Become a Probability & Statistics Master (Learn Everything from Probability & Statistics)

"Become a Probability & Statistics Master" is a comprehensive course designed to make complex math easy to understand. With 163 lessons, this course covers everything you need to know about Probability and Statistics through video and text explanations. It also includes 45 quizzes with solutions and 8 workbooks filled with extra practice problems to help you solidify your understanding.

The course is divided into several key sections. You will start by learning how to visualize data using bar graphs, pie charts, histograms, and more. Next, you'll dive into analyzing data and explore concepts like mean, median, mode, range, and interquartile range. As you progress, you'll understand data distributions, including variance and standard deviation, and learn about normal distributions and z-scores. Probability is another major topic, covering the difference between union and intersection, independent and dependent events, and Bayes' theorem.

Further, the course "Become a Probability & Statistics Master" explores discrete random variables such as binomial and Poisson distributions. You'll learn about different sampling methods, how to identify bias, and how to calculate confidence intervals. Hypothesis testing is also covered, including significance levels, type I and II errors, and p-values. Finally, you'll delve into regression, learning how to interpret scatterplots, calculate correlation coefficients, and understand the chi-square test. This course is designed to be user-friendly and accessible, ensuring you gain a solid grasp of probability and statistics.

Become a Probability & Statistics Master Table of Contents:

1. What you'll learn in this course (05:11)
2. How to get the most out of this course (01:27)
3. Download the formula sheet (00:19)
4. The EVERYTHING download (00:24)
5. Introduction to visualizing data (00:45)
6. RESOURCE: Quiz solutions for this section (00:17)
7. One-way tables (09:17)
8. One-way tables: 3 questions
9. Bar graphs and pie charts (19:38)
10. Bar graphs and pie charts: 3 questions
11. Line graphs and ogives (13:58)
12. Line graphs and ogives: 3 questions
13. Two-way tables (12:55)
14. Two-way tables: 3 questions
15. Venn diagrams (14:02)
16. Venn diagrams: 3 questions
17. Frequency tables and dot plots (03:42)
18. Frequency tables and dot plots: 3 questions
19. Relative frequency tables (11:14)
20. Relative frequency tables: 3 questions
21. Joint distributions (10:36)
22. Joint distributions: 3 questions
23. Histograms and stem-and-leaf plots (13:01)
24. Histograms and stem-and-leaf plots: 3 questions
25. Building histograms from data sets (11:52)
26. Building histograms from data sets: 3 questions
27. BONUS! Extra practice problems. (00:26)
28. Introduction to analyzing data (01:02)
29. RESOURCE: Quiz solutions for this section (00:17)
30. Measures of central tendency (13:39)
31. Measures of central tendency: 3 questions
32. Measures of spread (17:58)
33. Measures of spread: 3 questions
34. Changing the data, and outliers (16:07)
35. Changing the data, and outliers: 3 questions
36. Box-and-whisker plots (06:19)
37. Box-and-whisker plots: 3 questions
38. BONUS! Extra practice problems. (00:26)
39. Introduction to data distributions (00:55)
40. RESOURCE: Quiz solutions for this section (00:17)
41. Mean, variance, and standard deviation (15:16)
42. Mean, variance, and standard deviation: 3 questions
43. Frequency histograms and polygons, and density curves (10:52)
44. Frequency histograms and polygons, and density curves: 3 questions
45. Symmetric and skewed distributions and outliers (14:05)
46. Symmetric and skewed distributions and outliers: 3 questions
47. Normal distributions and z-scores (20:57)
48. Normal distributions and z-scores: 3 questions
49. Chebyshev's Theorem (10:51)
50. Chebyshev's Theorem: 3 questions
51. Covariance (14:36)
52. Covariance: 3 questions
53. Correlation coefficient (16:31)
54. Correlation coefficient: 3 questions
55. Weighted means and grouped data (09:58)
56. Weighted means and grouped data: 3 questions
57. BONUS! Extra practice problems. (00:26)
58. Introduction to probability (00:46)
59. RESOURCE: Quiz solutions for this section (00:16)
60. Simple probability (17:12)
61. Simple probability: 3 questions
62. The addition rule, and union vs. intersection (20:30)
63. The addition rule, and union vs. intersection: 3 questions
64. Independent and dependent events and conditional probability (17:40)
65. Independent and dependent events and conditional probability: 3 questions
66. Bayes' Theorem (16:59)
67. Bayes' Theorem: 3 questions
68. BONUS! Extra practice problems. (00:26)
69. Introduction to discrete random variables (01:00)
70. RESOURCE: Quiz solutions for this section (00:17)
71. Discrete probability (13:09)
72. Discrete probability: 3 questions
73. Transforming random variables (07:34)
74. Transforming random variables: 3 questions
75. Combinations of random variables (15:33)
76. Combinations of random variables: 3 questions
77. Permutations and combinations (10:11)
78. Permutations and combinations: 3 questions
79. Binomial random variables (21:26)
80. Binomial random variables: 3 questions
81. Poisson distributions (16:36)
82. Poisson distributions: 3 questions
83. "At least" and "at most," and mean, variance, and standard deviation (13:52)
84. "At least" and "at most," and mean, variance, and standard deviation: 3 questions
85. Bernoulli random variables (10:36)
86. Bernoulli random variables: 3 questions
87. Geometric random variables (18:21)
88. Geometric random variables: 3 questions
89. BONUS! Extra practice problems. (00:26)
90. Introduction to sampling (01:18)
91. RESOURCE: Quiz solutions for this section (00:16)
92. Types of studies (15:56)
93. Types of studies: 3 questions
94. Sampling and bias (15:40)
95. Sampling and bias: 3 questions
96. Sampling distribution of the sample mean (34:12)
97. Sampling distribution of the sample mean: 3 questions
98. Conditions for inference with the SDSM (15:10)
99. Conditions for inference with the SDSM: 3 questions
100. Sampling distribution of the sample proportion (15:29)
101. Sampling distribution of the sample proportion: 3 questions
102. Conditions for inference with the SDSP (11:54)
103. Conditions for inference with the SDSP: 3 questions
104. The student's t-distribution (12:07)
105. The student's t-distribution: 3 questions
106. Confidence interval for the mean (22:04)
107. Confidence interval for the mean: 3 questions
108. Confidence interval for the proportion (14:09)
109. Confidence interval for the proportion: 3 questions
110. BONUS! Extra practice problems. (00:26)
111. Introduction to hypothesis testing (01:01)
112. RESOURCE: Quiz solutions for this section (00:17)
113. Inferential statistics and hypotheses (15:25)
114. Inferential statistics and hypotheses: 3 questions
115. Significance level and type I and II errors (13:24)
116. Significance level and type I and II errors: 3 questions
117. Test statistics for one- and two-tailed tests (20:06)
118. Test statistics for one- and two-tailed tests: 3 questions
119. The p-value and rejecting the null (15:31)
120. The p-value and rejecting the null: 3 questions
121. Hypothesis testing for the population proportion (12:09)
122. Hypothesis testing for the population proportion: 3 questions
123. Confidence interval for the difference of means (21:22)
124. Confidence interval for the difference of means: 3 questions
125. Hypothesis testing for the difference of means (17:57)
126. Hypothesis testing for the difference of means: 3 questions
127. Matched-pair hypothesis testing (21:33)
128. Matched-pair hypothesis testing: 3 questions
129. Confidence interval for the difference of proportions (10:24)
130. Confidence interval for the difference of proportions: 3 questions
131. Hypothesis testing for the difference of proportions (15:34)
132. Hypothesis testing for the difference of proportions: 3 questions
133. BONUS! Extra practice problems. (00:26)
134. Introduction to regression (01:07)
135. RESOURCE: Quiz solutions for this section (00:16)
136. Scatterplots and regression (15:50)
137. Scatterplots and regression: 3 questions
138. Correlation coefficient and the residual (23:02)
139. Correlation coefficient and the residual: 3 questions
140. Coefficient of determination and RMSE (16:49)
141. Coefficient of determination and RMSE: 3 questions
142. Chi-square tests (25:53)
143. Chi-square tests: 3 questions
144. BONUS! Extra practice problems. (00:26)
145. Practice final exam #1 (optional) (00:35)
146. Practice final exam #2 (optional) (00:35)
147. Probability & Statistics final exam (00:31)
148. Wrap-up (00:24)

Who is this course for?

1. Current probability and statistics students, or those about to start, who want to get ahead
2. Homeschool parents looking for extra support with teaching probability and statistics
3. Anyone wanting to enjoy studying math for fun, even after a long break from school

Click on the links below to Download Become a Probability & Statistics Master!