Exam 10: Statistical Significance

If an inferential test result is significant, you no longer have to worry about the direction of a hypothesis.

If an inferential statistic's calculated value is statistically significant, that means:

If a statistical program's probability output doesn't say differently, it is almost always a 2-tailed probability.

Which of the following is NOT true?

A probability level of .05001 with alpha level of .05 is

It is a more conservative decision to

If the alpha level is .05, the confidence level is .95.

While it is common to use p = .05 as the criteria for significance, you don't absolutely have to.

If a zero association exists, which of the following hypotheses would be supported?

If your probability level is lower than your alpha level, you should

A Chi-square test with an associated probability level cannot be interpreted unless you have the actual Chi-square value.

When you have a one-tailed relationship, what would you normally do with the associated probability level?

An .05 level of significance means that

Under which condition below would you reject a null hypothesis?

An inferential statistic cannot be interpreted unless you have:

An alpha level is the name for dividing probability by two.

Statistical significance does not mean that something is important.

Random error distributions can be used to estimate the amount of error likely to occur in a sample.

A probability level is just another name for the likelihood of random error.

If you don't have the probability associated with an inferential statistic's value and degrees of freedom