Search 6,000+ CA Community College Courses
Statistics for Data Science

Statistics for Data Science

FUN WITH DATA SCIENCE via YouTube Direct link

Statistics for Data Science EP:13 Question on Z-scores | data science | Statistics | English videos

13 of 109
Previous
Next

13 of 109

Statistics for Data Science EP:13 Question on Z-scores | data science | Statistics | English videos

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Statistics for Data Science

Automatically move to the next video in the Classroom when playback concludes
  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

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.