Stat 211 - Intro to Statistics for Engineers

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Course Syllabus


What is Statistics (3:36)

Homework 2 : Definitions, Plots

Notes: Definitions, Vocabulary

Statistic vs Parameter (4:04)
Categorical vs Numerical (5:04)
Graphs for Data (3:57)
Discrete vs Continuous (4:30)
Notation (2:34)

Homework 3 : Std dev, histograms, table Probs

Notes: Proabilities

Boxplot 5 number summary (5:03)
Boxplot Example (2:12)
Center of Numerical data (4:58)
Measures of Spread (6:01)
Calculating Standard deviation (3:42)
Shape (6:15)
extra Why equation for s (6:45)
Numerical Categorical (3:25)
Concept of Probability (2:54)
Basic discrete probabilities (6:45)
Conditional Table Probabilities (5:40)
Conditional Tree Diagram (8:05)
Conditional Counting method (4:02)
Conditional Equation (3:55)
Another Conditional Question (6:04)

Homework 4 : Probabilities

PDF, CDF, and Ex (4:54)
Moments for discrete data (4:44)
Continuous Probabilities (4:45)
Uniform Probability (3:34)
Continuous PDFs (5:09)
Continuous CDFs (4:08)
Moment Generating Functions (4:16)
Joint Probability Distributions (7:41)
Get to know your distributions (6:15)

Homework 5 : Normal Distribution

Notes: Normal

Intro to Normal (6:31)
Z-scores (6:08)
Probabilities of the Normal Distribution (6:02)
Reverse Normal (5:41)
Z Bridge (4:51)

Homework 6 : Sampling Distibution

Notes: Sampling Distribution

Sampling Distribution of a mean (4:21)
Sampling Distribution Applet (6:36)
Sampling Distribution summary (3:05)
Probability of a mean (3:58)
Probability of a mean when normal (3:54)
Cannot do questions (1:42)
Probabilities for a mean (skewed) (5:52)

Homework 7 : CI for one mean

Notes: Confidence Intervals

Introduction to Confidence Intervals (6:44)
Shrinking and growing the interval (6:15)
The picture for confidence intervals (4:18)
Definition of Confidence (8:39)
Sample size Calculation (6:32)
Using Confidence Intervals (3:21)
Check assumptions for CI (1:32)
Confidence Interval Example (2:58)

Homework 8 : CI with t, and for p

Notes: T tests and matched pairs

The t distribution (6:40)
t confidence interval for mu (3:56)
CI for mu with data (3:45)
Matched Pairs CI (5:55)
Introduction to proportions (8:18)
Proportion confidence interval (4:10)

Homework 9 : Hypothesis testing for one mean

Notes: Hypothesis Testing

Intro to Hypothesis Testing (3:23)
Null and Alternative Hypothesis (5:39)
Left, right or two tailed (5:25)
Definition of p-value (6:05)
Types of Errors (7:16)
Type I-II errors in Court (9:43)
Errors drug testing (4:20)
Errors creeper-keeper (4:37)
A Full Hypothesis Test (4:10)
Another full hypothesis test (5:30)
Doing HT in Webassign (4:47)
Steps of the hypothesis (2:41)

Homework 10 : HT t, p and matched

t test for mu (5:12)
Matched Pairs HT (7:51)
Equation for the Independent Test (7:23)
Test for p (4:35)
p hypothesis test (5:00)
500 Trials (3:35)

Homework 11 : Testing two means and proportions

Independent test of two means (4:01)
Map for testing means (4:31)
Equation for testing two proportions (6:10)
Testing p1-p2 (5:06)
2x2 table for testing proportions (5:21)
Indepdendent CI (5:57)
CI for p1 p2 (5:41)
CI for two proportions (2:56)
Notes: Two sample tests and pooled test
Notes: Testing Proportions

Homework 12 : Regression terminology and CI

Notes: Regression Tests
Beginning Regression (4:14)
Correlation (6:27)
Definition of R^2 (5:29)
Distribution for the slope (5:15)
Doing Predictions (4:16)
Regression Confidence Interval (4:51)
Homoscedasticity (1:24)

Homework 13 : SLR and power

The picture for calculating power (3:55)
Calculating statistical power (3:02)
What affects statistical power (4:27)
Going further with statistical power (3:11)
Calculating statistical power example (4:31)
Close to mu (2:52)
Regression hypothesis test (5:09)
Residuals (3:55)
Reading Residual Plots (5:49)
Full Regression Test (3:01)
Regression Example with real data (4:11)
I wanna test (2:49)