Section 1 : Introduction
Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM
Lecture 2 The big picture 00:02:11 Duration

Section 2 : Excel Statistics Fundamentals
Lecture 1 Using Excel functions 00:06:12 Duration
Lecture 2 Understanding Excel statistics functions 00:05:55 Duration
Lecture 3 Working with Excel graphics 00:04:23 Duration
Lecture 4 Installing the Excel Analysis Toolpak

Section 3 : Types of Data
Lecture 1 Differentiating data types 00:04:20 Duration
Lecture 2 Independent and dependent variables 00:01:00 Duration

Section 4 : Probability
Lecture 1 Defining probability 00:01:55 Duration
Lecture 2 Calculating probability 00:06:14 Duration
Lecture 3 Understanding conditional probability 00:02:06 Duration

Section 5 : Central Tendency
Lecture 1 The mean and its properties 00:02:16 Duration
Lecture 2 Working with the median 00:02:23 Duration
Lecture 3 Working with the mode 00:01:53 Duration

Section 6 : Variability
Lecture 1 Understanding variance 00:04:30 Duration
Lecture 2 Understanding standard deviation 00:02:48 Duration
Lecture 3 Z-scores 00:03:02 Duration

Section 7 : Distributions
Lecture 1 Organizing and graphing a distribution 00:03:58 Duration
Lecture 2 Graphing frequency polygons 00:02:05 Duration
Lecture 3 Properties of distributions 00:03:05 Duration
Lecture 4 Probability distributions 00:04:10 Duration

Section 8 : Normal Distributions
Lecture 1 The standard normal distribution
Lecture 2 Meeting the normal distribution family 00:01:32 Duration
Lecture 3 Standard normal distribution probability 00:04:10 Duration
Lecture 4 Visualizing normal distributions 00:01:37 Duration

Section 9 : Sampling Distributions
Lecture 1 Introducing sampling distributions 00:03:45 Duration
Lecture 2 Understanding the central limit theorem 00:03:53 Duration
Lecture 3 Meeting the t-distribution 00:02:24 Duration

Section 10 : Estimation
Lecture 1 Confidence in estimation 00:04:45 Duration
Lecture 2 Calculating confidence intervals 00:05:16 Duration

Section 11 : Hypothesis Testing
Lecture 1 The logic of hypothesis testing
Lecture 2 Type I errors and Type II errors 00:03:22 Duration

Section 12 : Testing Hypotheses about a Mean
Lecture 1 Applying the central limit theorem 00:04:17 Duration
Lecture 2 The z-test and the t-test 00:08:02 Duration

Section 13 : Testing Hypotheses about a Variance
Lecture 1 The chi-squared distribution 00:03:37 Duration

Section 14 : Independent Samples Hypothesis Testing
Lecture 1 Understanding independent samples 00:02:54 Duration
Lecture 2 Distributions for independent samples 00:03:48 Duration
Lecture 3 The z-test for independent samples 00:02:27 Duration
Lecture 4 The t-test for independent samples 00:07:00 Duration

Section 15 : Matched Samples Hypothesis Testing
Lecture 1 Understanding matched samples
Lecture 2 Distributions for matched samples 00:02:04 Duration
Lecture 3 The t-test for matched samples 00:04:34 Duration

Section 16 : Testing Hypotheses about Two Variances
Lecture 1 Working with the F-test 00:03:00 Duration

Section 17 : The Analysis of Variance
Lecture 1 Testing more than two parameters 00:03:22 Duration
Lecture 2 Introducing ANOVA 00:06:22 Duration
Lecture 3 Applying ANOVA 00:01:41 Duration

Section 18 : After the Analysis of Variance
Lecture 1 Types of post-ANOVA testing 00:02:05 Duration
Lecture 2 Post-ANOVA planned comparisons 00:03:07 Duration

Section 19 : Repeated Measures Analysis
Lecture 1 What is repeated measures
Lecture 2 Applying repeated measures ANOVA 00:02:36 Duration

Section 20 : Hypothesis Testing with Two Factors
Lecture 1 Statistical interactions 00:05:04 Duration
Lecture 2 Two-factor ANOVA 00:05:21 Duration
Lecture 3 Performing two-factor ANOVA 00:02:05 Duration

Section 21 : Regression
Lecture 1 Understanding the regression line 00:05:46 Duration
Lecture 2 Variation around the regression line 00:03:11 Duration
Lecture 3 Analysis of variance for regression 00:05:16 Duration
Lecture 4 Multiple regression analysis 00:03:16 Duration

Section 22 : Correlation
Lecture 1 Hypothesis testing with correlation 00:02:26 Duration
Lecture 2 Understanding correlation 00:02:39 Duration
Lecture 3 The correlation coefficient 00:03:00 Duration
Lecture 4 Correlation and regression 00:02:00 Duration