In: Statistics and Probability
Question 8
Hypothesis Test - Terminology
Match terms to descriptions Question 8 options:
a) The hypothesis expressing a claim involving one of =, ≤ (at
most), or ≥ (at least) and requiring no (null) action.
b) The hypothesis expressing a claim involving one of ≠, >, or
< and requiring action.
c) The sign of the critical value of a a 1-tail test with upper
reject region is
d) Greek letter denoting the population standard deviation
e) For an upper tail test, the probability of an equal or greater
test statistic.
f) Greek letter denoting the population mean
g) The sign of the critical value of a 1-tail test with lower
reject region is
h) Rejecting H0 when H0 is actually false
i) The risk as a probability that we are willing to take of
rejecting H0 when it is actually true.
j) Greek letter denoting the population proportion
k) Failure to reject H0 when H0 is actually false
l) Rejection of the null hypothesis when H0 is actually true
M) The value of the test statistic where the pvalue = significance
level α.
Match with the following:
1) H0
2) HA
3) pvalue
4) alpha α
5) Critical value
6) Type 1 error
7) Type 2 error
8) Not an error
9) Negative
10) Positive
11) μ
12) π
13) σ
14) No answer fits
a) The hypothesis expressing a claim involving one of =, ≤ (at most), or ≥ (at least) and requiring no (null) action.
Answer: 1) H0
b) The hypothesis expressing a claim involving one of ≠, >, or
< and requiring action.
Answer: 2) HA
c) The sign of the critical value of a a 1-tail test with upper
reject region is
Here test is right tailed.
Answer: 10) Positive
d) Greek letter denoting the population standard deviation
Answer: 13) σ
e) For an upper tail test, the probability of an equal or greater
test statistic.
Answer: 3) pvalue
f) Greek letter denoting the population mean
Answer: 11) μ
g) The sign of the critical value of a 1-tail test with lower
reject region is
Answer: 9) Negative
h) Rejecting H0 when H0 is actually false
Answer: 8) Not an error
i) The risk as a probability that we are willing to take of
rejecting H0 when it is actually true.
Answer: 4) alpha α
j) Greek letter denoting the population proportion
Answer: 12) π
k) Failure to reject H0 when H0 is actually false
Answer: 7) Type 2 error
l) Rejection of the null hypothesis when H0 is actually true
Answer: 6) Type 1 error
M) The value of the test statistic where the pvalue = significance
level α.
Answer: 5) Critical value