A pharmaceutical company is checking their medicines according
to the regulations imposed. The company must ensure that their
medicine contains exactly the amount prescribed. For a certain pill
they tested they require the pill to be 24mg. The random sample of
26 that they took revealed that this was not the case. The mean
weight of the pills in the sample was 26.46mg with a standard
deviation of 7.50mg.
Use α = 0.1 to answer the following questions.
a) |
What type of test would
be appropriate in this situation?
|
A
right-tailed test. H0: μ≤24, H1:
μ>24. |
|
A
left-tailed test. H0: μ≥24, H1: μ<24. |
|
A
two-tailed test. H0: μ=24, H1: μ≠24. |
|
None
of the above. |
|
b) |
Which of the following
sounds like an appropriate decision rule?
|
Reject
H0 in favour of H1 if the
computed value of the test statistic is less than -1.708 or greater
than 1.708 |
|
Reject
H0 in favour of H1 if the
computed value of the test statistic is between -1.708 and
1.708 |
|
Reject
H0 in favour of H1 if the
computed value of the test statistic is less than -1.708 |
|
Reject
H0 in favour of H1 if the
computed value of the test statistic is greater than 1.708 |
|
None
of the above |
|
c) What is the computed test statistic?
answer should be accurate to at least two decimal places.
Test statistic: ____
d) |
Based on your computed
test statistic and the decision rule you have decided upon, what
can we conclude about H0?
|
There
is sufficient evidence, at the given significance level, to reject
H0. |
|
There
is insufficient evidence, at the given significance level, to
reject H0; or we fail to reject
H0. |
|
There
is insufficient evidence to make it clear as to whether we should
reject or not reject the null hypothesis |
|