Question

14. Which of the following statistical tests is BEST TO normally distributed data? in statistical tests is BEST to use for comparing two samples A. Independent sample t-test B.Mann-Whitney test C. Regression analysis D. Logistic regression analysis 15. Which of the following is NOT related to central limit theoret? sample size is large. bution of sample mean, x is approximately normal regardless of Xin the population 9. The mean of the distribution of sample mean is equal to the mean of x in the population C. The SD of the dirt ..he SD of the distribution of sample means is equal to the SD ofx in the population divided by square root of sample size, an D. It measures the amount of spread or variability of observation from me 16. Which of the following is FALSEto describing inferential statistics? A. Type I error is the probability of rejecting the bull bypothesis when He is true B. Type II error is the probability of accepting the wall hypothesis when He is false C. The power of the test is denoted by 1-6 D. Type I error is usually depoted by B 17. Which of the following is BEST to describing type I error? A. Usually denoted by a B. Also known as power of the test C. Usually type I error will be fixed at 80% D. It can be obtained by 1- B 18. Which of the following is TRUE about one-way ANOVA test? A. The equality of variance assumption is observed by using scatter plot predicted value vs. residual B. The p-value for one-way ANOVA test is calculated by using F-table C. Normality is measured by Levene test prior to one-way ANOVA test D. One-way ANOVA test is use for measuring correlation between two continues data 19. Which of the following is FALSE regarding the Kruskal-Wallis test? A. It is used for comparing means among more than two samples for badly skewed normal data B. It is an example of Donparametric test C. It is used for measuring correlation between two continues data D. It is a nonparametric alternative for one-way ANOVA test 20. Which of the following is FALSE regarding the t-test? A. Paired sample t-test is used for comparing two dependent or related samples for continuous data B. Normality assumption can be tested using Kolmogorov-Smirnov test prior to independent sample t-test C. Mann-Whitney test is nonparametric alternative for independent t-test for badly skewed data D. Kruskal-Wallis test is nonparametric alternative for independent t-test for badly skewed data

please give correct and answer all question.. this is revision question...

Answer 1

14. The correct option is A.

Independent T-Test :-

Comparison of 2 means from independent samples

>the individual measures in group A are in no way linked with or related to any of the individual measures in group B

Separate samples containing different sets of individual subjects

15. The correct option is D.

The central limit theorem states that the sampling distribution of any statistic will be normal or nearly normal, if the sample size is large enough. If the distribution is normal, its histogram will be normal shaped, which is a bell shape that is symmetrical about the mean.

16. The correct option is D.

Type l error is denoted by alpha

Type ll error is denoted by beta

17. The correct option is A.

Usually denoted by alpha