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12 questions
Which of the following best describes a Type I error?
The null is true, but we mistakenly reject it.
The null is false and we reject it.
The null is false, but we fail to reject it.
The null is true but we fail to reject it.
The null is true, and we fail to reject it.
The null hypothesis is represented by:
Ha
Ho
t*
HP
μ
The null hypothesis always contains a(an):
< or >
=
>
= or >
≠
Which of the following best describes a type II error?
The null is true, but we mistakenly reject it.
The null is false and we reject it.
The null is false, but we fail to reject it.
The null is true but we fail to reject it.
Te null is false, and we reject it.
What does it mean when a test is statistically significant? (Hint: sufficient evidence)
it has reached alpha level status
the test statistic had a P-value higher than the alpha level
the test statistic had a P-value lower than the alpha level
it is important in practical terms
When conducting a significance test for the difference in proportions, why do we pool the data when finding standard error?
Because we like to swim
Because we assume p1 = p2 in Ho and we want the best estimate of p (biggest sample)
Because the sample sizes are always equal
To be safe and make sure we don't underestimate the standard error
Because the standard errors are equal
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