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[Udemy] Statistics for Data Science and Business Analysis (2020)

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  1. 05 Practical example descriptive statistics/026 Practical example.mp4 160MB
  2. 17 Practical example regression analysis/091 Practical example regression analysis.mp4 129MB
  3. 09 Practical example inferential statistics/051 Practical example inferential statistics.mp4 103MB
  4. 10 Hypothesis testing Introduction/053 The null and the alternative hypothesis.mp4 92MB
  5. 10 Hypothesis testing Introduction/055 Establishing a rejection region and a significance level.mp4 83MB
  6. 07 Estimators and estimates/037 Calculating confidence intervals within a population with a known variance.mp4 78MB
  7. 03 The fundamentals of descriptive statistics/004 The various types of data we can work with.mp4 73MB
  8. 08 Confidence intervals advanced topics/044 Calculating confidence intervals for two means with dependent samples.mp4 70MB
  9. 12 Practical example hypothesis testing/068 Practical example hypothesis testing.mp4 69MB
  10. 01 Introduction/001 What does the course cover.mp4 69MB
  11. 06 Distributions/033 Understanding the central limit theorem.mp4 63MB
  12. 06 Distributions/029 What is a distribution.mp4 62MB
  13. 02 Sample or population data/003 Understanding the difference between a population and a sample.mp4 58MB
  14. 07 Estimators and estimates/039 Confidence interval clarifications.mp4 57MB
  15. 11 Hypothesis testing Lets start testing/059 What is the p-value and why is it one of the most useful tools for statisticians.mp4 56MB
  16. 03 The fundamentals of descriptive statistics/005 Levels of measurement.mp4 54MB
  17. 11 Hypothesis testing Lets start testing/057 Test for the mean. Population variance known.mp4 54MB
  18. 13 The fundamentals of regression analysis/072 The linear regression model made easy.mp4 51MB
  19. 04 Measures of central tendency asymmetry and variability/018 Measuring how data is spread out calculating variance.mp4 51MB
  20. 11 Hypothesis testing Lets start testing/062 Test for the mean. Dependent samples.mp4 50MB
  21. 07 Estimators and estimates/036 Confidence intervals - an invaluable tool for decision making.mp4 50MB
  22. 06 Distributions/030 The Normal distribution.mp4 50MB
  23. 07 Estimators and estimates/035 Working with estimators and estimates.mp4 48MB
  24. 07 Estimators and estimates/043 What is a margin of error and why is it important in Statistics.mp4 47MB
  25. 13 The fundamentals of regression analysis/075 A practical example - Reinforced learning.mp4 46MB
  26. 04 Measures of central tendency asymmetry and variability/020 Standard deviation and coefficient of variation.mp4 45MB
  27. 10 Hypothesis testing Introduction/056 Type I error vs Type II error.mp4 44MB
  28. 14 Subtleties of regression analysis/082 The adjusted R-squared.mp4 44MB
  29. 14 Subtleties of regression analysis/076 Decomposing the linear regression model - understanding its nuts and bolts.mp4 42MB
  30. 11 Hypothesis testing Lets start testing/060 Test for the mean. Population variance unknown.mp4 40MB
  31. 15 Assumptions for linear regression analysis/087 A3. Normality and homoscedasticity.mp4 40MB
  32. 03 The fundamentals of descriptive statistics/012 Cross tables and scatter plots.mp4 40MB
  33. 03 The fundamentals of descriptive statistics/006 Categorical variables. Visualization techniques for categorical variables.mp4 38MB
  34. 16 Dealing with categorical data/090 Dummy variables.mp4 38MB
  35. 04 Measures of central tendency asymmetry and variability/014 The main measures of central tendency mean median and mode.mp4 37MB
  36. 14 Subtleties of regression analysis/079 Studying regression tables.mp4 37MB
  37. 14 Subtleties of regression analysis/077 What is R-squared and how does it help us.mp4 36MB
  38. 11 Hypothesis testing Lets start testing/066 Test for the mean. Independent samples (Part 2).mp4 36MB
  39. 07 Estimators and estimates/040 Students T distribution.mp4 35MB
  40. 15 Assumptions for linear regression analysis/086 A2. No endogeneity.mp4 32MB
  41. 07 Estimators and estimates/041 Calculating confidence intervals within a population with an unknown variance.mp4 32MB
  42. 11 Hypothesis testing Lets start testing/064 Test for the mean. Independent samples (Part 1).mp4 30MB
  43. 04 Measures of central tendency asymmetry and variability/024 The correlation coefficient.mp4 29MB
  44. 08 Confidence intervals advanced topics/046 Calculating confidence intervals for two means with independent samples (part 1).mp4 29MB
  45. 04 Measures of central tendency asymmetry and variability/022 Calculating and understanding covariance.mp4 27MB
  46. 08 Confidence intervals advanced topics/048 Calculating confidence intervals for two means with independent samples (part 2).mp4 27MB
  47. 15 Assumptions for linear regression analysis/089 A5. No multicollinearity.mp4 27MB
  48. 15 Assumptions for linear regression analysis/088 A4. No autocorrelation.mp4 26MB
  49. 03 The fundamentals of descriptive statistics/008 Numerical variables. Using a frequency distribution table.mp4 26MB
  50. 13 The fundamentals of regression analysis/071 Correlation and causation.mp4 26MB
  51. 06 Distributions/034 Standard error.mp4 23MB
  52. 06 Distributions/031 The standard normal distribution.mp4 22MB
  53. 14 Subtleties of regression analysis/078 The ordinary least squares setting and its practical applications.mp4 20MB
  54. 08 Confidence intervals advanced topics/050 Calculating confidence intervals for two means with independent samples (part 3).mp4 20MB
  55. 04 Measures of central tendency asymmetry and variability/016 Measuring skewness.mp4 19MB
  56. 13 The fundamentals of regression analysis/070 Introduction to regression analysis.mp4 19MB
  57. 15 Assumptions for linear regression analysis/084 OLS assumptions.mp4 19MB
  58. 14 Subtleties of regression analysis/081 The multiple linear regression model.mp4 19MB
  59. 06 Distributions/028 Introduction to inferential statistics.mp4 15MB
  60. 14 Subtleties of regression analysis/083 What does the F-statistic show us and why do we need to understand it.mp4 14MB
  61. 03 The fundamentals of descriptive statistics/010 Histogram charts.mp4 14MB
  62. 13 The fundamentals of regression analysis/073 What is the difference between correlation and regression.mp4 13MB
  63. 15 Assumptions for linear regression analysis/085 A1. Linearity.mp4 12MB
  64. 13 The fundamentals of regression analysis/074 A geometrical representation of the linear regression model.mp4 5MB
  65. 09 Practical example inferential statistics/052 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx 2MB
  66. 09 Practical example inferential statistics/051 3.17.Practical-example.Confidence-intervals-lesson.xlsx 2MB
  67. 09 Practical example inferential statistics/052 3.17.Practical-example.Confidence-intervals-exercise.xlsx 2MB
  68. 17 Practical example regression analysis/091 5.21.Regression-Analysis-practical-example.xlsx 1MB
  69. 11 Hypothesis testing Lets start testing/059 Online-p-value-calculator.pdf 1MB
  70. 10 Hypothesis testing Introduction/053 Course-notes-hypothesis-testing.pdf 648KB
  71. 10 Hypothesis testing Introduction/055 Course-notes-hypothesis-testing.pdf 648KB
  72. 02 Sample or population data/003 Course-notes-descriptive-statistics.pdf 482KB
  73. 03 The fundamentals of descriptive statistics/004 Course-notes-descriptive-statistics.pdf 482KB
  74. 06 Distributions/028 Course-notes-inferential-statistics.pdf 382KB
  75. 06 Distributions/029 Course-notes-inferential-statistics.pdf 382KB
  76. 03 The fundamentals of descriptive statistics/007 Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf 289KB
  77. 03 The fundamentals of descriptive statistics/011 Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf 289KB
  78. 05 Practical example descriptive statistics/026 2.13.Practical-example.Descriptive-statistics-lesson.xlsx 147KB
  79. 05 Practical example descriptive statistics/027 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx 146KB
  80. 05 Practical example descriptive statistics/027 2.13.Practical-example.Descriptive-statistics-exercise.xlsx 120KB
  81. 12 Practical example hypothesis testing/068 4.10.Hypothesis-testing-section-practical-example.xlsx 52KB
  82. 12 Practical example hypothesis testing/069 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx 44KB
  83. 12 Practical example hypothesis testing/069 4.10.Hypothesis-testing-section-practical-example-exercise.xlsx 43KB
  84. 03 The fundamentals of descriptive statistics/007 2.3.Categorical-variables.Visualization-techniques-exercise-solution.xlsx 41KB
  85. 03 The fundamentals of descriptive statistics/013 2.6.Cross-table-and-scatter-plot-exercise-solution.xlsx 40KB
  86. 04 Measures of central tendency asymmetry and variability/016 2.8.Skewness-lesson.xlsx 35KB
  87. 03 The fundamentals of descriptive statistics/006 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx 31KB
  88. 04 Measures of central tendency asymmetry and variability/023 2.11.Covariance-exercise-solution.xlsx 30KB
  89. 04 Measures of central tendency asymmetry and variability/025 2.12.Correlation-exercise-solution.xlsx 29KB
  90. 04 Measures of central tendency asymmetry and variability/025 2.12.Correlation-exercise.xlsx 29KB
  91. 03 The fundamentals of descriptive statistics/012 2.6.Cross-table-and-scatter-plot.xlsx 26KB
  92. 07 Estimators and estimates/037 3.9.The-z-table.xlsx 26KB
  93. 07 Estimators and estimates/038 3.9.The-z-table.xlsx 26KB
  94. 16 Dealing with categorical data/090 5.20.Dummy-variables-lesson.xlsx 25KB
  95. 04 Measures of central tendency asymmetry and variability/024 2.12.Correlation-lesson.xlsx 25KB
  96. 04 Measures of central tendency asymmetry and variability/022 2.11.Covariance-lesson.xlsx 25KB
  97. 06 Distributions/032 3.4.Standard-normal-distribution-exercise-solution.xlsx 24KB
  98. 13 The fundamentals of regression analysis/075 5.6.Example-lesson.xlsx 24KB
  99. 01 Introduction/001 Statistics-Glossary.xlsx 20KB
  100. 04 Measures of central tendency asymmetry and variability/023 2.11.Covariance-exercise.xlsx 20KB
  101. 02 Sample or population data/003 Glossary.xlsx 20KB
  102. 04 Measures of central tendency asymmetry and variability/017 2.8.Skewness-exercise-solution.xlsx 20KB
  103. 06 Distributions/029 3.2.What-is-a-distribution-lesson.xlsx 19KB
  104. 05 Practical example descriptive statistics/026 Practical example.en.srt 19KB
  105. 03 The fundamentals of descriptive statistics/010 2.5.The-Histogram-lesson.xlsx 19KB
  106. 14 Subtleties of regression analysis/082 5.12.Adjusted-R-squared-lesson.xlsx 18KB
  107. 17 Practical example regression analysis/091 Practical example regression analysis.en.srt 17KB
  108. 03 The fundamentals of descriptive statistics/011 2.5.The-Histogram-exercise-solution.xlsx 17KB
  109. 03 The fundamentals of descriptive statistics/013 2.6.Cross-table-and-scatter-plot-exercise.xlsx 16KB
  110. 07 Estimators and estimates/041 3.11.The-t-table.xlsx 16KB
  111. 07 Estimators and estimates/042 3.11.The-t-table.xlsx 16KB
  112. 03 The fundamentals of descriptive statistics/011 2.5.The-Histogram-exercise.xlsx 15KB
  113. 03 The fundamentals of descriptive statistics/007 2.3.Categorical-variables.Visualization-techniques-exercise.xlsx 15KB
  114. 11 Hypothesis testing Lets start testing/060 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx 15KB
  115. 11 Hypothesis testing Lets start testing/063 4.7.Test-for-the-mean.Dependent-samples-exercise-solution.xlsx 14KB
  116. 08 Confidence intervals advanced topics/045 3.13.Confidence-intervals.Two-means.Dependent-samples-exercise-solution.xlsx 14KB
  117. 08 Confidence intervals advanced topics/045 3.13.Confidence-intervals.Two-means.Dependent-samples-exercise.xlsx 14KB
  118. 03 The fundamentals of descriptive statistics/009 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx 13KB
  119. 09 Practical example inferential statistics/051 Practical example inferential statistics.en.srt 13KB
  120. 11 Hypothesis testing Lets start testing/063 4.7.Test-for-the-mean.Dependent-samples-exercise.xlsx 13KB
  121. 11 Hypothesis testing Lets start testing/061 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx 13KB
  122. 04 Measures of central tendency asymmetry and variability/021 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx 13KB
  123. 14 Subtleties of regression analysis/079 5.10.Regression-tables-lesson.xlsx 13KB
  124. 14 Subtleties of regression analysis/080 5.10.Regression-tables-exercise-solution.xlsx 13KB
  125. 14 Subtleties of regression analysis/080 5.10.Regression-tables-exercise.xlsx 12KB
  126. 06 Distributions/032 3.4.Standard-normal-distribution-exercise.xlsx 12KB
  127. 03 The fundamentals of descriptive statistics/009 2.4.Numerical-variables.Frequency-distribution-table-exercise.xlsx 12KB
  128. 04 Measures of central tendency asymmetry and variability/021 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx 12KB
  129. 03 The fundamentals of descriptive statistics/008 2.4.Numerical-variables.Frequency-distribution-table-lesson.xlsx 11KB
  130. 11 Hypothesis testing Lets start testing/067 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx 11KB
  131. 04 Measures of central tendency asymmetry and variability/015 2.7.Mean-median-and-mode-exercise-solution.xlsx 11KB
  132. 11 Hypothesis testing Lets start testing/061 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx 11KB
  133. 11 Hypothesis testing Lets start testing/065 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx 11KB
  134. 11 Hypothesis testing Lets start testing/058 4.4.Test-for-the-mean.Population-variance-known-exercise-solution.xlsx 11KB
  135. 07 Estimators and estimates/037 3.9.Population-variance-known-z-score-lesson.xlsx 11KB
  136. 07 Estimators and estimates/038 3.9.Population-variance-known-z-score-exercise-solution.xlsx 11KB
  137. 07 Estimators and estimates/042 3.11.Population-variance-unknown-t-score-exercise-solution.xlsx 11KB
  138. 04 Measures of central tendency asymmetry and variability/019 2.9.Variance-exercise-solution.xlsx 11KB
  139. 11 Hypothesis testing Lets start testing/058 4.4.Test-for-the-mean.Population-variance-known-exercise.xlsx 11KB
  140. 04 Measures of central tendency asymmetry and variability/020 2.10.Standard-deviation-and-coefficient-of-variation-lesson.xlsx 11KB
  141. 11 Hypothesis testing Lets start testing/057 4.4.Test-for-the-mean.Population-variance-known-lesson.xlsx 11KB
  142. 04 Measures of central tendency asymmetry and variability/015 2.7.Mean-median-and-mode-exercise.xlsx 11KB
  143. 07 Estimators and estimates/038 3.9.Population-variance-known-z-score-exercise.xlsx 11KB
  144. 04 Measures of central tendency asymmetry and variability/019 2.9.Variance-exercise.xlsx 11KB
  145. 07 Estimators and estimates/041 3.11.Population-variance-unknown-t-score-lesson.xlsx 11KB
  146. 11 Hypothesis testing Lets start testing/065 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx 11KB
  147. 13 The fundamentals of regression analysis/071 5.2.Correlation-and-causation-lesson.xlsx 11KB
  148. 07 Estimators and estimates/042 3.11.Population-variance-unknown-t-score-exercise.xlsx 11KB
  149. 11 Hypothesis testing Lets start testing/067 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx 11KB
  150. 04 Measures of central tendency asymmetry and variability/014 2.7.Mean-median-and-mode-lesson.xlsx 10KB
  151. 08 Confidence intervals advanced topics/044 3.13.Confidence-intervals.Two-means.Dependent-samples-lesson.xlsx 10KB
  152. 06 Distributions/031 3.4.Standard-normal-distribution-lesson.xlsx 10KB
  153. 08 Confidence intervals advanced topics/047 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-exercise-solution.xlsx 10KB
  154. 04 Measures of central tendency asymmetry and variability/018 2.9.Variance-lesson.xlsx 10KB
  155. 08 Confidence intervals advanced topics/046 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-lesson.xlsx 10KB
  156. 08 Confidence intervals advanced topics/047 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-exercise.xlsx 10KB
  157. 08 Confidence intervals advanced topics/049 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-exercise-solution.xlsx 10KB
  158. 11 Hypothesis testing Lets start testing/062 4.7.Test-for-the-mean.Dependent-samples-lesson.xlsx 10KB
  159. 11 Hypothesis testing Lets start testing/064 4.8.Test-for-the-mean.Independent-samples-Part-1-lesson.xlsx 10KB
  160. 08 Confidence intervals advanced topics/048 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-lesson.xlsx 10KB
  161. 04 Measures of central tendency asymmetry and variability/017 2.8.Skewness-exercise.xlsx 9KB
  162. 11 Hypothesis testing Lets start testing/066 4.9.Test-for-the-mean.Independent-samples-Part-2-lesson.xlsx 9KB
  163. 08 Confidence intervals advanced topics/049 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-exercise.xlsx 9KB
  164. 07 Estimators and estimates/037 Calculating confidence intervals within a population with a known variance.en.srt 9KB
  165. 10 Hypothesis testing Introduction/055 Establishing a rejection region and a significance level.en.srt 9KB
  166. 12 Practical example hypothesis testing/068 Practical example hypothesis testing.en.srt 8KB
  167. 08 Confidence intervals advanced topics/044 Calculating confidence intervals for two means with dependent samples.en.srt 8KB
  168. 13 The fundamentals of regression analysis/075 A practical example - Reinforced learning.en.srt 7KB
  169. 11 Hypothesis testing Lets start testing/057 Test for the mean. Population variance known.en.srt 7KB
  170. 04 Measures of central tendency asymmetry and variability/018 Measuring how data is spread out calculating variance.en.srt 7KB
  171. 13 The fundamentals of regression analysis/072 The linear regression model made easy.en.srt 7KB
  172. 10 Hypothesis testing Introduction/053 The null and the alternative hypothesis.en.srt 7KB
  173. 15 Assumptions for linear regression analysis/087 A3. Normality and homoscedasticity.en.srt 7KB
  174. 14 Subtleties of regression analysis/082 The adjusted R-squared.en.srt 7KB
  175. 03 The fundamentals of descriptive statistics/012 Cross tables and scatter plots.en.srt 6KB
  176. 14 Subtleties of regression analysis/077 What is R-squared and how does it help us.en.srt 6KB
  177. 03 The fundamentals of descriptive statistics/006 Categorical variables. Visualization techniques for categorical variables.en.srt 6KB
  178. 07 Estimators and estimates/043 What is a margin of error and why is it important in Statistics.en.srt 6KB
  179. 16 Dealing with categorical data/090 Dummy variables.en.srt 6KB
  180. 11 Hypothesis testing Lets start testing/062 Test for the mean. Dependent samples.en.srt 6KB
  181. 14 Subtleties of regression analysis/079 Studying regression tables.en.srt 6KB
  182. 03 The fundamentals of descriptive statistics/004 The various types of data we can work with.en.srt 6KB
  183. 04 Measures of central tendency asymmetry and variability/020 Standard deviation and coefficient of variation.en.srt 6KB
  184. 08 Confidence intervals advanced topics/046 Calculating confidence intervals for two means with independent samples (part 1).en.srt 6KB
  185. 13 The fundamentals of regression analysis/071 Correlation and causation.en.srt 6KB
  186. 01 Introduction/001 What does the course cover.en.srt 6KB
  187. 06 Distributions/029 What is a distribution.en.srt 6KB
  188. 02 Sample or population data/003 Understanding the difference between a population and a sample.en.srt 5KB
  189. 11 Hypothesis testing Lets start testing/060 Test for the mean. Population variance unknown.en.srt 5KB
  190. 04 Measures of central tendency asymmetry and variability/014 The main measures of central tendency mean median and mode.en.srt 5KB
  191. 06 Distributions/033 Understanding the central limit theorem.en.srt 5KB
  192. 07 Estimators and estimates/039 Confidence interval clarifications.en.srt 5KB
  193. 15 Assumptions for linear regression analysis/086 A2. No endogeneity.en.srt 5KB
  194. 10 Hypothesis testing Introduction/056 Type I error vs Type II error.en.srt 5KB
  195. 11 Hypothesis testing Lets start testing/066 Test for the mean. Independent samples (Part 2).en.srt 5KB
  196. 11 Hypothesis testing Lets start testing/064 Test for the mean. Independent samples (Part 1).en.srt 5KB
  197. 07 Estimators and estimates/041 Calculating confidence intervals within a population with an unknown variance.en.srt 5KB
  198. 11 Hypothesis testing Lets start testing/059 What is the p-value and why is it one of the most useful tools for statisticians.en.srt 5KB
  199. 06 Distributions/030 The Normal distribution.en.srt 5KB
  200. 15 Assumptions for linear regression analysis/089 A5. No multicollinearity.en.srt 5KB
  201. 04 Measures of central tendency asymmetry and variability/022 Calculating and understanding covariance.en.srt 5KB
  202. 15 Assumptions for linear regression analysis/088 A4. No autocorrelation.en.srt 4KB
  203. 04 Measures of central tendency asymmetry and variability/024 The correlation coefficient.en.srt 4KB
  204. 03 The fundamentals of descriptive statistics/005 Levels of measurement.en.srt 4KB
  205. 08 Confidence intervals advanced topics/048 Calculating confidence intervals for two means with independent samples (part 2).en.srt 4KB
  206. 14 Subtleties of regression analysis/076 Decomposing the linear regression model - understanding its nuts and bolts.en.srt 4KB
  207. 03 The fundamentals of descriptive statistics/008 Numerical variables. Using a frequency distribution table.en.srt 4KB
  208. 07 Estimators and estimates/040 Students T distribution.en.srt 4KB
  209. 06 Distributions/031 The standard normal distribution.en.srt 4KB
  210. 07 Estimators and estimates/035 Working with estimators and estimates.en.srt 4KB
  211. 04 Measures of central tendency asymmetry and variability/016 Measuring skewness.en.srt 3KB
  212. 14 Subtleties of regression analysis/081 The multiple linear regression model.en.srt 3KB
  213. 10 Hypothesis testing Introduction/054 Further reading on null and alternative hypotheses.html 3KB
  214. 15 Assumptions for linear regression analysis/084 OLS assumptions.en.srt 3KB
  215. 03 The fundamentals of descriptive statistics/010 Histogram charts.en.srt 3KB
  216. 07 Estimators and estimates/036 Confidence intervals - an invaluable tool for decision making.en.srt 3KB
  217. 14 Subtleties of regression analysis/078 The ordinary least squares setting and its practical applications.en.srt 3KB
  218. 14 Subtleties of regression analysis/083 What does the F-statistic show us and why do we need to understand it.en.srt 3KB
  219. 15 Assumptions for linear regression analysis/085 A1. Linearity.en.srt 2KB
  220. 13 The fundamentals of regression analysis/073 What is the difference between correlation and regression.en.srt 2KB
  221. 06 Distributions/034 Standard error.en.srt 2KB
  222. 08 Confidence intervals advanced topics/050 Calculating confidence intervals for two means with independent samples (part 3).en.srt 2KB
  223. 13 The fundamentals of regression analysis/074 A geometrical representation of the linear regression model.en.srt 2KB
  224. 06 Distributions/028 Introduction to inferential statistics.en.srt 2KB
  225. 01 Introduction/002 Download all resources.html 2KB
  226. 13 The fundamentals of regression analysis/070 Introduction to regression analysis.en.srt 2KB
  227. 08 Confidence intervals advanced topics/047 Confidence intervals. Two means. Independent samples (Part 1). Exercise.html 993B
  228. 08 Confidence intervals advanced topics/049 Confidence intervals. Two means. Independent samples (Part 2). Exercise.html 993B
  229. 03 The fundamentals of descriptive statistics/009 Numerical variables. Using a frequency distribution table. Exercise.html 989B
  230. 11 Hypothesis testing Lets start testing/061 Test for the mean. Population variance unknown. Exercise.html 983B
  231. 08 Confidence intervals advanced topics/045 Confidence intervals. Two means. Dependent samples. Exercise.html 982B
  232. 11 Hypothesis testing Lets start testing/058 Test for the mean. Population variance known. Exercise.html 981B
  233. 11 Hypothesis testing Lets start testing/067 Test for the mean. Independent samples (Part 2). Exercise.html 980B
  234. 03 The fundamentals of descriptive statistics/007 Categorical variables. Visualization techniques. Exercise.html 979B
  235. 04 Measures of central tendency asymmetry and variability/021 Standard deviation and coefficient of variation. Exercise.html 979B
  236. 07 Estimators and estimates/038 Confidence intervals. Population variance known. Exercise.html 979B
  237. 11 Hypothesis testing Lets start testing/063 Test for the mean. Dependent samples. Exercise.html 973B
  238. 11 Hypothesis testing Lets start testing/065 Test for the mean. Independent samples (Part 1).html 970B
  239. 07 Estimators and estimates/042 Population variance unknown. T-score. Exercise.html 968B
  240. 12 Practical example hypothesis testing/069 Practical example hypothesis testing.html 963B
  241. 03 The fundamentals of descriptive statistics/013 Cross tables and scatter plots. Exercise.html 962B
  242. 05 Practical example descriptive statistics/027 Practical example descriptive statistics.html 962B
  243. 09 Practical example inferential statistics/052 Practical example inferential statistics.html 962B
  244. 06 Distributions/032 Standard Normal Distribution. Exercise.html 960B
  245. 14 Subtleties of regression analysis/080 Regression tables. Exercise.html 954B
  246. 04 Measures of central tendency asymmetry and variability/015 Mean median and mode. Exercise.html 952B
  247. 03 The fundamentals of descriptive statistics/011 Histogram charts. Exercise.html 948B
  248. 04 Measures of central tendency asymmetry and variability/025 Correlation coefficient.html 945B
  249. 04 Measures of central tendency asymmetry and variability/023 Covariance. Exercise.html 942B
  250. 04 Measures of central tendency asymmetry and variability/017 Skewness. Exercise.html 940B
  251. 04 Measures of central tendency asymmetry and variability/019 Variance. Exercise.html 940B
  252. Data Science Statistics for Data Scientists and Business Analysis Udemy.URL 260B