Statistics MCQs, Data Analysis, Stat Software
Testing of Hypothesis, Hypothesis testing, Independent t test, Independent z test, Analysis of variance, ANOVA, Comparison tests
Type I and Type II Errors In hypothesis testing, there are two possible errors we can make: Type I and Type II errors. If you do reject your null hypothesis, then it is also essential that you determine whether the size of the relationship is practically significant.The hypothesis test procedure …
Significance Level The significance level in statistics is the level of probability at which it is agreed that the null hypothesis will be rejected. In academic research, usually, a 0.05 level of significance (level of significance) is used. The level of significance is also called a level of risk. Significance …