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