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Pretest
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1
It is a proposed explanation, assertion, or assumption about a population parameter.
Probability
Statistics
Hypothesis
Decision
2
Which of the following would be an appropriate null hypothesis?
The mean of a sample is not equal to 75.
The mean of a population is equal to 75.
The mean of a sample is equal to 75.
The mean of a population is greater than 75.
3
Which of the following is a Type I error?
๐ป0 is false; reject ๐ป0.
๐ป0 is true; fail to reject ๐ป0.
๐ป0 is true; reject ๐ป0.
๐ป0 is false; fail to reject ๐ป0.
4
Which of the following must be used as the level of significance if we want a higher possibility of correct decision?
5%
25%
10%
1%
5
It is also the probability of committing an incorrect decision about the null hypothesis.
Level of error
Level of significance
Level of hypothesis
Level of acceptance
6
If the computed z-value is 2.015 and the critical value is 1.833, which of the following statements could be true?
It lies in the non-rejection region, we failed to reject ๐ป๐.
It lies in the rejection region, we failed to reject ๐ป๐.
It lies in the non-rejection region, ๐ป๐ must be rejected.
It lies in the rejection region, ๐ป๐ must be rejected.
7
What is this figure?
The Normal Distribution Curve
The Standard Curve
The Blue Curve
The Abnormal Distribution Curve
8
When is a Type I error committed?
We reject a null hypothesis that is true.
We reject a null hypothesis that is false.
We fail to reject a null hypothesis that is false.
We fail to reject a null hypothesis that is true.
9
When is a Type II error committed?
We reject a null hypothesis that is true.
We fail to reject a null hypothesis that is true.
We reject a null hypothesis that is false.
We fail to reject a null hypothesis that is false.
10
What is the statistical method used in making decisions using experimental data?
Hypothesis testing
Analytical testing
Simple analysis
Experimental testing