At a certain college, it is estimated that approximately 19% of the students ride bicycles to school. Would you consider this to be valid estimate if, in a random sample of 85 college students, 20 are found to ride bicycles to class
The following null and alternative hypotheses for the population proportion needs to be tested:
"H_0:p=0.19"
"H_a:p\\not=0.19"
This corresponds to a two-tailed test, for which a z-test for one population proportion will be used.
Based on the information provided, the significance level is "\\alpha = 0.05," and the critical value for a two-tailed test is "z_c =1.96."
The rejection region for this two-tailed test is "R = \\{z: |z| > 1.96\\}."
The z-statistic is computed as follows:
Since it is observed that "|z|=1.0645< 1.96=z_c," it is then concluded that the null hypothesis is not rejected.
Using the P-value approach:
The p-value is "p=2P(Z>1.0645)=0.287102," and since "p=0.287102>0.05=\\alpha," it is concluded that the null hypothesis is not rejected.
Therefore, there is not enough evidence to claim that the population proportion "p" is different than "0.19," at the "\\alpha = 0.05" significance level.
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