Shree GaneshA Statistics

 Statistical Inference Mcq's tomorrow i will add new questions Certainly, I'll be here to answer your question tomorrow. Feel free to ask whenever you're ready, and I'll provide you with the answer.

Non-Parametric Test : Mann-Whitney U Test if we are  interested in   testing of difference between mean of two independent population. In that case we use two sample T-Test is used when the data follows assumptions of parametric T-Test. like two independent sample are drawn from normal population & have equal variance. the variable are measured in at least of an interval scale. But if the data are collected on ordinal scale and sample drawn from population is not known. (that situation aeries in the different filed like study of marketing, or biological studies, etc. ). For that cases the parametric test cannot be used. in that situation a Non- Parametric test are  more appropriate. In such circumstances the simple Non-Parametric test used is known as Mann-Whitney U test.  This Non-Parametric Mann-Whitney U test developed by Mann, Whitney and Wilcoxon. therefore it name is Mann-Whitney U test, and sometimes it is also called Wilcoxon's rank sum test. T...

  Non-Parametric tests Kolmogorov-Smirnov one sample test.  or Kolmogorov-smirnov goodness of fit test. The test was discovered by A. N. Kolmogorov and N. V. Smirnov hence that test has name Kolmogorov-smirnov  test, they developed two test for one sample test and two sample test. in this article we discus the Kolmogorov-smirnov  one sample test. this is simple one sample Non- Parametric test used to test whether the data follow specific distribution or their is significant difference between the observed and theoretical distribution. (i.e. theoretical distribution means assumed distribution or considered specific distribution). the test measured the goodness of fit of theoretical distribution. we known that chi-square test is used to test the goodness of fit. the main difference is that the chi-square test is used when data is categorical and Kolmogorov-smirnov  test is used when data is continuous. Assumptions of Kolmogorov-smirnov test as follows: 1. the sam...