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An Easy Way To Statistics by Dr. Tariq @UCrdXMEdQ8fMf4YqYvz6JXtw@youtube.com

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Purpose of this channel is to provide the basic knowledge of


47:44
Normal probability Distribution II, standard Normal Distribution, Use of Area table & Examples
22:19
Normal Probability Distribution introduction, properties, importance & probability density function
32:03
Poisson Distribution: Explanation with numerical Examples. An easy way to statistics by Dr. Tariq
29:04
Hypergeometric Probability Distribution Part II. Application with Numerical Examples
23:04
Hypergeometric Probability Distribution, its Mean and Variance: Explanation with Numerical Example,
42:23
Binomial Distribution: Learn How to Solve the Numerical Using Binomial Distribution, & Examples
32:38
Binomial Distribution: Its Formula, Mean & Variance and Explanation with Numerical Example
31:07
PROBABILITY: Discrete Random Variable and Probability Distribution part II With Numerical Examples.
16:50
Probability: Discrete Random Variable and Probability Distribution Part-I, with Examples.
20:23
Probability: Additional law of Probability for Mutually Exclusive and not Mutually Exclusive Events
24:20
Concepts of Mutually Exclusive or Disjoint Events, Independent events, Exhaustive events
24:48
Application of Rule of Combination: computing probability of various events associated with it
45:53
Application of Rule of Multiplication: Numerical Examples and Computation of Probabilities
25:21
Probability: Rule of Combination for Counting the All Outcomes of Sample Space
20:20
Probability: Rule of Multiplication for Counting All Possible Outcomes of Sample Space
23:37
Probability: Numerical Examples for Computing Probability of Various Events
21:46
Probability: Subjective and Objective Probability, Probability of an Event and Numerical Examples
22:06
Basic Terms Used in Probability: Experiment, Outcome, Event, Sample Space
21:15
Measure of Dispersion: Standard Deviation, Variance and Coefficient.
17:29
Dispersion: Standard deviation, Variance and Coefficient of Variations
46:18
Statistical Inference: Estimation and Testing of Hypothesis (introduction)
16:52
Measures of Dispersion -- Concept of Absolute and Relative Dispersion
31:47
Sampling Distribution of Difference Between Sample Proportions
28:55
Sampling Distribution of Difference Between Sample Means
21:03
Merits, Demerits and Relationships of Various Measures of Central Tendency
25:27
Sampling Distribution of Sample Proportions For Sampling with Replacement
23:11
Sampling Distribution of Sample Mean for Sampling Without Replacement
15:11
Geometric Mean (For Grouped and Ungrouped Data):Measures of Central Tendency
11:51
Harmonic Mean (For Grouped and Ungrouped Data): Measures of Central Tendency
14:47
MODE (for Grouped and Ungrouped Data): Measures of Central Tendency
22:55
MEDIAN: Measures of Central Tendency (Average)-ll
31:56
Sampling Distribution of Means with Numerical Example
13:04
Sampling (Without Replacement)- Part V
10:07
Sampling (With Replacement)-Part IV
15:38
Classification of Data (Frequency Distribution) Part II
27:56
Classification of Data (Frequency Distribution) Part III
38:53
Simple Correlation: Correlation Coefficient, Properties and Example
01:06:55
Simple Linear Regression: Regression Coefficient, Regression Equation & Standard Error of Estimate
14:17
Least Significant Difference Test
26:51
Z-Test (Normal Distribution): Hypothesis Testing about Single Population Proportion
38:39
Experimental Designs: Latin Square Design
34:13
Experimental Design: Randomised Complete Block Design (RCBD)
35:08
Experimental Design: Completely Randomised Design (CRD)
32:21
Z- Test (Normal Distribution) Testing of Hypothesis about Difference Between Two Population Means
44:53
Z- Test (Normal Distribution) for Testing of Hypothesis for Single Population Mean
45:04
Two Way Analysis of Variance Technique
36:39
One Way Analysis of Variance Technique
23:49
Chi-Square Distribution : Hypothesis Testing for Independence of Two Attributes
12:56
t - Distribution Hypothesis Testing for Two Dependent Samples (part-II)
12:06
t - Distribution Hypothesis Testing for Two Dependent Samples (part-I)
15:16
t- Distribution Hypothesis Testing for Two Independent Samples (part-II)
15:34
t-Distribution Hypothesis Testing for Two Independent Samples (part-I)
13:58
t-distribution Hypothesis Testing about Population Mean (part-II)
14:26
t-distribution (Hypothesis Testing of Population Mean)