In: Statistics and Probability
A large furniture store has begun a new ad campaign on local television. Before the campaign, the long-term average daily sales were $24,819. A random sample of 40 days during the new ad campaign gave a sample mean daily sale average of = $25,910. Does this indicate that the population mean daily sales are now more than $24,819? Use a 1% level of significance. Assume σ = $2159. Based on the calculated P-value will you reject or fail to reject the null hypothesis?
Select one:
a. reject the null hypothesis / data is significant
b. fail to reject the null hypothesis
c. cannot be determined
Interpret your conclusion in the context of the problem.
Select one:
a. At the 1% level of significance, data is sufficient to conclude that the long-term daily average sales is now greater than $24,819.
b. At the 1% level of significance, data is insufficient to conclude that the long-term daily average sales is now greater than $24,819.
c. At the 1% level of significance, data is sufficient to conclude that the long-term daily average sales is different than $24,819.
d. At the 1% level of significance, data is insufficient to conclude that the long-term daily average sales is now less than $24,819.
Here we have given that,
Claim: To check whether the population mean daily sales are more than $24819 .
The Hypothesis is as follows
v/s
We have given that,
n= Number of observation = 40
= sample mean =$ 25910
and we assume that
= population standard deviation =$ 2159
Now, we can find the test statistic
= 3.20
we get,
the Test statistic is 3.20
Now we find the P-value
= level of significance=0.01
This is one Right tailed test
Now, we can find the P-value
P-value =(P(Z > z)
=[1- P( Z < 3.20) ]
= [ 1 - 0.9993 ] using standard normal z probability table
= 0.0007
we get the P-value is 0.0007
Decision:
P-value < 0.01 ()
That is we reject Ho (Null Hypothesis) / data is significant
that is here option A is correct.
Conclusion:
There is the sufficient evidence that the population mean daily sales are more than $24819
At the 1% level of significance, data is sufficient to conclude that the long-term daily average sales is now greater than $24,819.
That is here option A is correct.