A major food manufacturer is concerned that the sales for its skinny french fries have been decreasing. As a part of a f
Posted: Wed May 11, 2022 10:16 am
A major food manufacturer is concerned that the sales for its
skinny french fries have been decreasing. As a part of a
feasibility study, the company conducts research into the types of
fries sold across the country to determine if the type of fries
sold is INDEPENDENT of the area of the country. The results of the
study are shown in the table below. Conduct a test of INDEPENDENCE.
(Use a significance level of 0.05.)
Part (a)
The types of fries sold are DEPENDENT on the location.
The types of fries sold are INDEPENDENT of the
location.
Part (b)
The types of fries sold are DEPENDENT on the location.
The types of fries sold are INDEPENDENT of the
location.
Part (C)
What is the test statistic? (Round your answer to two decimal
places.)
Part (D)
If H0 is true, then there is a
chance equal to the p-value that the value of the
test statistic will be equal to or less than the calculated
value.
If H0 is false, then there is a
chance equal to the p-value that the value of the
test statistic will be equal to or less than the calculated
value.
If H0 is false, then there is a
chance equal to the p-value that the value of the
test statistic will be equal to or greater than the calculated
value.
If H0 is true, then there is a
chance equal to the p-value that the value of the
test statistic will be equal to or greater than the calculated
value.
Part (E)
reject the null hypothesis
do not reject the null hypothesis
Since 𝛼 < p-value, we do not reject
the null hypothesis.
Since 𝛼 > p-value, we reject the null
hypothesis.
Since 𝛼 > p-value, we do not reject
the null hypothesis.
Since 𝛼 < p-value, we reject the null
hypothesis.
There is sufficient evidence that types of fries and location
are dependent.
There is not sufficient evidence that types of fries and
location are dependent.
skinny french fries have been decreasing. As a part of a
feasibility study, the company conducts research into the types of
fries sold across the country to determine if the type of fries
sold is INDEPENDENT of the area of the country. The results of the
study are shown in the table below. Conduct a test of INDEPENDENCE.
(Use a significance level of 0.05.)
Part (a)
The types of fries sold are DEPENDENT on the location.
The types of fries sold are INDEPENDENT of the
location.
Part (b)
The types of fries sold are DEPENDENT on the location.
The types of fries sold are INDEPENDENT of the
location.
Part (C)
What is the test statistic? (Round your answer to two decimal
places.)
Part (D)
If H0 is true, then there is a
chance equal to the p-value that the value of the
test statistic will be equal to or less than the calculated
value.
If H0 is false, then there is a
chance equal to the p-value that the value of the
test statistic will be equal to or less than the calculated
value.
If H0 is false, then there is a
chance equal to the p-value that the value of the
test statistic will be equal to or greater than the calculated
value.
If H0 is true, then there is a
chance equal to the p-value that the value of the
test statistic will be equal to or greater than the calculated
value.
Part (E)
reject the null hypothesis
do not reject the null hypothesis
Since 𝛼 < p-value, we do not reject
the null hypothesis.
Since 𝛼 > p-value, we reject the null
hypothesis.
Since 𝛼 > p-value, we do not reject
the null hypothesis.
Since 𝛼 < p-value, we reject the null
hypothesis.
There is sufficient evidence that types of fries and location
are dependent.
There is not sufficient evidence that types of fries and
location are dependent.