When is it appropriate (or preferable) to use a distribution-free test like boot

Question

When is it appropriate (or preferable) to use a distribution-free test like bootstrapping or randomization instead of a t-test? 23 When our observed data don't follow a normal distribution When we don't know how a variable we're measuring is distributed at the population level When we know that the variable we're measuring is uniformly distributed at the level of the population a. b. c. d. All of the above 24. Examples of rank-randomization tests include a. Mann-Whitney U test b. Wilcoxon Rank-Sum Test c. Both A and B d. Neither A nor B 25. Randomization tests are based on the principle of a. Random sampling without replacement b. Random sampling with replacement c. Stratified sampling with replacement d. Stratified sampling without replacement 5. Which of the following is not a step in a randomization test? Compute a test statistic using your real data Randomly scramble your data across conditions and re-compute your test statistic many times to stimulate a distribution of test statistics under the null hypothesis Determine the proportion of null statistics that exceed a critical test statistic that's looked up in a table Determine the proportion of null statistics that exceed your actual test st a. b. c. d.

Explanation / Answer

23.when our data don't follow a normal distribution then we are using the distribution free like bootstaping and randomization instead of t-test.because there is no data for t-test.

24option C:Both A and B.

25.random sampling without replacement is the basic princile of randomization test

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