05:20

Statistical officer test preparation || KPPSC || Statistics Uop.

07:53

Experimental Design Some Important Concept || Lec#2 || Statistics Uop.

05:36

What is Experimental Design || Lect#1 || Statistics Uop.

06:15

What is Population/??? Example of population || Statistics Uop..

17:33

KPPSC Lecturer Ability Test 20 june 2023 || answer Keys | Statistics Uop.

09:26

Difference between Binomial Distribution and Hypergeometric distribution

02:02:07

Complete Course of Probability|| Statistics Uop.

01:20:53

Measure of Central Tendency Complete Chapter || BSC part 1 ch#3 || Statistics Uop.

03:36

99% Confidence Interval Formula in different situation || Statistics Uop.

07:19

What is Auto-Correlation || Consequences, Method of Detection, and Remedies of auto_correlation.

03:35:37

Complete course of Advanced Statistical Inference || Statistics Uop.

06:13

Consequences, Detection and Remedies of Heteroscedasticity || Statistics Uop.

06:09

what is Heteroscedasticity || Econometrics || Statistics Uop.

06:58

Consequences, Detection and Remedies of Multicollinearity || Statistics Uop.

09:30

Interview Questions about F-distribution || Statistics Lecturer || Statistics Uop.

06:55

What is Multicollinearity || Examples of Multicollinearity || Why it occur in model ||Statistics Uop

05:19

Assumptions of classical linear regression model || Statistics Uop.

02:06

Types of Econometrics|| Theoretical Econometrics || Applied Econometrics|| Statistics Uop.

08:05

Methodology of Econometrics || || Lecturer Interview Preparation || Statistics Uop.

05:37

What is Econometrics || Lecturer Interview Preparation || Statistics Uop.

09:46

Probabilities through unit normal curve || BSc Part 1 Ch#9 | Urdu/Hindi | Statistics Uop.

10:51

Area under the unit normal curve || BSc Part 1 Ch#9 | Urdu/Hindi | Statistics Uop.

07:00

Major classification of averages || Urdu/Hindi || Statistics Uop.

03:15

Which one is Ideal Estimator || Important point || Statistics Uop.

18:57

KPPSC Female Lecturer ability test answer keys || Solved || Statistics Uop.

13:25

Q4 and Q5 || Advanced Statistical Inference || Statistics Uop.

08:58

Basu's Theorem || Ancillary Statistic || Advanced Statistical Inference || Statistics Uop.

06:18

Ancillary Statistic || Advanced Statistical Inference || Urdu/Hindi || Statistics Uop.

07:01

Lehmann and Scheffe Theorem || Statement and Proof ||Advanced Statistical Inference|| Statistics Uop

11:43

Uniqueness and Completeness of an unbiased estimator || Example || Advanced Statistical Inference.

10:42

Rao-Blackwell Theorem (RBT) QUESTION ||Bernoulli Distribution|| Advanced Statistical Inference ||

14:25

CRLB for Causchy Distribution || Advanced Statistical Inference || Statistical Inference.

09:20

Important Questions Of Advanced Statistical Inference Q1 and Q2 || Statistics Uop.

14:32

Rao-Blackwell Theorem || Advanced Statistical Inference || Statistics Uop.

02:36

Advantages of Exponential Family of Distribution || Advanced Statistical Inference || Statistics Uop

11:30

K-Parameter Exponential Family of Distribution | Advanced Statistical Inference | Statistics Uop.

11:19

Exponential Family of Distribution || Advanced Statistical Inference || Statistics Uop.

01:20

Mode Example || Statistics Uop.

22:02

KPPSC ability test Solution || SUBJECT SPECIALIST STATISTICS || 1/6/2022 || Answer keys ||

05:19

KPPSC announced ability test for the post of FEMALE SUBJECT SPECIALIST STATISTICS | imp discussion.

04:40

Example of Neyman Factorization criterion | Advanced Statistical Inference | Statistics Uop.

10:10

Neyman factorization criterion | Proof | Advanced Statistical Inference | Statistics Uop.

07:52

Sufficiency in case of Non Regular Distribution | Example#2 | Statistics Uop.

12:20

Data Reduction and Sufficiency | Example#1 | Advanced statistical inference | Statistics Uop.

13:04

Jackknife estimator for Non-Regular distribution | Example#3 | Urdu/Hindi | Statistics Uop.

16:16

Jackknife estimator for Poisson distribution | Example#2 | Statistics Uop.

18:20

example of jackknife estimator | Bernoulli distribution |Statistics Uop.

16:21

Jackknife Technique | How we can reduce the amount of bias | Urdu/Hindi | Statistics Uop.

06:42

Properties of normal distribution | BSc Part 1 Ch#9 | Urdu/Hindi | Statistics Uop.

13:21

Testing of hypothesis about variance of normal population | BSc Part:2 Ch#17 Lec:5 | Statistics Uop.

06:35

Example of Confidence interval for Population Variance | BSc Part:2 Ch#17 | Lec#4 | Statistics Uop.

12:22

Sensitivity and Specificity | False Positive and False negative | Bio Statistics | Statistics Uop.

08:21

Confidence interval estimate of variance of a normal population|BSc Part:2 Ch#17 Lec3|Statistics Uop

06:03

In Poisson Distribution Mean and Variance are equal. Why??? | KPPSC | Statistics Uop.

04:12

Properties of Chi-Square Distribution | BSc Part:2 Ch#17 | Urdu/Hindi | Statistics Uop.

05:26

Imp Questions about Chi-Square Distribution for KPPSC | Statistics Uop.

03:48

Chi square Distribution is Parametric or Non Parametric | Statistics uop.

05:07

Chi-Square Distribution | BSc Part 2 Ch#17 | Urdu/Hindi | Statistics Uop.

02:35

Why Beta 2 is always compared by 3 | KPPSC Interview | Statistics Uop.

03:21

Symmetrical Vs normal distribution | KPPSC | Statistics Uop.