Type I error occurs when the null ______________.

is actually true, but the test incorrectly rejects

If a test fails to reject the null hypothesis then _________________.

the test has failed to provide significant evidence for Ha

If we fail to reject the null hypothesis, ____________.

We have failed to find evidence to support the alternative

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Hypothesis testing, type error, power,

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Answers

1
Type I error occurs when the null ______________.
All of the above
is actually true, but the test incorrectly rejects
is actually true, and the test correctly fails to reject
Is actually false, but the test incorrectly fails to reject
2
If a test fails to reject the null hypothesis then _________________.
the test has failed to provide significant evidence for Ha
the p-value of the test must be smaller than α
there is significant evidence against the null hypothesis
the test statistic is statistically significant
3
HypothesisTesting involves drawing inferences about 2 contrasting _____ relating to a parameter
Data Sets
Theorems
Propositions
Assumptions
4
Hypothesis Testing always assumes that the ______________.
Alternative hypothesis is true
Probability of the alternative being true is less than 50%
Probability of the null being true is less than 50%
Null hypothesis is true
5
The statement of "no change from the traditional value," "no effect," "no relationship."
alternative hypothesis
P-Value
null hypothesis
significance level
6
The probability of making Type I error is denoted ______.
σ
α
β
1-β
7
If we fail to reject the null hypothesis, ____________.
The null hypothesis is proved to be true
We have found evidence to support the alternative
We have failed to find evidence to support the alternative
all of the above
8
If we reject the null hypothesis then _____________.
all of the above
we have found significant evidence against the null
we have found significant evidence for the alternative
the p-value must be smaller than the alpha level
9
Hypothesis testing can result in ______ different outcomes
1
3
4
2
10
Hypothesis testing is a technique used to draw statistically valid conclusions about
Sample Statistics
Population Parameters
Individuals
Random Errors

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