视频选集
（65/69）
1 Population vs Sample Data
26:47
2-1 Describing a Categorical Variable
09:57
2-2 Descriptive Statistics, Histograms
18:42
2-3 Stem and Leaf Diagrams
12:43
2-4 Descriptive Statistics Cross Tabulation
17:02
3-1 Understanding Z-scores
22:57
3-2 Standard Deviation and NFL Field Goals - Part 1_3
20:05
3-3 Standard Deviation and NFL Field Goals - Part 2_3
26:26
3-4 Standard Deviation and NFL Field Goals - Part 3_3
06:45
3-5 Is My Data Normal
25:31
3-6 Understanding Covariance
26:23
3-7 The Covariance Matrix
17:32
3-8 Understanding Correlation
27:06
4-1 Permutations vs. Combinations
21:00
4-2 Combinations
20:54
4-3 Permutations
19:04
4-4 Combinations - Losing Your Marbles
28:43
4-5 Combinations - Dogs of the Dow
28:50
4-6 Combinations - Nearly Normal
23:45
4-7 Combinations - Under the Curve
29:22
4-8 Set Operations and Notation
23:18
4-9 Venn Diagram Basics
23:23
4-10 Venn Diagram Region Method
20:38
4-11 Venn Diagram Union Cardinality
26:41
4-12 Venn Diagram Practice Problems
23:54
4-13 Joint and Marginal Probabilities
21:20
4-14 Combinations - Playing with a Full Deck
29:35
5-1 Random Variable Basics
11:59
5-2 Discrete Random Variable Basics
12:46
5-3 Discrete Random Variable Probabilities
19:42
5-4 Expected Value
21:19
5-5 Discrete Random Variable Variance
26:16
5-6 The Binomial Distribution
36:50
5-7 Binomial Mean and Standard Deviation
21:41
5-8 Simple Binomial Sales Quota Analysis
20:41
5-9 Binomially Distributed Mac OS X User Rate
32:43
5-10 Binomially Distributed Factory Accident Data
20:42
5-11 Introduction to the Poisson Distribution
31:14
5-12 Poisson Practice Problems
28:03
5-13 Poisson Graphs in Excel
17:52
6-1 Uniform Probability Distributions
30:31
6-2 A Tour of the Normal Distribution
26:58
6-3 To z or to t, That is the Question
38:17
6-4 Normal Distribution and Stock Risk
35:59
7-1 Point Estimators
14:48
7-2 Sampling Distributions
18:48
7-3 Standard Error of the Mean
32:03
7-4 Sample Mean Proximity to Population Mean
38:59
8-1 Confidence Interval Estimation, Sigma Known
44:07
8-2 Confidence Interval Concepts, Sigma Unknown
27:15
8-3 Confidence Interval Problems, Sigma Unkown
20:57
8-4 Confidence Intervals, Estimating Sample Size Needed
37:42
9-1 Introduction to Hypothesis Formulation
21:09
9-2 Null and Alternative Hypotheses
22:17
9-3 Null and Alternative Hypotheses Example Problems
18:10
9-4 Type I and Type II Errors
24:55
9-5 Type I and Type II Error Examples
24:04
9-6 Visualizing Type I and Type II Error
37:43
9-7 Single Sample Hypothesis Z-test Concepts
19:09
9-8 Single Sample Hypothesis Z-test Examples
15:17
9-9 Single Sample Hypothesis Z-test Alpha and p-values
16:11
9-10 Single Sample Hypothesis t-test Concepts
25:41
9-11 Single Sample Hypothesis t-test Examples
28:08
9-12 Calculating Type II Error, Concept with Example
23:39
9-13 Calculating Type II Error, Test Power Curve
20:57
9-14 Controlling Type II Error using Sample Size
38:10
10-1 Two Populations, z-test with Hypothesis
26:37
10-2 Two Populations, t-test with Hypothesis
33:58
10-3 Two Populations, Matched Sample t-test
34:28
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