QUESTION: A study believes that 70% of adults in the Philippines own a cellphone.
A cellphone manufacturer believes that the actual number is much
less than 70%. 100 Filipino adults were surveyed, of which 74 have
cellphones. Using a 5% level of significance, is the cellphone
manufacturer’s claim valid or not?
CLAIM:
EVIDENCE:
REASONING:
Claim: the actual number is much less than 70%.
The following null and alternative hypotheses for the population proportion needs to be tested:
"H_0:p\\ge0.70"
"H_a:p<0.70"
This corresponds to a left-tailed test, for which a z-test for one population proportion will be used.
Evidence:
Based on the information provided, the significance level is "\\alpha = 0.05\n\n," and the critical value for a left-tailed test is "z_c = -1.6449."
The rejection region for this left-tailed test is "R = \\{z: z < -1.6449\\}."
The z-statistic is computed as follows:
Since it is observed that "z = 2.1822 \\ge-1.6449= z_c," it is then concluded that the null hypothesis is not rejected.
Using the P-value approach:
The p-value is "p=P(Z<2.1822)= 0.985453," and since "p= 0.985453>0.05=\\alpha," it is concluded that the null hypothesis is not rejected.
Reasoning:
Therefore, there is not enough evidence to claim that the population proportion "p" is less than 0.70, at the "\\alpha = 0.05" significance level.
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