Section 1 : Getting started
Lecture 1 About Certification
Lecture 2 Download the formula sheet
Lecture 3 The EVERYTHING download

Section 2 : Visualizing data
Lecture 1 Introduction to visualizing data 00:00:45 Duration
Lecture 2 RESOURCE Quiz solutions for this section
Lecture 3 One-way data
Lecture 4 One-way data 00:09:18 Duration
Lecture 5 Bar graphs and pie charts
Lecture 6 Bar graphs and pie charts 00:19:39 Duration
Lecture 7 Line graphs and ogives
Lecture 8 Line graphsand ogives 00:13:59 Duration
Lecture 9 Two-way data
Lecture 10 Two-way data 00:12:55 Duration
Lecture 11 Venn diagrams
Lecture 12 Venn diagrams 00:14:03 Duration
Lecture 13 Relative frequency tables
Lecture 14 Relative frequency tables 00:11:14 Duration
Lecture 15 Joint distributions
Lecture 16 Joint distributions 00:10:36 Duration
Lecture 17 Frequency tables and dot plots
Lecture 18 Frequency tables and dot plots 00:03:42 Duration
Lecture 19 Histograms and stem-and-leaf plots
Lecture 20 Histograms and stem-and-leaf plots 00:13:02 Duration
Lecture 21 BONUS! Extra practice problems.

Section 3 : Analyzing data
Lecture 1 Introduction to analyzing data 00:01:03 Duration
Lecture 2 RESOURCE Quiz solutions for this section
Lecture 3 Central tendency mean, median and mode
Lecture 4 Central tendency mean, median and mode 00:13:39 Duration
Lecture 5 Spread range and IQR
Lecture 6 Spread range and IQR 00:11:26 Duration
Lecture 7 Changing the data, and outliers
Lecture 8 Changing the data, and outliers 00:16:08 Duration
Lecture 9 Box-and-whisker plots
Lecture 10 Box-and-whisker plots 00:06:20 Duration
Lecture 11 BONUS! Extra practice problems.

Section 4 : Data distributions
Lecture 1 Introduction to data distributions
Lecture 2 RESOURCE Quiz solutions for this section
Lecture 3 Mean, variance, and standard deviation
Lecture 4 Mean, variance, and standard deviation 00:15:17 Duration
Lecture 5 Frequency histograms and polygons, and density
Lecture 6 Frequency histograms and polygons, and density 00:10:53 Duration
Lecture 7 Symmetric and skewed distributions and outlier
Lecture 8 Symmetric and skewed distributions and outlier 00:14:05 Duration
Lecture 9 Normal distributions and z-scores
Lecture 10 Normal distributions and z-scores 00:20:58 Duration
Lecture 11 BONUS! Extra practice problems

Section 5 : Probability
Lecture 1 Introduction to probability
Lecture 2 RESOURCE Quiz solutions for this section
Lecture 3 Simple probability
Lecture 4 Simple probability 00:17:13 Duration
Lecture 5 The addition rule, and union vs. intersection
Lecture 6 The addition rule, and union vs. intersection. 00:20:31 Duration
Lecture 7 Independent and dependent events and condition
Lecture 8 Independent and dependent events and condition 00:17:41 Duration
Lecture 9 Bayes' theorem
Lecture 10 Bayes' theorem 00:17:08 Duration
Lecture 11 BONUS! Extra practice problems.

Section 6 : Discrete random variables
Lecture 1 Introduction to discrete random variables
Lecture 2 RESOURCE Quiz solutions for this section
Lecture 3 Discrete probability
Lecture 4 Discrete probability 00:13:09 Duration
Lecture 5 Transforming random variables
Lecture 6 Transforming random variables 00:07:35 Duration
Lecture 7 Combinations of random variables
Lecture 8 Combinations of random variables 00:15:34 Duration
Lecture 9 Permutations and combinations
Lecture 10 Permutations and combinations 00:10:11 Duration
Lecture 11 Binomial random variables
Lecture 12 Binomial random variables 00:21:17 Duration
Lecture 13 Poisson distributions
Lecture 14 Poisson distributions
Lecture 15 At least and at most, and mean, variance, and
Lecture 16 At least and at most, and mean, variance, and 00:13:52 Duration
Lecture 17 Bernoulli random variables
Lecture 18 Bernoulli random variables 00:10:37 Duration
Lecture 19 Geometric random variables
Lecture 20 Geometric random variables 00:18:21 Duration
Lecture 21 BONUS! Extra practice problems.

Section 7 : Sampling
Lecture 1 Introduction to sampling 00:01:19 Duration
Lecture 2 RESOURCE Quiz solutions for this section
Lecture 3 Types of studies
Lecture 4 Types of studies 00:15:56 Duration
Lecture 5 Sampling and bias
Lecture 6 Sampling and bias 00:15:40 Duration
Lecture 7 Sampling distribution of the sample mean
Lecture 8 Sampling distribution of the sample mean 00:22:13 Duration
Lecture 9 Sampling distribution of the sample proportion
Lecture 10 Sampling distribution of the sample proportion 00:19:03 Duration
Lecture 11 Confidence interval for a population mean
Lecture 12 Confidence interval for a population mean 00:22:32 Duration
Lecture 13 Confidence interval for a population proportio
Lecture 14 Confidence interval for a population proportio 00:17:12 Duration
Lecture 15 BONUS! Extra practice problems

Section 8 : Hypothesis testing
Lecture 1 Introduction to hypothesis testing 00:00:54 Duration
Lecture 2 RESOURCE Quiz solutions for this section
Lecture 3 Inferential statistics and hypotheses
Lecture 4 Inferential statistics and hypotheses 00:15:25 Duration
Lecture 5 Significance level and type I and II errors
Lecture 6 icance level and type I and II errors 00:13:24 Duration
Lecture 7 Test statistics for one- and two-tailed tests
Lecture 8 est statistics for one- and two-tailed tests 00:19:50 Duration
Lecture 9 The p-value and rejecting the null
Lecture 10 The p-value and rejecting the null 00:12:46 Duration
Lecture 11 Hypothesis testing for the population proport
Lecture 12 Hypothesis testing for the population proport 00:09:53 Duration
Lecture 13 BONUS! Extra practice problems

Section 9 : Regression
Lecture 1 Introduction to regression 00:01:08 Duration
Lecture 2 RESOURCE Quiz solutions for this section
Lecture 3 Scatterplots and regression
Lecture 4 Scatterplots and regression 00:15:51 Duration
Lecture 5 Correlation coefficient and the residual
Lecture 6 Correlation coefficient and the residual 00:23:10 Duration
Lecture 7 Coefficient of determination and root-mean-sq
Lecture 8 Coefficient of determination and root-mean-sq 00:17:01 Duration
Lecture 9 Chi-square tests
Lecture 10 Chi-square tests 00:22:24 Duration
Lecture 11 BONUS! Extra practice problems

Section 10 : Final exam and wrap-up
Lecture 1 Practice final exam #1 (optional)
Lecture 2 Practice final exam #2 (optional)
Lecture 3 Probability & Statistics final exam
Lecture 4 Wrap-up