APMA 3120 Final Exam Question and answers rated A+
2025/2026
1
.
Population mean (nota- mu
tion)
2
Sample mean (random X-bar
.
3. variable)
Sample mean(notation)
x-bar
(calculat- ed value)
(notation)
4. Variance of the
sample mean
5. Significance level Essentially "how unlikely a result has to be for us to reject the null
hypothesis" - the p value of a measured value must be less than
the significance level in order for us to reject the null hypothesis
6. Significance level alpha
(vari- able)
7. Critical value The value of a statistic (often z) beyond which the null hypothesis
is
rejected
8. Confidence interval The range of values of an estimator for which the null hypothesis is
accepted
9. Test statistic function of the sample data used as a basis for deciding whether
H0
should be rejected.
10. Null hypothesis The hypothesis which is assumed to be true - often, that one
parameter
equals another parameter or value. Barring strong evidence to
the contrary, we take the null hypothesis to be true.
1/
14
, 11. Alternate hypothesis Something which we believe might be true, but do not assume is
true.
It's what we attempt to prove during a hypothesis test
2/
14
2025/2026
1
.
Population mean (nota- mu
tion)
2
Sample mean (random X-bar
.
3. variable)
Sample mean(notation)
x-bar
(calculat- ed value)
(notation)
4. Variance of the
sample mean
5. Significance level Essentially "how unlikely a result has to be for us to reject the null
hypothesis" - the p value of a measured value must be less than
the significance level in order for us to reject the null hypothesis
6. Significance level alpha
(vari- able)
7. Critical value The value of a statistic (often z) beyond which the null hypothesis
is
rejected
8. Confidence interval The range of values of an estimator for which the null hypothesis is
accepted
9. Test statistic function of the sample data used as a basis for deciding whether
H0
should be rejected.
10. Null hypothesis The hypothesis which is assumed to be true - often, that one
parameter
equals another parameter or value. Barring strong evidence to
the contrary, we take the null hypothesis to be true.
1/
14
, 11. Alternate hypothesis Something which we believe might be true, but do not assume is
true.
It's what we attempt to prove during a hypothesis test
2/
14
