#### Section 2 : Visualizing data

 Lecture 4 Introduction to visualizing data 0:45 Lecture 5 RESOURCE Quiz solutions for this section Text Lecture 6 One-way data Text Lecture 7 One-way data 9:18 Lecture 8 Bar graphs and pie charts Text Lecture 9 Bar graphs and pie charts 19:39 Lecture 10 Line graphs and ogives Text Lecture 11 Line graphsand ogives 13:59 Lecture 12 Two-way data Text Lecture 13 Two-way data 12:55 Lecture 14 Venn diagrams Text Lecture 15 Venn diagrams 14:3 lecture 16 Relative frequency tables Text Lecture 17 Relative frequency tables 11:14 Lecture 18 Joint distributions Text Lecture 19 Joint distributions 10:36 Lecture 20 Frequency tables and dot plots Text Lecture 21 Frequency tables and dot plots 3:42 Lecture 22 Histograms and stem-and-leaf plots Text Lecture 23 Histograms and stem-and-leaf plots 13:2 Lecture 24 BONUS! Extra practice problems. Text

#### Section 3 : Analyzing data

 Lecture 25 Introduction to analyzing data 1:3 Lecture 26 RESOURCE Quiz solutions for this section Text Lecture 27 Central tendency mean, median and mode Text Lecture 28 Central tendency mean, median and mode 13:39 Lecture 29 Spread range and IQR Text Lecture 30 Spread range and IQR 11:26 Lecture 31 Changing the data, and outliers Text Lecture 32 Changing the data, and outliers 16:8 Lecture 33 Box-and-whisker plots Text Lecture 34 Box-and-whisker plots 6:20 Lecture 35 BONUS! Extra practice problems. Text

#### Section 4 : Data distributions

 Lecture 36 Introduction to data distributions Lecture 37 RESOURCE Quiz solutions for this section Text Lecture 38 Mean, variance, and standard deviation Text Lecture 39 Mean, variance, and standard deviation 15:17 Lecture 40 Frequency histograms and polygons, and density Text Lecture 41 Frequency histograms and polygons, and density 10:53 Lecture 42 Symmetric and skewed distributions and outlier Text Lecture 43 Symmetric and skewed distributions and outlier 14:5 Lecture 44 Normal distributions and z-scores Text Lecture 45 Normal distributions and z-scores 20:58 Lecture 46 BONUS! Extra practice problems Text

#### Section 5 : Probability

 Lecture 47 Introduction to probability Lecture 48 RESOURCE Quiz solutions for this section Text Lecture 49 Simple probability Text Lecture 50 Simple probability 17:13 Lecture 51 The addition rule, and union vs. intersection Text Lecture 52 The addition rule, and union vs. intersection. 20:31 Lecture 53 Independent and dependent events and condition Text Lecture 54 Independent and dependent events and condition 17:41 Lecture 55 Bayes' theorem Text Lecture 56 Bayes' theorem 17:8 Lecture 57 BONUS! Extra practice problems. Text

#### Section 6 : Discrete random variables

 Lecture 58 Introduction to discrete random variables Lecture 59 RESOURCE Quiz solutions for this section Text Lecture 60 Discrete probability Text Lecture 61 Discrete probability 13:9 Lecture 62 Transforming random variables Text Lecture 63 Transforming random variables 7:35 Lecture 64 Combinations of random variables Text Lecture 65 Combinations of random variables 15:34 Lecture 66 Permutations and combinations Text Lecture 67 Permutations and combinations 10:11 Lecture 68 Binomial random variables Text Lecture 69 Binomial random variables 21:17 Lecture 70 Poisson distributions Text Lecture 71 Poisson distributions Lecture 72 At least and at most, and mean, variance, and Text Lecture 73 At least and at most, and mean, variance, and 13:52 Lecture 74 Bernoulli random variables Text Lecture 75 Bernoulli random variables 10:37 Lecture 76 Geometric random variables Text Lecture 77 Geometric random variables 18:21 Lecture 78 BONUS! Extra practice problems. Text

#### Section 7 : Sampling

 Lecture 79 Introduction to sampling 1:19 Lecture 80 RESOURCE Quiz solutions for this section Text Lecture 81 Types of studies Text Lecture 82 Types of studies 15:56 Lecture 83 Sampling and bias Text Lecture 84 Sampling and bias 15:40 Lecture 85 Sampling distribution of the sample mean Text Lecture 86 Sampling distribution of the sample mean 22:13 Lecture 87 Sampling distribution of the sample proportion Text Lecture 88 Sampling distribution of the sample proportion 19:3 Lecture 89 Confidence interval for a population mean Text Lecture 90 Confidence interval for a population mean 22:32 Lecture 91 Confidence interval for a population proportio Text Lecture 92 Confidence interval for a population proportio 17:12 Lecture 93 BONUS! Extra practice problems Text

#### Section 8 : Hypothesis testing

 Lecture 94 Introduction to hypothesis testing 0:54 Lecture 95 RESOURCE Quiz solutions for this section Text Lecture 96 Inferential statistics and hypotheses Text Lecture 97 Inferential statistics and hypotheses 15:25 Lecture 98 Significance level and type I and II errors Text Lecture 99 icance level and type I and II errors 13:24 Lecture 100 Test statistics for one- and two-tailed tests Text Lecture 101 est statistics for one- and two-tailed tests 19:50 Lecture 102 The p-value and rejecting the null Text Lecture 103 The p-value and rejecting the null 12:46 Lecture 104 Hypothesis testing for the population proport Text Lecture 105 Hypothesis testing for the population proport 9:53 Lecture 106 BONUS! Extra practice problems Text

#### Section 9 : Regression

 Lecture 107 Introduction to regression 1:8 Lecture 108 RESOURCE Quiz solutions for this section Text Lecture 109 Scatterplots and regression Text Lecture 110 Scatterplots and regression 15:51 Lecture 111 Correlation coefficient and the residual Text Lecture 112 Correlation coefficient and the residual 23:10 Lecture 113 Coefficient of determination and root-mean-sq Text Lecture 114 Coefficient of determination and root-mean-sq 17:1 Lecture 115 Chi-square tests Text Lecture 116 Chi-square tests 22:24 Lecture 117 BONUS! Extra practice problems Text

#### Section 10 : Final exam and wrap-up

 Lecture 118 Practice final exam #1 (optional) Text Lecture 119 Practice final exam #2 (optional) Text Lecture 120 Probability & Statistics final exam Text Lecture 121 Wrap-up