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[UdemyCourseDownloader] Statistics for Data Science and Business Analysis

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  • 文件大小:2GB
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  1. 17. Practical example regression analysis/1. Practical example regression analysis.mp4 129MB
  2. 10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 113MB
  3. 09. Practical example inferential statistics/1. Practical example inferential statistics.mp4 103MB
  4. 10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 92MB
  5. 03. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 73MB
  6. 12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 69MB
  7. 01. Introduction/1. What does the course cover.mp4 69MB
  8. 02. Sample or population data/1. Understanding the difference between a population and a sample.mp4 58MB
  9. 11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 56MB
  10. 03. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 54MB
  11. 11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 54MB
  12. 13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 51MB
  13. 04. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 51MB
  14. 11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 50MB
  15. 13. The fundamentals of regression analysis/11. A practical example - Reinforced learning.mp4 46MB
  16. 04. Measures of central tendency, asymmetry, and variability/8. Standard deviation and coefficient of variation.mp4 45MB
  17. 10. Hypothesis testing Introduction/6. Type I error vs Type II error.mp4 44MB
  18. 14. Subtleties of regression analysis/12. The adjusted R-squared.mp4 44MB
  19. 14. Subtleties of regression analysis/1. Decomposing the linear regression model - understanding its nuts and bolts.mp4 42MB
  20. 11. Hypothesis testing Let's start testing!/5. Test for the mean. Population variance unknown.mp4 40MB
  21. 15. Assumptions for linear regression analysis/7. A3. Normality and homoscedasticity.mp4 40MB
  22. 03. The fundamentals of descriptive statistics/14. Cross tables and scatter plots.mp4 40MB
  23. 03. The fundamentals of descriptive statistics/5. Categorical variables. Visualization techniques for categorical variables.mp4 38MB
  24. 16. Dealing with categorical data/1. Dummy variables.mp4 38MB
  25. 04. Measures of central tendency, asymmetry, and variability/1. The main measures of central tendency mean, median and mode.mp4 37MB
  26. 14. Subtleties of regression analysis/7. Studying regression tables.mp4 37MB
  27. 11. Hypothesis testing Let's start testing!/11. Test for the mean. Independent samples (Part 2).mp4 36MB
  28. 15. Assumptions for linear regression analysis/5. A2. No endogeneity.mp4 32MB
  29. 11. Hypothesis testing Let's start testing!/9. Test for the mean. Independent samples (Part 1).mp4 30MB
  30. 04. Measures of central tendency, asymmetry, and variability/14. The correlation coefficient.mp4 29MB
  31. 04. Measures of central tendency, asymmetry, and variability/11. Calculating and understanding covariance.mp4 27MB
  32. 15. Assumptions for linear regression analysis/11. A5. No multicollinearity.mp4 27MB
  33. 15. Assumptions for linear regression analysis/9. A4. No autocorrelation.mp4 26MB
  34. 03. The fundamentals of descriptive statistics/8. Numerical variables. Using a frequency distribution table.mp4 26MB
  35. 13. The fundamentals of regression analysis/3. Correlation and causation.mp4 26MB
  36. 14. Subtleties of regression analysis/5. The ordinary least squares setting and its practical applications.mp4 20MB
  37. 04. Measures of central tendency, asymmetry, and variability/3. Measuring skewness.mp4 19MB
  38. 13. The fundamentals of regression analysis/1. Introduction to regression analysis.mp4 19MB
  39. 15. Assumptions for linear regression analysis/1. OLS assumptions.mp4 19MB
  40. 14. Subtleties of regression analysis/10. The multiple linear regression model.mp4 19MB
  41. 14. Subtleties of regression analysis/14. What does the F-statistic show us and why do we need to understand it.mp4 14MB
  42. 03. The fundamentals of descriptive statistics/11. Histogram charts.mp4 14MB
  43. 13. The fundamentals of regression analysis/7. What is the difference between correlation and regression.mp4 13MB
  44. 15. Assumptions for linear regression analysis/3. A1. Linearity.mp4 12MB
  45. 13. The fundamentals of regression analysis/9. A geometrical representation of the linear regression model.mp4 5MB
  46. 09. Practical example inferential statistics/2.1 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx.xlsx 2MB
  47. 09. Practical example inferential statistics/1.1 3.17. Practical example. Confidence intervals_lesson.xlsx.xlsx 2MB
  48. 09. Practical example inferential statistics/2.2 3.17.Practical-example.Confidence-intervals-exercise.xlsx.xlsx 2MB
  49. 17. Practical example regression analysis/1.1 5.21. Regression_Analysis_practical_example.xlsx.xlsx 1MB
  50. 11. Hypothesis testing Let's start testing!/3.1 Online p-value calculator.pdf.pdf 1MB
  51. 10. Hypothesis testing Introduction/1.1 Course notes_hypothesis_testing.pdf.pdf 648KB
  52. 10. Hypothesis testing Introduction/4.1 Course notes_hypothesis_testing.pdf.pdf 648KB
  53. 02. Sample or population data/1.2 Course notes_descriptive_statistics.pdf.pdf 482KB
  54. 03. The fundamentals of descriptive statistics/1.1 Course notes_descriptive_statistics.pdf.pdf 482KB
  55. 03. The fundamentals of descriptive statistics/7.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf 289KB
  56. 03. The fundamentals of descriptive statistics/7.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf 289KB
  57. 03. The fundamentals of descriptive statistics/13.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf 289KB
  58. 12. Practical example hypothesis testing/1.1 4.10.Hypothesis-testing-section-practical-example.xlsx.xlsx 52KB
  59. 12. Practical example hypothesis testing/2.2 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx.xlsx 44KB
  60. 12. Practical example hypothesis testing/2.1 4.10. Hypothesis testing section_practical example_exercise.xlsx.xlsx 43KB
  61. 03. The fundamentals of descriptive statistics/7.3 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx 41KB
  62. 03. The fundamentals of descriptive statistics/16.1 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx 40KB
  63. 03. The fundamentals of descriptive statistics/16.2 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx 40KB
  64. 04. Measures of central tendency, asymmetry, and variability/3.1 2.8. Skewness_lesson.xlsx.xlsx 35KB
  65. 03. The fundamentals of descriptive statistics/5.1 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx.xlsx 31KB
  66. 04. Measures of central tendency, asymmetry, and variability/13.1 2.11. Covariance_exercise_solution.xlsx.xlsx 30KB
  67. 04. Measures of central tendency, asymmetry, and variability/13.2 2.11. Covariance_exercise_solution.xlsx.xlsx 30KB
  68. 04. Measures of central tendency, asymmetry, and variability/16.2 2.12. Correlation_exercise_solution.xlsx.xlsx 29KB
  69. 04. Measures of central tendency, asymmetry, and variability/16.1 2.12. Correlation_exercise.xlsx.xlsx 29KB
  70. 03. The fundamentals of descriptive statistics/14.1 2.6. Cross table and scatter plot.xlsx.xlsx 26KB
  71. 16. Dealing with categorical data/1.1 5.20. Dummy variables_lesson.xlsx.xlsx 25KB
  72. 04. Measures of central tendency, asymmetry, and variability/14.1 2.12. Correlation_lesson.xlsx.xlsx 25KB
  73. 04. Measures of central tendency, asymmetry, and variability/11.1 2.11. Covariance_lesson.xlsx.xlsx 25KB
  74. 13. The fundamentals of regression analysis/11.1 5.6. Example_lesson.xlsx.xlsx 24KB
  75. 01. Introduction/1.1 Statistics Glossary.xlsx.xlsx 20KB
  76. 04. Measures of central tendency, asymmetry, and variability/13.1 2.11. Covariance_exercise.xlsx.xlsx 20KB
  77. 04. Measures of central tendency, asymmetry, and variability/13.2 2.11. Covariance_exercise.xlsx.xlsx 20KB
  78. 02. Sample or population data/1.1 Glossary.xlsx.xlsx 20KB
  79. 04. Measures of central tendency, asymmetry, and variability/5.2 2.8. Skewness_exercise_solution.xlsx.xlsx 20KB
  80. 03. The fundamentals of descriptive statistics/11.1 2.5. The Histogram_lesson.xlsx.xlsx 19KB
  81. 14. Subtleties of regression analysis/12.1 5.12. Adjusted R-squared_lesson.xlsx.xlsx 18KB
  82. 03. The fundamentals of descriptive statistics/13.2 2.5.The-Histogram-exercise-solution.xlsx.xlsx 17KB
  83. 03. The fundamentals of descriptive statistics/13.3 2.5.The-Histogram-exercise-solution.xlsx.xlsx 17KB
  84. 03. The fundamentals of descriptive statistics/16.1 2.6. Cross table and scatter plot_exercise.xlsx.xlsx 16KB
  85. 03. The fundamentals of descriptive statistics/16.2 2.6. Cross table and scatter plot_exercise.xlsx.xlsx 16KB
  86. 17. Practical example regression analysis/1. Practical example regression analysis.vtt 16KB
  87. 03. The fundamentals of descriptive statistics/13.2 2.5. The Histogram_exercise.xlsx.xlsx 15KB
  88. 03. The fundamentals of descriptive statistics/13.3 2.5. The Histogram_exercise.xlsx.xlsx 15KB
  89. 03. The fundamentals of descriptive statistics/7.1 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx 15KB
  90. 03. The fundamentals of descriptive statistics/7.2 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx 15KB
  91. 11. Hypothesis testing Let's start testing!/5.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx.xlsx 15KB
  92. 11. Hypothesis testing Let's start testing!/8.1 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx.xlsx 14KB
  93. 11. Hypothesis testing Let's start testing!/8.2 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx.xlsx 14KB
  94. 03. The fundamentals of descriptive statistics/10.1 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx.xlsx 13KB
  95. 03. The fundamentals of descriptive statistics/10.2 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx.xlsx 13KB
  96. 11. Hypothesis testing Let's start testing!/8.1 4.7. Test for the mean. Dependent samples_exercise.xlsx.xlsx 13KB
  97. 11. Hypothesis testing Let's start testing!/8.2 4.7. Test for the mean. Dependent samples_exercise.xlsx.xlsx 13KB
  98. 11. Hypothesis testing Let's start testing!/6.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx.xlsx 13KB
  99. 11. Hypothesis testing Let's start testing!/6.2 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx.xlsx 13KB
  100. 14. Subtleties of regression analysis/7.1 5.10. Regression tables_lesson.xlsx.xlsx 13KB
  101. 14. Subtleties of regression analysis/9.1 5.10. Regression tables_exercise_solution.xlsx.xlsx 13KB
  102. 14. Subtleties of regression analysis/9.2 5.10. Regression tables_exercise_solution.xlsx.xlsx 13KB
  103. 09. Practical example inferential statistics/1. Practical example inferential statistics.vtt 12KB
  104. 04. Measures of central tendency, asymmetry, and variability/10.2 2.10. Standard deviation and coefficient of variation_exercise_solution.xlsx.xlsx 12KB
  105. 14. Subtleties of regression analysis/9.1 5.10. Regression tables_exercise.xlsx.xlsx 12KB
  106. 14. Subtleties of regression analysis/9.2 5.10. Regression tables_exercise.xlsx.xlsx 12KB
  107. 03. The fundamentals of descriptive statistics/10.1 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx 12KB
  108. 03. The fundamentals of descriptive statistics/10.2 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx 12KB
  109. 03. The fundamentals of descriptive statistics/8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx.xlsx 11KB
  110. 11. Hypothesis testing Let's start testing!/13.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx.xlsx 11KB
  111. 11. Hypothesis testing Let's start testing!/13.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx.xlsx 11KB
  112. 04. Measures of central tendency, asymmetry, and variability/2.2 2.7. Mean, median and mode_exercise_solution.xlsx.xlsx 11KB
  113. 11. Hypothesis testing Let's start testing!/6.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx.xlsx 11KB
  114. 11. Hypothesis testing Let's start testing!/6.2 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx.xlsx 11KB
  115. 04. Measures of central tendency, asymmetry, and variability/10.1 2.10. Standard deviation and coefficient of variation_exercise.xlsx.xlsx 11KB
  116. 11. Hypothesis testing Let's start testing!/10.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx.xlsx 11KB
  117. 11. Hypothesis testing Let's start testing!/2.1 4.4. Test for the mean. Population variance known_exercise_solution.xlsx.xlsx 11KB
  118. 11. Hypothesis testing Let's start testing!/2.2 4.4. Test for the mean. Population variance known_exercise_solution.xlsx.xlsx 11KB
  119. 04. Measures of central tendency, asymmetry, and variability/7.1 2.9. Variance_exercise_solution.xlsx.xlsx 11KB
  120. 04. Measures of central tendency, asymmetry, and variability/7.2 2.9. Variance_exercise_solution.xlsx.xlsx 11KB
  121. 11. Hypothesis testing Let's start testing!/2.1 4.4. Test for the mean. Population variance known_exercise.xlsx.xlsx 11KB
  122. 11. Hypothesis testing Let's start testing!/2.2 4.4. Test for the mean. Population variance known_exercise.xlsx.xlsx 11KB
  123. 04. Measures of central tendency, asymmetry, and variability/8.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx.xlsx 11KB
  124. 11. Hypothesis testing Let's start testing!/1.1 4.4. Test for the mean. Population variance known_lesson.xlsx.xlsx 11KB
  125. 04. Measures of central tendency, asymmetry, and variability/2.1 2.7. Mean, median and mode_exercise.xlsx.xlsx 11KB
  126. 04. Measures of central tendency, asymmetry, and variability/7.1 2.9. Variance_exercise.xlsx.xlsx 11KB
  127. 04. Measures of central tendency, asymmetry, and variability/7.2 2.9. Variance_exercise.xlsx.xlsx 11KB
  128. 11. Hypothesis testing Let's start testing!/10.2 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx.xlsx 11KB
  129. 13. The fundamentals of regression analysis/3.1 5.2. Correlation and causation_lesson.xlsx.xlsx 11KB
  130. 11. Hypothesis testing Let's start testing!/13.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx.xlsx 11KB
  131. 11. Hypothesis testing Let's start testing!/13.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx.xlsx 11KB
  132. 04. Measures of central tendency, asymmetry, and variability/1.1 2.7. Mean, median and mode_lesson.xlsx.xlsx 10KB
  133. 04. Measures of central tendency, asymmetry, and variability/6.1 2.9. Variance_lesson.xlsx.xlsx 10KB
  134. 11. Hypothesis testing Let's start testing!/7.1 4.7. Test for the mean. Dependent samples_lesson.xlsx.xlsx 10KB
  135. 11. Hypothesis testing Let's start testing!/9.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx.xlsx 10KB
  136. 04. Measures of central tendency, asymmetry, and variability/5.1 2.8. Skewness_exercise.xlsx.xlsx 9KB
  137. 11. Hypothesis testing Let's start testing!/11.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx.xlsx 9KB
  138. 10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.vtt 8KB
  139. 12. Practical example hypothesis testing/1. Practical example hypothesis testing.vtt 8KB
  140. 11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.vtt 7KB
  141. 04. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.vtt 7KB
  142. 13. The fundamentals of regression analysis/11. A practical example - Reinforced learning.vtt 7KB
  143. 13. The fundamentals of regression analysis/5. The linear regression model made easy.vtt 6KB
  144. 10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.vtt 6KB
  145. 03. The fundamentals of descriptive statistics/14. Cross tables and scatter plots.vtt 6KB
  146. 14. Subtleties of regression analysis/12. The adjusted R-squared.vtt 6KB
  147. 15. Assumptions for linear regression analysis/7. A3. Normality and homoscedasticity.vtt 6KB
  148. 03. The fundamentals of descriptive statistics/5. Categorical variables. Visualization techniques for categorical variables.vtt 6KB
  149. 14. Subtleties of regression analysis/3. What is R-squared and how does it help us.vtt 6KB
  150. 11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.vtt 6KB
  151. 16. Dealing with categorical data/1. Dummy variables.vtt 6KB
  152. 04. Measures of central tendency, asymmetry, and variability/8. Standard deviation and coefficient of variation.vtt 6KB
  153. 03. The fundamentals of descriptive statistics/1. The various types of data we can work with.vtt 5KB
  154. 14. Subtleties of regression analysis/7. Studying regression tables.vtt 5KB
  155. 11. Hypothesis testing Let's start testing!/5. Test for the mean. Population variance unknown.vtt 5KB
  156. 04. Measures of central tendency, asymmetry, and variability/1. The main measures of central tendency mean, median and mode.vtt 5KB
  157. 01. Introduction/1. What does the course cover.vtt 5KB
  158. 13. The fundamentals of regression analysis/3. Correlation and causation.vtt 5KB
  159. 10. Hypothesis testing Introduction/6. Type I error vs Type II error.vtt 5KB
  160. 11. Hypothesis testing Let's start testing!/9. Test for the mean. Independent samples (Part 1).vtt 5KB
  161. 02. Sample or population data/1. Understanding the difference between a population and a sample.vtt 5KB
  162. 15. Assumptions for linear regression analysis/5. A2. No endogeneity.vtt 5KB
  163. 11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.vtt 5KB
  164. 11. Hypothesis testing Let's start testing!/11. Test for the mean. Independent samples (Part 2).vtt 5KB
  165. 04. Measures of central tendency, asymmetry, and variability/11. Calculating and understanding covariance.vtt 5KB
  166. 04. Measures of central tendency, asymmetry, and variability/14. The correlation coefficient.vtt 4KB
  167. 03. The fundamentals of descriptive statistics/3. Levels of measurement.vtt 4KB
  168. 15. Assumptions for linear regression analysis/11. A5. No multicollinearity.vtt 4KB
  169. 15. Assumptions for linear regression analysis/9. A4. No autocorrelation.vtt 4KB
  170. 03. The fundamentals of descriptive statistics/8. Numerical variables. Using a frequency distribution table.vtt 4KB
  171. 14. Subtleties of regression analysis/1. Decomposing the linear regression model - understanding its nuts and bolts.vtt 4KB
  172. 18. Bonus lecture/1. Bonus lecture Next steps.html 4KB
  173. 04. Measures of central tendency, asymmetry, and variability/3. Measuring skewness.vtt 3KB
  174. 14. Subtleties of regression analysis/10. The multiple linear regression model.vtt 3KB
  175. 03. The fundamentals of descriptive statistics/11. Histogram charts.vtt 3KB
  176. 15. Assumptions for linear regression analysis/1. OLS assumptions.vtt 3KB
  177. 14. Subtleties of regression analysis/5. The ordinary least squares setting and its practical applications.vtt 3KB
  178. 10. Hypothesis testing Introduction/2. Further reading on null and alternative hypotheses.html 2KB
  179. 14. Subtleties of regression analysis/14. What does the F-statistic show us and why do we need to understand it.vtt 2KB
  180. 15. Assumptions for linear regression analysis/3. A1. Linearity.vtt 2KB
  181. 13. The fundamentals of regression analysis/7. What is the difference between correlation and regression.vtt 2KB
  182. 13. The fundamentals of regression analysis/9. A geometrical representation of the linear regression model.vtt 2KB
  183. 13. The fundamentals of regression analysis/1. Introduction to regression analysis.vtt 1KB
  184. 01. Introduction/2. Download all resources.html 712B
  185. 03. The fundamentals of descriptive statistics/6. Categorical variables. Visualization Techniques.html 153B
  186. 03. The fundamentals of descriptive statistics/9. Numerical variables. Using a frequency distribution table.html 153B
  187. 03. The fundamentals of descriptive statistics/12. Histogram charts.html 153B
  188. 03. The fundamentals of descriptive statistics/15. Cross Tables and Scatter Plots.html 153B
  189. 04. Measures of central tendency, asymmetry, and variability/4. Skewness.html 153B
  190. 04. Measures of central tendency, asymmetry, and variability/9. Standard deviation.html 153B
  191. 04. Measures of central tendency, asymmetry, and variability/12. Calculating and understanding covariance.html 153B
  192. 04. Measures of central tendency, asymmetry, and variability/15. Correlation.html 153B
  193. 11. Hypothesis testing Let's start testing!/12. Test for the mean. Independent samples (Part 2).html 153B
  194. 13. The fundamentals of regression analysis/4. Correlation and causation.html 153B
  195. 13. The fundamentals of regression analysis/10. A geometrical representation of the linear regression model.html 153B
  196. 14. Subtleties of regression analysis/6. The ordinary least squares setting and its practical applications.html 153B
  197. 14. Subtleties of regression analysis/8. Studying regression tables.html 153B
  198. 14. Subtleties of regression analysis/11. The multiple linear regression model.html 153B
  199. 15. Assumptions for linear regression analysis/4. A1. Linearity.html 153B
  200. 15. Assumptions for linear regression analysis/8. A3. Normality and homoscedasticity.html 153B
  201. 02. Sample or population data/2. Population vs sample.html 152B
  202. 03. The fundamentals of descriptive statistics/2. Types of data.html 152B
  203. 03. The fundamentals of descriptive statistics/4. Levels of measurement.html 152B
  204. 10. Hypothesis testing Introduction/3. Null vs alternative.html 152B
  205. 10. Hypothesis testing Introduction/5. Rejection region and significance level.html 152B
  206. 10. Hypothesis testing Introduction/7. Type I error vs type II error.html 152B
  207. 11. Hypothesis testing Let's start testing!/4. p-value.html 152B
  208. 13. The fundamentals of regression analysis/2. Introduction.html 152B
  209. 13. The fundamentals of regression analysis/6. The linear regression model.html 152B
  210. 13. The fundamentals of regression analysis/8. Correlation vs regression.html 152B
  211. 14. Subtleties of regression analysis/2. Decomposition.html 152B
  212. 14. Subtleties of regression analysis/4. R-squared.html 152B
  213. 14. Subtleties of regression analysis/13. The adjusted R-squared.html 152B
  214. 15. Assumptions for linear regression analysis/2. OLS assumptions.html 152B
  215. 15. Assumptions for linear regression analysis/6. A2. No endogeneity.html 152B
  216. 15. Assumptions for linear regression analysis/10. A4. No autocorrelation.html 152B
  217. 15. Assumptions for linear regression analysis/12. A5. No multicollinearity.html 152B
  218. udemycoursedownloader.com.url 132B
  219. Udemy Course downloader.txt 94B
  220. 11. Hypothesis testing Let's start testing!/2. Test for the mean. Population variance known. Exercise.html 86B
  221. 11. Hypothesis testing Let's start testing!/6. Test for the mean. Population variance unknown. Exercise.html 86B
  222. 11. Hypothesis testing Let's start testing!/8. Test for the mean. Dependent samples. Exercise.html 86B
  223. 12. Practical example hypothesis testing/2. Practical example hypothesis testing.html 86B
  224. 14. Subtleties of regression analysis/9. Regression tables. Exercise.html 86B
  225. 11. Hypothesis testing Let's start testing!/10. Test for the mean. Independent samples (Part 1).html 82B
  226. 11. Hypothesis testing Let's start testing!/13. Test for the mean. Independent samples (Part 2). Exercise.html 82B
  227. 03. The fundamentals of descriptive statistics/7. Categorical variables. Visualization techniques. Exercise.html 81B
  228. 03. The fundamentals of descriptive statistics/10. Numerical variables. Using a frequency distribution table. Exercise.html 81B
  229. 03. The fundamentals of descriptive statistics/13. Histogram charts. Exercise.html 81B
  230. 03. The fundamentals of descriptive statistics/16. Cross tables and scatter plots. Exercise.html 81B
  231. 04. Measures of central tendency, asymmetry, and variability/2. Mean, median and mode. Exercise.html 81B
  232. 04. Measures of central tendency, asymmetry, and variability/5. Skewness. Exercise.html 81B
  233. 04. Measures of central tendency, asymmetry, and variability/7. Variance. Exercise.html 81B
  234. 04. Measures of central tendency, asymmetry, and variability/10. Standard deviation and coefficient of variation. Exercise.html 81B
  235. 04. Measures of central tendency, asymmetry, and variability/13. Covariance. Exercise.html 81B
  236. 04. Measures of central tendency, asymmetry, and variability/16. Correlation coefficient.html 81B
  237. 09. Practical example inferential statistics/2. Practical example inferential statistics.html 81B