In: Statistics and Probability
Suppose the coffee industry claimed that the average adult drinks 1.7 cups of coffee per day. To test this claim, a random sample of 50 adults was selected, and their average coffee consumption was found to be 1.9 cups per day. Assume the standard deviation of daily coffee consumption per day is 0.5 cups using a significant level of 0.01
A. The z-test statistic is =
(round to two decimal places)
B. The critical z-score(s) are= (round to two decimal places)
(there should be two answers here one positive and one negative)
C. The p-value is=
(round to three decimal places)
Solution:
This is a two tailed test.
The null and alternative hypothesis is,
Ho:
1.7
Ha:
1.7
A)
The test statistics,
Z =(
-
)/ (
/
n)
= ( 1.9 - 1.7 ) / ( 0.5 /
50 )
= 2.83
B)
Critical value of the significance level is α = 0.01, and the critical value for a two-tailed test is
= 2.58 and -2.58
C)
P-value = 2 * P(Z > z )
= 2 * ( 1 - P(Z < 2.83 ))
= 2 * 0.0023
= 0.0046
The p-value is p = 0.0046, and since p = 0.0046 < 0.01, it is concluded that the null hypothesis is rejected.
There is sufficient evidence to claim that the average adult drinks 1.7 cups of coffee per day.