Statistics II
Revision Before Exam
Estimated Marks : 30
This is One shot revision videos playlist by Ashish Panta (Nepali Science Guru). If you are just watching before exam, quickly checkout these videos and practice questions. If you have time remaining then you can dedicately checkout chapterwise videos.
Sampling Distribution
Hypothesis Testing
Non Parametric Test
Multiple Correlation & Regression
Design of Experiment- 1Sampling Distribution
- 2Hypothesis Testing
- 3Non Parametric Test
- 4Multiple Correlation & Regression
- 5Design of Experiment
Sampling Distribution
Estimated Marks : 5
This chapter is a small recap of 2nd Semester's Statisitcs I. There is strong emphasis on Z test and null hypothesis throughout the subject. Common numerical question is related to find standard error in sampling, find confidence interval and determine sample size.
Sampling Distribution - One shot
Standard Error Questions
Confidence Interval
Calculate Sample Size
Z-score for Confidence %- 1Sampling Distribution - One shot
- 2Standard Error Questions
- 3Confidence Interval
- 4Calculate Sample Size
- 5Z-score for Confidence %
Testing of Hypothesis
Estimated Marks : 15
Null Hypothesis testing is very important concept that you will use throughout all other chapters. Learn very clearly this concept. Videos length might be much but concept is very clearly explained so don't be cheap here as this concept is used throught the subject. You can increase speed to 1.5x.
Hypothesis Testing - Intro
Population Mean Testing
Difference b/w means
Population Proportion Testing
Difference b/w Proportions
T - test
T - test of two means
Paired T - test- 1Hypothesis Testing - Intro
- 2Population Mean Testing
- 3Difference b/w means
- 4Population Proportion Testing
- 5Difference b/w Proportions
- 6T - test
- 7T - test of two means
- 8Paired T - test
Non Parametric Test
Estimated Marks : 15
Probably the largest and toughest chapter. There are many tests to learn, so patiently learn each and practice many questions. (SOON)
Non Parametric Test - Concept
Run Test
Binomial Test
Median Test
Kolmogorov Smirnov Test
Mann Whitney U Test
Chi Square Test - Goodness of Fit
Chi Square Test - Independence of Attribute
Wilcoxon Matched Pair Signed Rank Test
Cochron Q Test
Kruskal Wallis H Test
F Test- 1Non Parametric Test - Concept
- 2Run Test
- 3Binomial Test
- 4Median Test
- 5Kolmogorov Smirnov Test
- 6Mann Whitney U Test
- 7Chi Square Test - Goodness of Fit
- 8Chi Square Test - Independence of Attribute
- 9Wilcoxon Matched Pair Signed Rank Test
- 10Cochron Q Test
- 11Kruskal Wallis H Test
- 12F Test
Multiple Correlation & Regression
Estimated Marks : 15
One of the easiest chapter to gain quick marks. Sure 10 (probably 15) marks from this chapter. You already know 2 variable correlation and regression, so you just have to carry on that knowledge for multiple variables. But still few new topics, so watch each videos properly.
Correlation - Recap
Regression - Recap
Partial Correlation
Multiple Correlation
Multiple Linear Regression
Coefficient of Determination
R squared & Adjusted R squared
Coefficient Interpretation & Significance
F Test- 1Correlation - Recap
- 2Regression - Recap
- 3Partial Correlation
- 4Multiple Correlation
- 5Multiple Linear Regression
- 6Coefficient of Determination
- 7R squared & Adjusted R squared
- 8Coefficient Interpretation & Significance
- 9F Test
Design of Experiment
Estimated Marks : 10
Quite theoritical subject. Most likely you will be asked theory question from here. There is 3 main topics: CRD, LSD & RBD as types of design of experiment. Your study will be around these 3 topics.
One shot- 1One shot
Stochastic Process
Estimated Marks : 10
Sure 5-10 marks question from this chapter. Possions process is a frequently asked question in exam. Note: Some topics are remaining here due to lack of proper videos. Queueing system is not added here.
Markov Chain - Concept 1
Markov Chain - Concept 2
Markov Chain - Concept 3
Steady State Distribution
Possion Process
Poisson Process Examples- 1Markov Chain - Concept 1
- 2Markov Chain - Concept 2
- 3Markov Chain - Concept 3
- 4Steady State Distribution
- 5Possion Process
- 6Poisson Process Examples