ST370 - Probability and Statistics for Engineers
Here are shared course resources for ST370
ST370 Lecture Slides
Lecture 1 - Populations, Samples, and Processes
Lecture 2 - Descriptive Statistics
Lecture 3 - Probability
Lecture 4 - Discrete Random Variables - random variables, discrete rv, expected value
Lecture 5 - Discrete Random Variables - binomial probability, poisson
Lecture 6 - Continuous Random Variables - pdf, cdf, expected value, normal distribution
Lecture 7 - Continuous Random Variables - normal distribution and other continuous distributions, normal probability plots (Q-Q plots)
Lecture 8 - Probability Distributions - statistics and their distributions
Lecture 9 - Probability Distributions - distribution of the sample mean
EXAM 1 (Exam 1 Practice) (KEY)
Lecture 10 - Point Estimation, Confidence Intervals for Means
Lecture 11 - Confidence Intervals for Proportions, t-Intervals
Lecture 12 - Hypothesis Tests - 4 steps and z-test when sigma known
Lecture 13 - Hypothesis Tests - Error (Alpha and Beta), one-sample t-test
Lecture 14 - Hypothesis Tests - one-sample t-test and one-sample proportion
Lecture 15 - Two-Sample t-test and Matched Pairs - two-sample z-test, two-sample t-test
Lecture 16 - Two-Sample t-test and Matched Pairs - two sample CI and t-test with software demos
Lecture 17 - Matched Pairs and 2-sample proportion CI and HT
EXAM 2 (Exam 2 Practice) (KEY)
Lecture 18 - One-Way ANOVA - introduction, basic requirements, analysis of ANOVA table
Lecture 19 - One-Way ANOVA - One-Way ANOVA review, Bonferroni corrections
Lecture 20 - Two-Way ANOVA - review of one-way, basic introduction to two-way
Lecture 21 - Linear Regression and Correlation - introduction, line of best-fit
Lecture 22 - Linear Regression and Correlation - hypothesis test for correlation and regression, CIs and PIs
Lecture 23 - Multiple Regression
FINAL EXAM (Final Exam Practice) (KEY)