Become a Probability & Statistics Master

Become a Probability & Statistics Master
Become a Probability & Statistics Master
English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 11.5 Hours | 2.05 GB

Learn everything from Probability & Statistics, then test your knowledge with 600+ practice questions

HOW BECOME A PROBABILITY & STATISTICS MASTER IS SET UP TO MAKE COMPLICATED MATH EASY:

This course includes video and text explanations of everything from Probability and Statistics, and it includes quizzes (with solutions!) and an additional 8 workbooks with extra practice problems, to help you test your understanding along the way. Become a Probability & Statistics Master is organized into the following sections:
Visualizing data, including bar graphs, pie charts, Venn diagrams, histograms, and dot plots
Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
Probability, including union vs. intersection and independent and dependent events and Bayes’ theorem
Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables
Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
Hypothesis testing, including inferential statistics, significance levels, type I and II errors, test statistics, and p-values
Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square

AND HERE’S WHAT YOU GET INSIDE OF EVERY SECTION:

Videos: Watch over my shoulder as I solve problems for every single math issue you’ll encounter in class. We start from the beginning… I explain the problem setup and why I set it up that way, the steps I take and why I take them, how to work through the yucky, fuzzy middle parts, and how to simplify the answer when you get it.

Notes: The notes section of each lesson is where you find the most important things to remember. It’s like Cliff Notes for books, but for math. Everything you need to know to pass your class and nothing you don’t.

Quizzes: When you think you’ve got a good grasp on a topic within a course, you can test your knowledge by taking one of the quizzes. If you pass, great! If not, you can review the videos and notes again or ask for help in the Q&A section.

Workbooks: Want even more practice? When you’ve finished the section, you can review everything you’ve learned by working through the bonus workbook. The workbooks include tons of extra practice problems, so they’re a great way to solidify what you just learned in that section.

What you’ll learn

  • Visualizing data, including bar graphs, pie charts, venn diagrams, histograms, and dot plots
  • Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
  • Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
  • Probability, including union vs. intersection and independent and dependent events and Bayes’ theorem
  • Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables
  • Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
  • Hypothesis testing, including inferential statistics, significance level, type I and II errors, test statistics, and p-values
  • Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square
Table of Contents

Getting started
1 Hi! START HERE: Course overview
2 Download the formula sheet

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

Analyzing data
25 Introduction to analyzing data
26 RESOURCE: Quiz solutions for this section
27 Central tendency: mean, median and mode
28 Central tendency: mean, median and mode
29 Spread: range and IQR
30 Spread: range and IQR
31 Changing the data, and outliers
32 Changing the data, and outliers
33 Box-and-whisker plots
34 Box-and-whisker plots
35 BONUS! Extra practice problems.

Data distributions
36 Introduction to data distributions
37 RESOURCE: Quiz solutions for this section
38 Mean, variance, and standard deviation
39 Mean, variance, and standard deviation
40 Frequency histograms and polygons, and density curves
41 Frequency histograms and polygons, and density curves
42 Symmetric and skewed distributions and outliers
43 Symmetric and skewed distributions and outliers
44 Normal distributions and z-scores
45 Normal distributions and z-scores
46 BONUS! Extra practice problems.

Probability
47 Introduction to probability
48 RESOURCE: Quiz solutions for this section
49 Simple probability
50 Simple probability
51 The addition rule, and union vs. intersection
52 The addition rule, and union vs. intersection
53 Independent and dependent events and conditional probability
54 Independent and dependent events and conditional probability
55 Bayes’ theorem
56 BONUS! Extra practice problems.

Discrete random variables
57 Introduction to discrete random variables
58 RESOURCE: Quiz solutions for this section
59 Discrete probability
60 Discrete probability
61 Transforming random variables
62 Transforming random variables
63 Combinations of random variables
64 Combinations of random variables
65 Permutations and combinations
66 Permutations and combinations
67 Binomial random variables
68 Binomial random variables
69 Poisson distributions
70 Poisson distributions
71 “At least” and “at most,” and mean, variance, and standard deviation
72 “At least” and “at most,” and mean, variance, and standard deviation
73 Bernoulli random variables
74 Bernoulli random variables
75 Geometric random variables
76 Geometric random variables
77 BONUS! Extra practice problems.

Sampling
78 Introduction to sampling
79 RESOURCE: Quiz solutions for this section
80 Types of studies
81 Types of studies
82 Sampling and bias
83 Sampling and bias
84 Sampling distribution of the sample mean
85 Sampling distribution of the sample mean
86 Sampling distribution of the sample proportion
87 Sampling distribution of the sample proportion
88 Confidence interval for a population mean
89 Confidence interval for a population mean
90 Confidence interval for a population proportion
91 Confidence interval for a population proportion
92 BONUS! Extra practice problems.

Hypothesis testing
93 Introduction to hypothesis testing
94 RESOURCE: Quiz solutions for this section
95 Inferential statistics and hypotheses
96 Inferential statistics and hypotheses
97 Significance level and type I and II errors
98 Significance level and type I and II errors
99 Test statistics for one- and two-tailed tests
100 Test statistics for one- and two-tailed tests
101 The p-value and rejecting the null
102 The p-value and rejecting the null
103 Hypothesis testing for the population proportion
104 Hypothesis testing for the population proportion
105 BONUS! Extra practice problems.

Regression
106 Introduction to regression
107 RESOURCE: Quiz solutions for this section
108 Scatterplots and regression
109 Scatterplots and regression
110 Correlation coefficient and the residual
111 Correlation coefficient and the residual
112 Coefficient of determination and root-mean-square error
113 Coefficient of determination and root-mean-square error
114 Chi-square tests
115 Chi-square tests
116 BONUS! Extra practice problems.

Final exam and wrap-up
117 Probability & Statistics final exam
118 Wrap-up