A consumer research organization states that the mean caffeine content per 12-ounce bottle of a population of caffeinated soft drinks is 37.8 milligrams. You find a random sample of 48 12-ounce bottles of caffeinated soft drinks that has a mean caffeine content of 41.5 milligrams. Assume the population standard deviation is 12.5 milligrams. At α=0.05, what type of test is this and can you reject the organization’s claim using the test statistic?
Here we have given that,
Claim: To check whether the mean caffeine content per 12-ounce bottle of a population of caffeinated soft drinks is 37.8 milligrams.
The Hypothesis is as follows
v/s
We have given that,
n= Number of observation = 48
= sample mean =41.5
= population standard deviation =12.5
Now, we can find the test statistic
= 2.05
we get,
the Test statistic is 2.05
Now we find the P-value
= level of significance=0.05
This is two tailed test
Now, we can find the P-value
P-value =2*(P(Z > z)
= 2 * [1- P( Z < 2.05) ]
= 2 * [ 1 - 0.9798 ] using standard normal z probability table
= 2* [0.0202]
=0.0404
we get the P-value is 0.0404
Decision:
P-value < 0.05 ()
That is we reject Ho (Null Hypothesis)
Conclusion
There is the sufficient evidence that the mean caffeine content per 12-ounce bottle of a population of caffeinated soft drinks is 37.8 milligrams.
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