The accompanying data table compares the prices of some kitchen staples at two grocery stores, A and B. Complete parts (a) to (d). LOADING... Click the icon to view the data table.
The accompanying data table compares the prices of some kitchen staples at two grocery stores, A and B. Complete parts (a) to (d). LOADING... Click the icon to view the data table.
The accompanying data table compares the prices of some kitchen staples at two grocery stores, A and B. Complete parts (a) to (d). LOADING... Click the icon to view the data table.
The accompanying data table compares the prices of some kitchen staples at two grocery stores, A and B. Complete parts (a) to (d).
LOADING...
Click the icon to view the data table.
a.
At the
0.10
level of significance, is there evidence of a difference in the mean prices between store A and store B?
Let
μ1
be the mean price at store A and
μ2
be the mean price at store B. Determine the null and alternative hypotheses for this test.
A.
H0:
μD=0
(where
μD=μ1−μ2)
H1:
μD≠0
B.
H0:
μD≥0
(where
μD=μ1−μ2)
H1:
μD<0
C.
H0:
μD≠0
(where
μD=μ1−μ2)
H1:
μD=0
D.
H0:
μD≤0
(where
μD=μ1−μ2)
H1:
μD>0
The test statistic is
tSTAT=enter your response here.
(Round to two decimal places as needed.)
The critical value(s) is(are)
enter your response here.
(Use a comma to separate answers as needed. Round to two decimal places as needed.)
Since the test statistic
▼
the critical value(s),
▼
reject
do not reject
H0.
There is
▼
evidence to conclude that the mean price is different at store A than at store B.
b.
What assumption is necessary about the population distribution in order to perform this test?
A.
It must be assumed that the distribution of the differences between the measurements is approximately uniform.
B.
It must be assumed that the distribution of the differences between the measurements is skewed.
C.
It must be assumed that the distribution of the differences between the measurements is approximately normal.
c.
Determine the p-value in (a) and interpret its meaning.
The test statistic gives a p-value of
enter your response here.
(Round to two decimal places as needed.)
Interpret the meaning of the p-value in (a). Choose the correct answer below.
A.
The p-value is the probability of obtaining a sample mean difference less extreme than this one if the population mean prices at the two stores are different.
B.
The p-value is the probability of obtaining a sample mean difference at least as extreme as this one if the population mean prices at the two stores are the same.
C.
The p-value is the probability of failing to reject the null hypothesis when it is actually false.
d.
Construct a
90%
confidence interval estimate of the difference in the mean prices between the two stores.
The
90%
confidence interval estimate is
enter your response here≤μD≤enter your response here.
(Round to two decimal places as needed.)
Definition Definition Method in statistics by which an observation’s uncertainty can be quantified. The main use of interval estimating is for describing a range that is made by transforming a point estimate by determining the range of values, or interval within which the population parameter is likely to fall. This range helps in measuring its precision.
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