Question

In formulating hypotheses for a statistical test of significance, the null hypothesis is often

A. a statement about the population the researcher suspects is true and for which he/she is trying to find evidence.
B. a statement of “no effect” or “no difference.”
C. a statement about the sample mean.
D. 0.05.

n formulating hypotheses for a statistical test of significance, the alternative hypothesis is often
A. a statement about the population the researcher suspects is true and for which he/she is trying to find evidence.
B. a statement of “no effect” or “no difference.”
C. a statement about the sample mean.
D. 0.05.

Answer 1

I know D is incorrect because I believe that's Alpha... Null means void or nothing, so I'm assuming part 1 is B.

As for the alternate hypothesis it's probably A?

Answer 2

@jim_thompson5910

Answer 3

A null hypothesis is usually based upon the assumption that nothing special has happened, no change has occurred.

Answer 4

so B :)

Answer 5

For the first part B is the correct choice.
There are just two possible alternative hypotheses.
1) A change has taken place. This leads to a two-tail test.
2) A change has taken place in a particular direction. This leads to a one-tail test.

Answer 6

So A still? :P

Answer 7

For the second part A is the correct choice. Good work :)

Answer 8

YEAAAH!

Answer 9

Medals for daze.

Answer 10

Thank you :)

Answer 11

oops I almost put A and B instead of B and A :P