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 About Your Instructor |
Hello everyone. I am Dr. Rachid Belmasrour, Associate Professor of Mathematics. I have a remarkable education background that include bachelor’s degree in mathematics from Morocco, M.S degree in Mathematical Informatics from the University of Versailles Saint Quentin, France, and a M.S degree and a Ph.D. from the University of New Orleans (UNO) in Mathematics. Before completing the Ph.D. degree that I began lecturing on a part time teaching assistant at UNO. After I joined the Southern University at New Orleans (SUNO) I started lecturing on a full-time basis. I mentor students and involve them in research. I am a recipient of DOE grant awarded for minority serving institutions. I made this grant available for undergraduate students with excelling performance. I conducted research about Cotton Fiber length Distribution at the United States Department of Agriculture, Division of Cotton Structure and Quality. Research interests · Cotton Fiber length Distribution · Statistical computing · Statistical Consulting · Biostatistics
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Office Hours Information |
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| Learner Support |
Technical Support |
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Accessibility Policies and Services |
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Academic Support Services |
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Student Services and Resources |
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Data and Privacy |
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Netiquette and Communication Expectations |
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| Getting Started |
 Syllabus Template |
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| Module 1: Sampling and Data (Chapter 1) |
 1.1 Definitions of Statistics, Probability, and Key Terms |
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1.2 Data, Sampling, and Variation in Data and Sampling |
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1.3 Frequency, Frequency Tables, and Levels of Measurement |
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1.4 Experimental Design and Ethics |
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Chapter 1 Review |
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Chapter 1 Practice |
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Chapter 1 Homework |
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Chapter 1 Project I: Data Collection Experiment |
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Chapter 1 Project II: Sampling Experiment |
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| Module 2: Descriptive Statistics (Chapter 2) |
2.1 Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs |
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2.2 Histograms, Frequency Polygons, and Time Series Graphs |
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2.3 Measures of the Location of the Data |
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2.4 Box Plots |
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2.5 Measures of the Center of the Data |
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2.6 Skewness and the Mean, Median, and Mode |
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2.7 Measures of the Spread of the Data |
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Chapter 2 Review |
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Chapter 2 Practice |
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Chapter 2 Homework |
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Chapter 2 Project: Descriptive Statistics |
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| Module 3: Probability Topics (Chapter 3) |
3.1 Terminology |
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3.2 Independent and Mutually Exclusive Events |
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3.3 Two Basic Rules of Probability |
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3.4 Contingency Tables |
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3.5 Tree and Venn Diagrams |
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Chapter 3 Review |
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Chapter 3 Practice |
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Chapter 3 Homework |
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Chapter 3 Project: Probability Topics |
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| Exam 1 Module |
Exam 1 Information and Instructions |
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| Module 4: Discrete Random Variables (Chapter 4) |
4.1 Probability Distribution Function (PDF) for a Discrete Random Variable |
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4.2 Measures of General Discrete Random Variables |
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4.3 Binomial Distribution |
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4.4 Geometric Distribution |
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4.5 Hypergeometric Distribution |
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4.6 Poisson Distribution |
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Chapter 4 Review |
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Chapter 4 Practice |
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Chapter 4 Homework |
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Chapter 4 Project I: Discrete Distribution (Lucky Dice Experiment) |
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Chapter 4 Project II: Discrete Distribution (Playing Card Experiment) |
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| Module 5: Continuous Random Variables (Chapter 5) |
5.1 Continuous Probability Functions |
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5.2 The Uniform Distribution |
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5.3 The Exponential Distribution |
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Chapter 5 Review |
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Chapter 5 Practice |
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Chapter 5 Homework |
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Chapter 5 Project: Continuous Distribution |
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| Midterm Exam or Exam 2 Module |
Midterm Exam or Exam 2 Information and Instructions |
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| Module 6: The Normal Distribution (Chapter 6) |
6.1 The Standard Normal Distribution |
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6.2 Using the Normal Distribution |
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Chapter 6 Project I: Normal Distribution (Lap Times) |
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Chapter 6 Project II: Normal Distribution (Pinkie Length) |
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| Module 7: The Central Limit Theorem (Chapter 6) |
6.3 The Central Limit Theorem for Sample Means (Averages) |
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6.4 The Central Limit Theorem for Sums |
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6.5 The Normal Approximation to the Binomial |
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Chapter 6 Review |
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Chapter 6 Practice |
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Chapter 6 Homework |
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Chapter 6 Project III: Central Limit Theorem (Pocket Change) |
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Chapter 6 Project IV: Central Limit Theorem (Cookie Recipes) |
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| Module 8: Confidence Intervals (Chapter 7) |
7.1 A Single Population Mean using the Normal Distribution |
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7.2 A Single Population Mean using the Student t Distribution |
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7.3 A Population Proportion |
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Chapter 7 Review |
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Chapter 7 Practice |
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Chapter 7 Homework |
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Chapter 7 Project I: Confidence Interval (Home Costs) |
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Chapter 7 Project II: Confidence Interval (Place of Birth) |
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Chapter 7 Project III: Confidence Interval (Women’s Heights) |
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| Exam 2 or Exam 3 Module |
Exam 2 or Exam 3 Information and Instructions |
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| Module 9: Hypothesis Testing with One Sample (Chapter 8) |
8.1 Null and Alternative Hypotheses |
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8.2 Outcomes and the Type I and Type II Errors |
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8.3 Distribution Needed for Hypothesis Testing |
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8.4 Rare Events, the Sample, Decision and Conclusion |
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8.5 Additional Information and Full Hypothesis Test Examples |
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Chapter 8 Review |
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Chapter 8 Practice |
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Chapter 8 Homework |
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Chapter 8 Project: Hypothesis Testing of a Single Mean and Single Proportion |
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| Module 10: Hypothesis Testing with Two Samples (Chapter 9) |
9.1 Two Population Means with Unknown Standard Deviations |
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9.2 Two Population Means with Known Standard Deviations |
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9.3 Comparing Two Independent Population Proportions |
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9.4 Matched or Paired Samples |
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Chapter 9 Review |
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Chapter 9 Practice |
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Chapter 9 Homework |
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Chapter 9 Project: Hypothesis Testing for Two Means and Two Proportions |
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| Module 11: Linear Regression and Correlation (Chapter 10) |
10.1 Linear Equations |
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10.2 Scatter Plots |
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10.3 The Regression Equation |
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10.4 Testing the Significance of the Correlation Coefficient |
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10.5 Prediction |
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10.6 Outliers |
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Chapter 10 Review |
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Chapter 10 Practice |
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Chapter 10 Homework |
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Chapter 10 Project I: Regression (Distance from School) |
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Chapter 10 Project II: Regression (Textbook Cost) |
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Chapter 10 Project III: Regression (Fuel Efficiency) |
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| Module 12: The Chi-Square Distribution (Chapter 11) |
11.1 Facts About the Chi-Square Distribution |
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11.2 Goodness-of-Fit Test |
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11.3 Test of Independence |
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11.4 Test for Homogeneity |
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11.5 Comparison of the Chi-Square Tests |
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11.6 Test of a Single Variance |
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Chapter 11 Review |
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Chapter 11 Practice |
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Chapter 11 Homework |
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Chapter 11 Project I: Chi-Square Goodness-of-Fit |
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Chapter 11 Project II: Chi-Square Test of Independence |
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| Final Exam Module |
Final Exam Information and Instructions |
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