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Statistics 250: Introduction to Statistics and Data Analysis (Fall 2011, Open.Michigan). Instructor: Brenda Gunderson.
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English
English [CC]
FREE
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Description
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)
Course content
- Lecture 01 – Turning Data into Information Unlimited
- Lecture 02 – Sampling and Gathering Data Unlimited
- Lecture 03 – Probability Unlimited
- Lecture 04 – Discrete Random Variables Unlimited
- Lecture 05 – Continuous Random Variables Unlimited
- Lecture 06 – Normal Distribution, Introduction to Sampling Distributions Unlimited
- Lecture 07 – Confidence Interval for p Unlimited
- Lecture 08 – CI for p and HT for p Unlimited
- Lecture 09 – CI and HT for Difference in Two Proportions Unlimited
- Lecture 10 – HT for p, Errors, and Power Unlimited
- Lecture 11 – Sampling Distribution of Sample Mean Unlimited
- Lecture 12 – CI for a Population Mean Unlimited
- Lecture 13 – Exam 1 Review Unlimited
- Lecture 14 – HT for a Population Mean Unlimited
- Lecture 15 – More HT for a Population Mean Unlimited
- Lecture 16 – CI and HT for a Population Mean Difference Unlimited
- Lecture 17 – Difference in Two Means Unlimited
- Lecture 18 – CI for Difference in Two Means (Indep Samples) Unlimited
- Lecture 19 – HT for Difference in Two Means (Indep) and NTS Worksheet Unlimited
- Lecture 20 – Introduction to ANOVA (Analysis of Variance) Unlimited
- Lecture 22 – Regression and Exam 2 Review Unlimited
- Lecture 23 – More Regression and More Exam 2 Review Unlimited
- Lecture 24 – Exam 2 Review Unlimited
- Lecture 25 – Inference for Regression Unlimited
- Lecture 26 – More Regression and Full Example Unlimited
- Lecture 27 – Chi Square Test of GOF and Homogeneity Unlimited
- Lecture 28 – Chi Square Test of Independence Unlimited
- Lecture 29 – Final Exam Review Unlimited
Instructor
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