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Sequential Analysis: (SPRT)

  Sequential Analysis: We seen that in NP theory of testing hypothesis or in the parametric test n is the sample size and is regarded as fixed and the value of α fixed , we minimize the value of β.  But in the sequential analysis theory invented by A Wald in sequential analysis n is the sample number is not fixed but the both values α and β are fixed as constant. Sequential Probability Ratio Test: (SPRT):

Statistical Inference Practical: Point Estimation by Method of Moment

 

B. Com. I OE- II Practical no. 5 Spearman's Rank correlation coefficient.

Practical no. 5  Spearman's Rank correlation coefficient.   Correlation In previous blog we discussed about the measure central tendency and Dispersion to use to study the variable. the correlation is a statistical concept that allows us to measure and understand the relationship between two or more variables. it provided a valuable information about that variables. e.g. price and demand of commodity, income and expenditure of family, height and weight of group of persons. their we use the relation   between this two variables. in above examples we see the one variable increases other variable is also changes in same or opposite direction.  definition: Correlation is statistical tool which study the relationship between two or more variables. for analysis of correlation various method and techniques are used.  example: i. Demand and supply of product                          ...

Statistical Inference I MCQ's with answers

 Statistical Inference Mcq's MCQS with Answers Part -II: these are some MCQ'S on Statistical Inference: 1. Which of the following is a false statement?  A) Unbiased estimators are not unique.  B) Sample mean is always an unbiased estimator of population mean if exists.  C) Sample mean square is always an unbiased estimator of population variance if exists.  D) Sample raw moments are always unbiased estimators of corresponding population raw moments.  Answer: D) Sample raw moments are always unbiased estimators of corresponding population raw moments.  2. Which of the following distributions does not belong to exponential family?  A) Normal                B) Pareto                C) Poisson                     D) Binomial Answer:   B) Pareto     3.A one-dimensional stati...