Statistics in R and Excel |
Exercises - Measures of Center and Spread Exercises - Descriptive Statistics Textbook Exercises
Sec 3.2 Measures of Center (11th Ed) p. 94 : 11, 15, 23 Sec 3.3 Measures of Variation (11th Ed) p. 110: 11, 15, 23, 33, 35 Sec 3.2 Measures of Center (12th Ed) p. 90 : 1, 12, 23 Sec 3.3 Measures of Variation (12th Ed) p. 108 : 12, 15, 23, 41, 43 Sec 3.1 (13th Ed) p. 91 : 4, 10, 13, 23 Sec 3.2 (13th Ed) p. 107 : 13, 17, 41, 43 Project 2, Part I: Visualizing Data in R and Excel (Due Feb 26) |
Mon, Feb 19 | 14 | Making Plots in R R and Uniform Distributions |
Project 2, Part II: Visualizing Data in R and Excel (Anthrax & Sample Means) (Due Mar 7) |
Wed, Feb 21 | 15 | The Normal Distribution R and Normal Distributions Excel Functions Related to Normal Distributions |
Exercises - The Normal Distributon Textbook Exercises
Sec 6.2 The Standard Normal Distribution (11th Ed) p. 261: 3, 9-16 all; 17-36 odd Sec 6.3 Applications of Normal Distributions (11th Ed) p. 272: 5 - 12 all; 13, 15, 17, 19, 21, 25, 29, 31, 37 Sec 6.2 The Standard Normal Distribution (12th Ed) p. 256 : 3, 9-16 all, 17-36 odd Sec 6.3 Applications of Normal Distributions (12th Ed) p. 267: 5-12 all, 13, 15, 17, 19, 21, 25, 27, 29, 35 Sec 6.1 (13th Ed) p. 240 : 3, 9-16 all; 17-36 odd Sec 6.2 (13th Ed) p. 250 : 5-12 all, 13, 15, 17, 18, 21, 23, 29, 31, 35, 36 |
Fri, Feb 23 | 16 | Distributions of Sample Means and the Central Limit Theorem | Exercises - The Centeral Limit Theorem Textbook Exercises
Sec 6.4 Read (11th Ed) pp. 276-277 Sec 6.5 The Central Limit Theorem (11th Ed) p. 295: 1, 5, 7, 13, 19 Sec 6.4 Read (12th Ed) pp. 273-276 Sec 6.5 The Central Limit Theorem (12th Ed) p. 292: 1, 5, 7, 15, 21 Sec 6.3 (13th Ed) p. 257 : Read: Sampling Distribution of the Mean Sec 6.4 (13th Ed) p. 292: 1, 3, 5, 7, 13, 19 |
Mon, Feb 26 | 17 | Approximating a Binomial Distribution with a Normal Curve | Exercises - Normal Approximations to Binomial Distributions Textbook Exercises
Sec 6.6 Normal as Approximation to Binomial (11th Ed) p. 305 : 1, 3, 13, 15, 19, 25, 29 Sec 6.7 Normal as Approximation to Binomial (12th Ed) p. 311 : 5, 7, 15, 17, 19, 21 Sec 6.6 (13th Ed) p. 289 : 5, 7, 13, 15, 17, 19 |
Wed, Feb 28 | 18 | Review | Textbook Exercises
Review Ch 6 (11th Ed) p. 320: 7, 9, 11 Review Ch 6 (12th Ed) p. 315: 1, 3, 4, 7 Review Ch 6 (13th Ed) p. 292: 1, 3, 4, 7 |
Fri, Mar 2 | 19 | Test 2 | |
Mon, Mar 5 | 20 | Confidence Intervals for Proportions Confidence Intervals for Proportions in R and Excel |
Exercises - Conf. Intervals for Proportions Textbook Exercises
Sec 7.2 Estimating a Population Proportion (11th Ed) p. 339: 1-4, 5, 7, 9, 15, 17, 21, 23, 25, 27, 29, 33, 35, 37, 41, 43 Sec 7.2 Estimating a Population Proportion (12th Ed) p. 337: 1-4, 5, 7, 9, 13, 15, 17, 19, 21, 25, 27, 29, 33, 35, 37 |
Wed, Mar 7 | 21 | Installing Packages in R |
Project 3 (Due Mar 21) |
Fri, Mar 9 | 22 | Hypothesis Testing: Basic Principles | Textbook Exercises
Sec 8.3 Testing a Claim About a Proportion (11th Ed) p. 421 : Read problems 9-20 odd and identify the claim; work problems 9 and 15 Sec 8.2 Basics of Hypothesis Testing (11th Ed) p. 409 : 1-4, 5, 7, 9-16 odd, 17-23 odd, 25, 27, 29, 31; for 37 and 39 give the inference Sec 8.3 Testing a Claim About a Proportion (12th Ed) p. 407: read problems 9-21 odd and identify the claim Sec 8.2 Basics of Hypothesis Testing (12th Ed) p. 396: 1-4, 9-33 odd |
Mar 12-16 | SPRING BREAK | ||
Mon, Mar 19 | 23 | Hypothesis Tests for Proportions (One Sample) Hypothesis Testing - A Quick Review Conducting One Proportion Tests in R |
Exercises - Hyp. Tests for Proportions (One Sample) Textbook Exercises
Sec 8.3 Testing a Claim About a Proportion (11th Ed) p. 420 : 2, 4a, 5, 7, 9-20 odd Sec 8.3 Testing a Claim About a Proportion (12th Ed) p. 407: 1-4, 5, 7, 9-21 odd |
Wed, Mar 21 | 24 | Hypothesis Tests for Proportions (Two Samples) | Exercises - Hyp. Tests for Proportions (Two Samples) Textbook Exercises
Sec 9.2 Inferences About Two Proportions (11th Ed) p. 469 : 7, 9, 13, 14, 17, 21, 22, 27, 28 Sec 9.2 Two Proportions (12th Ed) p. 449: 7, 9, 13, 14, 17, 18 Project 4 (Due Apr 6) |
Fri, Mar 23 | 25 | Chi-Squared Tests R and Chi-Squared Distributions |
Exercises - Chi-Squared Tests Textbook Exercises
Sec 11.2 Goodness-of-fit (11th Ed) p. 594 : 3, 5, 7, 11, 19, 21 Sec 11.3 Contingency Tables (11th Ed) p. 606 : 1 (Salk Vaccine), 5, 13, 17, 19, 21 Sec 11.2 Goodness-of-fit (12th Ed) p. 573: 1-4, 5, 7, 11, 19, 21 Sec 11.3 Contingency Tables (12th Ed) p. 586: 1-4, 5, 9, 13, 17, 19 |
Mon, Mar 26 | 26 | t-Distributions Confidence Intervals and Hypothesis Tests for Means |
Exercises - Conf. Intervals & Hyp. Tests for Means Textbook Exercises
Sec 7.3 Estimating a Population Mean ($\sigma$ known) (11th Ed) p. 352 : 9, 11, 13, 15, 21, 23, 25, 27 Sec 7.4 Estimating a Population Mean ($\sigma$ unknown) (11th Ed) p. 365 : 5 - 12 odd, 17, 19, 21, 23, 27 Sec 7.3 Estimating a Population Mean (12th Ed) p. 355: 9, 11, 13, 15, 21, 25, 27, 29, 31 |
Wed, Mar 28 | 27 | R and t-Distributions | Textbook Exercises
Sec 8.4 Testing a Claim About a Mean ($\sigma$ known) (11th Ed) p. 430 : 1, 3, 7, 9, 11 Sec 8.5 Testing a Claim About a Mean ($\sigma$ unknown) (11th Ed) p. 439 : 1, 5 - 8, 17, 19, 21, 23, 25, 27 (use the traditional method for all hypothesis testing) Sec 8.4 Testing a Claim About a Mean (12th Ed) p. 419: 1-4, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25 |
Fri, Mar 30 | 28 | Review | Exercises - Conf. Intervals & Hyp. Testing (One Sample, Means and Proportions) |
Mon, Apr 2 | 29 | Test 3 | |
Wed, Apr 4 | 30 | Hypothesis Tests for Comparing Means R and Tests for Comparing Means |
Exercises - Comparing Means Exercises - Hypothesis Testing (Two Samples) Textbook Exercises
Sec 9.3 Inferences About Two Means (Independent Samples) (11th Ed) p. 482 : 1, 2, 37, 39 (use the critical value method) Sec 9.4 Inferences About Two Means (Dependent Samples) (11th Ed) p. 494 : 17, 19 Sec 9.3 Two Means (Independent Samples) (12th Ed) p. 463: 2, 3 Sec 9.4 Two Dependent Samples (Matched Pairs) (12th Ed) p. 474: 11, 17 |
Fri, Apr 6 | 31 | ...continue comparing means | Textbook Exercises
Sec 9.5 Comparing Variation in Two Samples (11th Ed) p. 502 : 1, 7, 9 Review Ch 9 (11th Ed) p. 508 : 2, 3, 5, 8, 10 Sec 9.5 Two Variances or Standard Deviations (12th Ed) p. 482: 1, 5, 7 Sec 9.3 Two Means (Independent Samples) (12th Ed) p. 466: 25, 26 (use critical value method) Review Ch 9 (12th Ed) p. 488: 5, 6, 10 Project 5 - (Due Apr 16) |
Mon, Apr 9 | 32 | ANOVA and Scheffe Tests R and ANOVA |
Exercises - One way Analysis of Variance (ANOVA) Textbook Exercises
Sec 12.2 One-Way ANOVA (11th Ed) p. 641 : 11, 13, 15 Sec 12.2 One-Way ANOVA (12th Ed) p. 612: 11, 12, 13, 15 |
Wed, Apr 11 | 33 | ...continue ANOVA | |
Fri, Apr 13 | 34 | Parametric vs. Non-parametric Tests Kruskal-Wallis, Wilcoxon Tests R and Non-Parametric Tests |
Exercises - Kruskal-Wallis, Wilcoxon Tests Textbook Exercises
Sec 13.5 Kruskal-Wallis Test (11th Ed) p. 689 : 1, 7, 9, 10 Sec 13.4 Wilocoxon Ranked-Sum Test for Two Independent Samples (11th Ed) p. 684 : 5, 7 Review Ch 13 (11th Ed) p. 709 : 8 (compare to ANOVA done on p. 641: 12 - Did you get the same results?), 9 Sec 13.5 Kruskal-Wallis Tests (12th Ed) p. 665: 5, 6, 7, 8 (for 5 & 6, compare to ANOVA done on the same data - p. 612: 11,12) Sec 13.4 Wilcoxon Rank Sum p. 659: 5, 7 |
Mon, Apr 16 | 35 | Correlation and Scatterplots The Line of Best Fit Explained Variation and the Coefficient of Determination R and Correlations |
Textbook Exercises
Sec 10.3 Regression (11th Ed) p. 548 : 9, 10, then for 13, 17, 19, 23, 27, a) make a scatter plot; b) test for the significance of the regression/correlation model; c) find $r$ and the related line, graphing the line on your scater plot; and d) determine if the model found is a good preditor. Review Ch 10 (11th Ed) p. 576 : 1, 3 Sec 10.3 Regression (12th Ed) p. 528: 9, 10, then for 13, 17, 19, 21 a) make a scatter plot; b) test for the significance of the regression/correlation model; c) find $r$ and the related line, graphing the line on your scater plot; and d) determine if the model found is a good preditor. Review Ch 10 (12th Ed) p. 558: 1, 3 Exercises - Simple Linear Regression and One-way Analysis of Variance Final Project - (Due Apr 30) |
Wed, Apr 18 | 36 | Spearman's Rank Sum Correlation Test | Textbook Exercises
Sec 13.6 Rank Correlation (11th Ed) p. 697 : 9, 11, 13, 15 Sec 13.6 Rank Correlation (12th Ed) p. 673: 5, 7, 9, 11 |
Fri, Apr 20 | 37 | ||
Mon, Apr 23 | 38 | Review | |
Wed, Apr 25 | 39 | Review | Textbook Exercises
Review Ch 13 (11th Ed) p. 708 : 5 Cumulative Review after Ch 13 (11th Ed) p. 709 : 1 - 10 Cumulative Review after Ch 13 (12th Ed) p. 684: 5, 8, 9, 10 |
Fri, Apr 27 | 40 | Test 4 | |
Mon, Apr 30 | 42 | Wrap up and Review for Final Exam | Final Exam Times: MWF class @ 9:30: Wed, May 9th from 9 am - 12 noon, MWF class @ 10:45: Wed, May 2nd from 9 am - 12 noon, MWF class @ 12:00: Thur, May 3rd from 2 pm - 5 pm, MWF class @ 1:15: Thur, May 3rd from 9 am - 12 noon |