Real Fruit Juice: A 32 ounce can of a popular fruit drink claims to contain 20% real fruit juice. Since this is a 32 ounce can, they are actually claiming that the can contains 6.4 ounces of real fruit juice. The consumer protection agency samples 44 such cans of this fruit drink. Of these, the mean volume of fruit juice is 6.32 with standard deviation of 0.23. Test the claim that the mean amount of real fruit juice in all 32 ounce cans is 6.4 ounces. Test this claim at the 0.05significance level.
(a) What type of test is this?
This is a right-tailed test.This is a two-tailed test. This is a left-tailed test.
(b) What is the test statistic? Round your answer to 2
decimal places.
tx=
(c) Use software to get the P-value of the test statistic.
Round to 4 decimal places.
P-value =
(d) What is the conclusion regarding the null hypothesis?
reject H0fail to reject H0
(e) Choose the appropriate concluding statement.
There is enough data to justify rejection of the claim that the mean amount of real fruit juice in all 32 ounce cans is 6.4 ounces.There is not enough data to justify rejection of the claim that the mean amount of real fruit juice in all 32 ounce cans is 6.4 ounces. We have proven that the mean amount of real fruit juice in all 32 ounce cans is 6.4 ounces.We have proven that the mean amount of real fruit juice in all 32 ounce cans is not 6.4 ounces.
(A) it is a two tailed hypothesis
because we have to test whether the mean weight is 6.4 ounces or not.
(B) Using TI 84 calculator
press stat then tests then TTest
enter the data
press calculate
test statistic = -2.31
(c) p value = 0.0258
(D) Reject Ho because p value is less than significance level
(E) There is enough data to justify rejection of the claim that the mean amount of real fruit juice in all 32 ounce cans is 6.4 ounces.
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