반응형 분류 전체보기123 (R) Two sample t-test (Student's t, Welch's t ) Two sample t-test is to test whether the two population means are equal or not. So the null hypothesis here is, H0: the means of two populations are equal (M(A) =M(B)). The alternative hypothesis here is, H1: the means of two populations are different (M(A) !=M(B)).The common assumption for the two tests is "the sampling distributions are normally distributed."That is, both groups have the norma.. 2020. 10. 27. Independence of Sample Mean and sample Variance of Normal distribution. I want to prove that when random samples X1,X2,...,Xn independent and identically follows Normal distribution with mean μ and variance σ^2, the sample mean and the sample variance of the samples are independent. This is regarded as a crucial fact when proving one of the properties of T distribution. Which is when x1,x2,x3,...,xn are from the normal distribution with mean μ and variance σ^2, n^0... 2020. 10. 26. Bayesian Statistics Bayesian Statistics is the way to update the information about any distribution with prior information after observation.That is, It allows us to form posterior distribution which includes every information about the parameter by using conditional probability. And the conditional probability might be familiar with you if you studied about the Bayes Theorem before.The thing you should know is tha.. 2020. 10. 25. (R) Permutation Test - Non parametric method Permutation Test is a non-parametric method. Even though Permutation Test and Bootstrap Test are both non-parametric method, they have a difference, which is 'replacement.'Bootstrap test is the test method accomplished by allowing 'with replacement,' and the Permutation test is the test 'without replacement.' The two-sample t-test starts from the assumption that the sampling distribution is norm.. 2020. 10. 24. 이전 1 ··· 9 10 11 12 13 14 15 ··· 31 다음 반응형
