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Statistics 250 - Introduction to Statistics and Data Analysis

Statistics 250: Introduction to Statistics and Data Analysis (Fall 2011, Open.Michigan). Instructor: Brenda Gunderson. 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. (from open.umich.edu)

Image: Introduction to Statistics and Data Analysis


Lecture 01 - Turning Data into Information
Lecture 02 - Sampling and Gathering Data
Lecture 03 - Probability
Lecture 04 - Discrete Random Variables
Lecture 05 - Continuous Random Variables
Lecture 06 - Normal Distribution, Introduction to Sampling Distributions
Lecture 07 - Confidence Interval for p
Lecture 08 - CI for p and HT for p
Lecture 09 - CI and HT for Difference in Two Proportions
Lecture 10 - HT for p, Errors, and Power
Lecture 11 - Sampling Distribution of Sample Mean
Lecture 12 - CI for a Population Mean
Lecture 13 - Exam 1 Review
Lecture 14 - HT for a Population Mean
Lecture 15 - More HT for a Population Mean
Lecture 16 - CI and HT for a Population Mean Difference
Lecture 17 - Difference in Two Means
Lecture 18 - CI for Difference in Two Means (Indep Samples)
Lecture 19 - HT for Difference in Two Means (Indep) and NTS Worksheet
Lecture 20 - Introduction to ANOVA (Analysis of Variance)
Lecture 21 - More ANOVA
Lecture 22 - Regression and Exam 2 Review
Lecture 23 - More Regression and More Exam 2 Review
Lecture 24 - Exam 2 Review
Lecture 25 - Inference for Regression
Lecture 26 - More Regression and Full Example
Lecture 27 - Chi Square Test of GOF and Homogeneity
Lecture 28 - Chi Square Test of Independence
Lecture 29 - Final Exam Review

References
Statistics 250 - Introduction to Statistics and Data Analysis
Instructor: Brenda Gunderson. Course Materials. This class covers applied statistical methodology from an analysis-of-data viewpoint.