Answer: given below
Explanation:
we will start by carefully analyzing the question, as it looks tricky.
(a). Let us test the hypothesis, here we say that the proportion of adults own cell phones differs from 92 % at a 5 % significance level.
testing the null and alternative hypothesis gives;
Hₐ : p is not equal to 0.92
H₀ : p = 0.92
∴ this makes the hypothesis two-tailed
(b). From the MINI TAB output, the Z-test statistics is -1.69
(c). From the Stat Crunch output, the p- value for this test is 0.091
(d). The conclusion of this is that, the p - value is higher than 0.05 which is 0.091, that tells us that the null hypothesis doesn't get rejected at 5 % level of significance.
(e). In conclusion;
i will say that the result is not significant because there is no enough of evidence to tell that the proportion of adults own cell phones is different from 92 %.
cheers i hope this helps!!