Attention students enrolled in the Fall 2015 course: You can download full-text versions of the Workbook and Interactive Lecture Notes from the "Materials" tab of this course. You may also purchase a copy of these materials in one coursepack from DollarBill Copying.
Statistics is the science that turns data into information and information into knowledge.
This class covers applied statistical methodology from an analysis-of-data viewpoint. Topics covered include frequency distributions; measures of location; mean, median, mode; measures of dispersion; variance; graphic presentation; elementary probability; populations and samples; sampling distributions; one sample univariate inference problems, and two sample problems; categorical data; regression and correlation; and analysis of variance. Use of computers in data analysis is also explored.
Instructor: Brenda Gunderson
Course Level: Undergraduate
This course is part of the 2011-2014 MELO 3D project, supported by an LSA Instructional Technology Committee New Initiatives/New Infrastructure grant.
About the Creators
Brenda Gunderson
Brenda Gunderson is a senior lecturer at the University of Michigan Department of Statistics in the College of Literature, Science, and the Arts. She is also a member of the UM MERLOT Community of Practice Committee, the Textbook Steering Committee, and a recipient of a 2011 Provost's Teaching Innovation Prize for infusing technology for guided continous learning in a large gateway course. Her research interests include statistical education, applied statistics, biopharmaceutical applications, and multivariate analysis. more...
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Syllabus |
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Statistics Help Card |
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Full R Labs - Fall 2015 |
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Workbook 01: Title Page, TOC, Note to Students, Supplements |
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Workbook 02: Lab 1 - Describing Data with Graphs and Numbers |
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Workbook 03: Lab 2 - Probability and Random Variables |
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Workbook 04: Lab 3 - Confidence Intervals for a Population Proportion |
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Workbook 05: Lab 4 - Hypothesis Testing for a Population Proportion |
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Workbook 06: Lab 5 - Understanding Normal and Random Data |
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Workbook 07: Lab 6 - Learning about a Population Mean |
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Workbook 08: Lab 7 - Paired Data Analysis |
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Workbook 09: Lab 8 - Comparing Two Means |
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Workbook 10: Lab 9 - One-Way Analysis of Variance (ANOVA) |
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Workbook 11: Lab 10 - Exploring Linear Regression |
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Workbook 12: Lab 11 - Regression Inference |
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Workbook 13: Lab 12 - Chi-Square Tests |
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Stats 250 Youtube Channel |
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Full Interactive Lecture Notes with R - Fall 2015 |
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Interactive Lecture Notes 01: Title page, TOC, Introduction |
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Interactive Lecture Notes 02: Summarizing Data |
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Interactive Lecture Notes 03: Sampling, Surveys, and Gathering Useful Data |
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Interactive Lecture Notes 04: Probability |
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Interactive Lecture Notes 05: Random Variables |
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Interactive Lecture Notes 06: Learning about a Population Proportion |
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Interactive Lecture Notes 07: Learning about the Difference in Population Proportions |
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Interactive Lecture Notes 08: Learning about a Population Mean |
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Interactive Lecture Notes 09: Learning about a Population Mean Difference |
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Interactive Lecture Notes 10: Learning about the Difference in Population Means |
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Interactive Lecture Notes 11: Analysis of Variance |
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Interactive Lecture Notes 12: Regression Analysis |
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Interactive Lecture Notes 13: Chi-Square Analysis |
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