Distribution-free tests and parametric tests differ in their null ...

[JMatthes]

Distribution-free tests and parametric tests differ in their null hypotheses in that
 
  a. distribution-free tests have a less specific null hypothesis.
  b. distribution-free tests make very strong assumptions about the mean.
  c. distribution-free tests don't really have a null hypothesis.
  d. parametric tests have rather loose null hypotheses.

Question 2

Tied scores often present a problem in distribution-free tests. The most common way to deal with them in a Mann-Whitney test is to
 
  a. flip a coin.
  b. use a random number table.
  c. assign tied ranks.
  d. throw out the tied data.

[quynhmickitran]

Answer to Question 1

A

Answer to Question 2

C

[JMatthes]

Wow, this really help

[bigsis44]

Thanks for the timely response, appreciate it