01
6A-1 Type of data
12m
02
6A-2 Measurement scales
12m
03
6A-3 Data Collection Methods
5m
04
6A-3 Data Coding
12m
05
6A-3 Missing Data
4m
06
6A-4 Data accuracy and integrity
8m
07
6A-5 Descriptive Statistics - Introduction
5m
08
6A-5 Measurements of Central Tendency
12m
09
6A-5 Measurements of Dispersion
12m
10
6A-6 Stem-and-leaf Plot
7m
11
6A-6 Box-and-Whisker Plot
4m
12
6A-6 Scatter Plot
3m
13
6A-7 Graphical Methods for Depicting Distributions
8m
14
6B-1 Terminology - Type I and Type II Errors
16m
15
6B-1 Hypothesis Testing Explained
13m
16
6B-1 How to read the Z Table?
9m
17
6B-1 Understanding the p Value
4m
18
6B-1 Calculating Sample Size
10m
19
6B-2 Drawing statistical conclusions
5m
20
6B-3 Probability Terms and Concepts - Part 1
8m
21
6B-3 Probability Terms and Concepts - Part 2
10m
22
6B-3 Probability Terms and Concepts - Part 3
16m
23
6B-3 Factorial, Permutations and Combinations
7m
24
6C Normal Probability Distribution
20m
25
6C Binomial Probability Distribution
16m
26
6C Bernoulli and Hypergeometric Distribution
10m
27
6C Poisson Distribution
6m
28
6D-1 Point Estimates and Confidence Intervals - Introduction
7m
29
6D-1 Factors Affecting Confidence Interval Width
6m
30
6D-1 Calculating Confidence Interval Using Z Table
5m
31
6D-1 Calculating Confidence Interval Using t Table
10m
32
6D-1 Calculating Confidence Interval for Proportions
5m
33
6D-1 Variance Confidence Interval
12m
34
6D-2 Hypothesis Testing - Introduction
5m
35
6D-2 One Sample z Test
7m
36
6D-2 One Sample t Test
6m
37
6D-2 One Sample Proportions Test
8m
38
6D-2 Two Sample z Test
17m
39
6D-2 Two Sample t Test - Introduction
9m
40
6D-2 Two Sample t Test - Example with Equal Variance
9m
41
6D-2 Two Sample t Test - Example with Un-equal Variance
10m
42
6D-3 Paired -comparision tests (Paired t Test)
8m
43
6D-3 Two Sample p Test
10m
44
6D-2 Tests for Variance
5m
45
6D-2 F Test for Comparing Variances
11m
46
6D-2 Chi-square Test for Variance
9m
47
6D-5 Analysis of Variance (ANOVA) - Introduction
9m
48
6D-5 ANOVA - Comparing Means Without Any Calculation
11m
49
6D-5 ANOVA Formulas
5m
50
6D-5 ANOVA Manual Calculations Example
15m
51
6D-5 ANOVA Using Microsoft Excel
4m
52
6D-5 ANOVA - Example (Expect something like this in the CQE exam)
3m
53
6D-4 Goodness -of-fit tests
11m
54
6D-6 Contingency Tables
14m
55
6D-6 Contingency Tables (Practice Problem)
2m
56
6E Simple Linear Correlation - Introduction
4m
57
6E Correlation Coefficient Manual Calculation
7m
58
6E Correlation Coefficient - Calculating Using MS Excel
3m
59
6E Correlation - Summary
5m
60
6E Correlation vs Causation
4m
61
6E Correlation - Confidence Interval
17m
62
6E Linear Regression - Coefficient of Determination
3m
63
6E Regression Equation - Manual Calculation
10m
64
6E Residual Analysis
4m
65
6E Time-series Analysis
10m
66
6F-1 Statistical Process Control (SPC) Objectives and Benefits
5m
67
6F-2 Common and Special Causes
5m
68
6F-3 Selection of Variable
5m
69
6F-4 Rational subgrouping
11m
70
6F-5 Selecting Control Charts
9m
71
6F-5 ImR or XmR Charts
10m
72
6F-5 X bar R Charts
8m
73
6F-5 X-bar s Charts
3m
74
6F-5 Attribute Control Charts - Introduction
7m
75
6F-5 nP Charts
6m
76
6F5 P Charts
8m
77
6F-5 C Charts
5m
78
6F-5 U Charts
4m
79
6F-6 Control Chart Analysis - Nelson Rules
18m
80
6F-6 Nelson Rules - Calculating Probabilities
6m
81
6F-7 Pre-control charts
7m
82
6F-8 Short- run SPC - Part 1 - Introduction and Difference Chart
8m
83
6F-8 Short- run SPC - Part 2 - Z-MR Chart
9m
84
6G Process Performance vs
11m
85
6G Process Capability Indices - Part 1
20m
86
6G Process Capability Indices - Cr - Part 1A
3m
87
6G Process Capability Indices - Part 2
7m
88
6G Process Performance Indices
8m
89
6G Conducting Process Capability Studies
4m
90
6H Design and Analysis of Experiments (DoE) Introduction
3m
91
6H-1 Terminology - Factors and Response
6m
92
6H-1 Terminology - An Example of Lauching Branded Coffee
7m
93
6H-1 Terminology - Interaction Chart
4m
94
6H-1 Terminology - Contour Plot
3m
95
6H-1 Terminology - Mathematical Equation
7m
96
6H-2 Planning and organizing experiments
17m
97
6H-3 Introducing Interaction
7m
98
6H-3 DOE Equation with Interaction
9m
99
6H-3 Design of Experiments - Definitions
5m
100
6H-3 Three Factors Experiment
9m
101
6H-3 Half Factorial Design and Resolutions
18m
102
6H-3 DOE Nuisance Factors and Balanced Design
6m
103
6H-4 One-factor Experiments - Introduction
5m
104
6H-4 One-factor Experiments - Completely Randomized Experiments
5m
105
6H-4 One-factor Experiments -Randomized Block Design
3m
106
6H-4 One-factor Experiments - Latin and Graeco Latin Square Design
7m
107
6H-6 Two-level Fractional Factorial Experiments - Introduction
5m
108
6H-6 Two-level Fractional Factorial Experiments - Number of Experiments
3m
109
6H-6 Two-level Fractional Factorial Experiments - Plackett Burman Design
6m