11:27
Chi Square Test of Independence
18:37
CH # 3: Concept of Quartile | Examples
17:17
CH # 3: Concept of Mode | Examples
22:11
CH # 3: Concept of Median | Examples
10:55
CH # 3: Concept of Weighted Mean | Examples
15:18
CH # 3: Harmonic Mean | Examples | Merits & De-merits
21:30
CH # 3: Concept of Geometric Mean | Examples | Merits & De-merits
10:21
CH # 3: Arithmetic mean by Coding Method
17:45
CH # 3: Arithmetic Mean | Examples
06:15
CH # 3: Introduction to Measure of Location
12:32
Lecture # 21: Difference between Accuracy & Precision | Concept of Errors
08:45
Lecture # 20: Concept of Simple Random Sampling
07:47
Lecture # 19: Types of Sampling Design
10:15
Lecture # 18: Difference between Population, Sample & Sampling
13:46
Lecture # 17: Exercise 10.2 | Q # 17 (a) (b)
15:28
Lecture # 16: Exercise 10.2 | Q# 10 (a) (b)
21:24
Lecture # 15: Exercise 10.2 | Q# 8 (a) (b)
25:20
Lecture # 14: Exercise 10.2 | Q#6 (a) (b)
24:44
Lecture # 13: Exercise 10.2 | Q#5 (a) (b)
18:27
Lecture #12: Exercise 10.2 / Q. 3 (c), (d)
19:16
Lecture # 11: Exercise 10.2 / Q # 3 (a), (b)
16:52
Lecture # 10: Exercise 10.2 / Q.2
20:56
Lecture # 9: Probability using Normal Distribution
21:28
Lecture # 8: Quantiles of Standard Normal Dist. / Q.5
24:58
Lecture # 7: Probability of Standard Normal & Concept of Interpolation
21:58
Lecture # 6: Probability through C.D.F / Example 10.2, 10.3
16:51
Lecture # 5: Example 10.1 / Exercise
20:42
Lecture # 4: Standard Normal Distribution
17:37
Lecture # 3: Concept of Standard Normal Distribution
26:39
Lecture # 2: Properties of Normal Distribution
14:32
Lecture # 1: An introduction to Normal Distribution
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