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Statistics for Data Science

Statistics for Data Science

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STATISTICS FOR DATA SCIENCE EP:02 Mean, Median, Mode | data science | Statistics | English tutorial

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STATISTICS FOR DATA SCIENCE EP:02 Mean, Median, Mode | data science | Statistics | English tutorial

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Statistics for Data Science

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  1. 1 STATISTICS FOR DATA SCIENCE EP:01 What is Statistics | data science | Statistics | English tutorial
  2. 2 STATISTICS FOR DATA SCIENCE EP:02 Mean, Median, Mode | data science | Statistics | English tutorial
  3. 3 STATISTICS FOR DATA SCIENCE EP:03 Sample And Population | data science | Statistics|English tutorial
  4. 4 Statistics for Data Science EP:04 Population Variance | data science | Statistics | English tutorial
  5. 5 Statistics for Data Science EP:05 Sample Variance | data science | Statistics | English tutorial
  6. 6 Statistics for Data Science EP:06 Standard Deviation | data science | Statistics | English tutorial
  7. 7 Statistics for Data Science EP:07 Alternate Variance formula | data science | Statistics | English
  8. 8 Statistics for Data Science EP:08 Random Variable | types | data science | Statistics | English
  9. 9 Statistics for Data Science EP:09 Probability density function | types | data science | Statistics |
  10. 10 Statistics for Data Science EP:10 Questions on Probability density function| data science|Statistics
  11. 11 Statistics for Data Science EP:11 Binomial Distribution Function | data science | Statistics
  12. 12 Statistics for Data Science EP:12 Normal Distribution and Z-scores | data science | Statistics
  13. 13 Statistics for Data Science EP:13 Question on Z-scores | data science | Statistics | English videos
  14. 14 Statistics for Data Science EP:14 Basic plots | stem-leaf plot | Bar plot | leaf plot | Data Science
  15. 15 Statistics for Data Science EP:15 Histogram | Statistics in english | Data Science |
  16. 16 Statistics for Data Science EP:16 Boxplot | Statistics in english | Data Science |
  17. 17 Statistics for Data Science EP:17 Quartiles and Percentiles | Outlier in data | Data Science |
  18. 18 Statistics for Data Science EP:18 Question on mean and Sample Standard Deviation | Data Science |
  19. 19 Statistics for Data Science EP:19 Question on Continuous Density Function | Data Science |
  20. 20 Statistics for Data Science EP:20 Question on Continuous Density Function part 2 | Data Science
  21. 21 Statistics for Data Science EP:21 Question on percentiles and probability Part 01 | Data Science
  22. 22 Statistics for Data Science EP:22 Question on percentiles and probability Part 02 | Data Science
  23. 23 Statistics for Data Science EP:23 Question on percentiles and probability Part 01 | Data Science
  24. 24 Statistics for Data Science EP:24 Question on percentiles and probability Part 02 | Data Science
  25. 25 Statistics for Data Science EP:25 Central Limit theorem for sample mean | data science
  26. 26 Statistics for Data Science EP:26 Question on Central Limit theorem for sample mean | data science
  27. 27 Statistics for Data Science EP:27 Central Limit theorem for Sums | data science
  28. 28 Statistics for Data Science EP:28 Question on Central Limit theorem for Sums | data science
  29. 29 Statistics for Data Science EP:29 Law of large numbers with question for Sums | data science
  30. 30 Statistics for Data Science EP:30 Question on uniform distribution | Data Science
  31. 31 Statistics for Data Science EP:31 Question on central limit theorem | Data Science | Statistics
  32. 32 Statistics for Data Science EP:32 Part -2How to solve question on central limit theorem|Data Science
  33. 33 Statistics for Data Science EP:33 Confidence Intervals |Data Science | Statistics for data science
  34. 34 Statistics for Data Science EP:34 Confidence Level |margin of error| question on confidence interval
  35. 35 Statistics for Data Science EP:35 Procedure for calculating Confidence Interval | inferential stats
  36. 36 Statistics for Data Science EP:36 | Finding Z for the standard confidence interval|inferential stats
  37. 37 Statistics for Data Science EP:37 | Calculating the EBM | Constructing the graph |inferential stats
  38. 38 Statistics for Data Science EP:38 | Question on the confidence interval | |inferential stats
  39. 39 Statistics for Data Science EP:39 | Changing the confidence level | inferential statistics
  40. 40 Statistics for Data Science EP:40 | Changing the sample size | inferential statistics | data science
  41. 41 Statistics for Data Science EP:41 | Working backwards for finding EB and sample mean | data science
  42. 42 Statistics for Data Science EP:42 | Calculating sample size n | inferential statistics| data science
  43. 43 Statistics for Data Science EP:43 | Student's-t distribution | inferential statistics| data science
  44. 44 Statistics for Data Science EP:44|Student's-t distribution(cont)|inferential statistics|data science
  45. 45 Statistics for Data Science EP:45|question Student's-t distribution | statistics | data science
  46. 46 Statistics for Data Science EP:46 | confidence interval for population proportion | data science
  47. 47 Statistics for Data Science EP:47|confidence interval for population proportion (cont.)|data science
  48. 48 Statistics for Data Science EP:48 | Question on confidence interval for population proportion
  49. 49 Statistics for Data Science EP:49 | Question-02 on confidence interval for population proportion
  50. 50 Statistics for Data Science EP:50 | Finding sample size n | data science | inferential statistics
  51. 51 Statistics for Data Science EP:51 | Summary of confidence interval inferential statistics
  52. 52 Statistics for Data Science EP:52 | hypothesis testing | data science | statistics
  53. 53 Statistics for Data Science EP:53 | null hypothesis and alternate hypothesis | data science
  54. 54 Statistics for Data Science EP:54 | example and comparison on null and alternate hypothesis
  55. 55 Statistics for Data Science EP:55 | Outcomes Type I and Type II errors | data science | statistics
  56. 56 Statistics for Data Science EP:56 | Examples of Type I and Type II errors | data science |statistics
  57. 57 Statistics for Data Science EP:57 | Distribution needed for hypothesis testing | data science
  58. 58 Statistics for Data Science EP:57 | Distribution needed for hypothesis testing and Assumptions |
  59. 59 Statistics for Data Science EP:59 | Assumptions in hypothesis testing | statistics for data science
  60. 60 Statistics for Data Science EP:60 | Rare events in hypothesis testing | statistics for data science
  61. 61 Statistics for Data Science EP:61 | Decision and conclusion | statistics for data science
  62. 62 Statistics for Data Science EP:62 | Summary of formulas | statistics for data science
  63. 63 Statistics for Data Science EP:63 | Comparing two independent population mean | statistics
  64. 64 Statistics for Data Science EP:64 | test score and degrees of freedom | statistics
  65. 65 Statistics for Data Science EP:66 |Comparing two independent population means | statistics
  66. 66 Statistics for Data Science EP:67 | Question on independent groups and population known | statistics
  67. 67 Statistics for Data Science EP:68 | Question on comparing two independent population mean|statistics
  68. 68 Statistics for Data Science EP:69 | Question on comparing two independent population mean (cont.)
  69. 69 Statistics for Data Science EP:70 | Matched or paired samples | statistics | data science mathmatics
  70. 70 Statistics for Data Science EP:72 | Question on Matched or paired samples | statistics |data science
  71. 71 Statistics for Data Science EP:73 | Recap of sampling and it's techniques | statistics |data science
  72. 72 Statistics for Data Science EP:74 | Important keyterms to remember | statistics |data science
  73. 73 Statistics for Data Science EP:75 | Recap of levels of measurement | statistics |data science
  74. 74 Statistics for Data Science EP:76 | Variation in data | statistics |data science
  75. 75 Statistics for Data Science EP:77 | Question on independent groups | statistics |data science
  76. 76 Statistics for Data Science EP:78 | Quick recap of types of data | statistics |data science
  77. 77 Statistics for Data Science EP:79 | Question on different samples | statistics |data science
  78. 78 Statistics for Data Science EP:80 | Example on null Hypothesis | statistics |data science
  79. 79 Statistics for Data Science EP:81 | Chi Square test and notation | statistics |data science
  80. 80 Statistics for Data Science EP:82 | Features in chi square test | statistics |data science
  81. 81 Statistics for Data Science EP:83 | Goodness of fit test | statistics |data science
  82. 82 Statistics for Data Science EP:84 | Goodness of fit test part b | statistics |data science
  83. 83 Statistics for Data Science EP:85 | Test of Independence | statistics |data science
  84. 84 Statistics for Data Science EP:86 | Chi-square test | statistics |data science
  85. 85 Statistics for Data Science EP:87 | Independence and homogenity | statistics |data science
  86. 86 Statistics for Data Science EP:88 | Test of a single variance | statistics |data science
  87. 87 Statistics for Data Science EP:89 | Summary of Chi square test | statistics |data science
  88. 88 Statistics for Data Science EP:90 | Summary of principle of homogenity | statistics |data science
  89. 89 Statistics for Data Science EP:91 | Linear regression and correlation | statistics |data science
  90. 90 Statistics for Data Science EP:92 | F distribution and one way anova | statistics |data science
  91. 91 Statistics for Data Science EP:93 | assumptions for one way anova | statistics |data science
  92. 92 Statistics for Data Science EP:94 | null and alternate hypothesis | statistics |data science
  93. 93 Statistics for Data Science EP:95 | alternate hypothesis | statistics |data science
  94. 94 Statistics for Data Science EP:96 | F-distribution and F - ratio | statistics |data science
  95. 95 Statistics for Data Science EP:97 | Calculating F-ratio | statistics |data science
  96. 96 Statistics for Data Science EP:98 | Important points F-ratio | statistics |data science
  97. 97 Statistics for Data Science EP:99 | Calculation of sum of squares and mean| statistics |data science
  98. 98 Statistics for Data Science EP:100 | Calculation of sum of squares and mean (cont) | data science
  99. 99 Statistics for Data Science EP:101 | Facts about One way Anova | data science
  100. 100 Statistics for Data Science EP:102 | F-ratio or F-statistics | data science | statistics
  101. 101 Statistics for Data Science EP:103 | Notation of F-ratio or F-statistics | data science | statistics
  102. 102 Statistics for Data Science EP:104 | Test of two variance | data science | statistics
  103. 103 Statistics for Data Science EP:105 | Example of Test of two variance | data science | statistics
  104. 104 Statistics for Data Science EP:106 | More about Test of two variance | data science | statistics
  105. 105 Statistics for Data Science EP:107 | Summary of test of two variance | data science | statistics
  106. 106 Statistics for Data Science EP:108 |Valid condition for linear regression | data science | statistic
  107. 107 Statistics for Data Science EP:109 |Recap of Chi SquareTest| data science | statistic
  108. 108 Statistics for Data Science EP:110 | Approach for a statistical analysis | data science | statistic
  109. 109 Statistics for Data Science EP:111 | Approach for a statistical analysis 2 data science | statistic

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