3

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

FREE
This course includes
Hours of videos

777 years, 8 months

Units & Quizzes

28

Unlimited Lifetime access
Access on mobile app
Certificate of Completion

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 Currilcum

  • 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