Question
A transportation manager claims that over 86% of train travelers buy their tickets before boarding the train. Only a small number of people on the
A transportation manager claims that over 86% of train travelers buy their tickets before boarding the train. Only a small number of people on the train will be checked on the train to see whether they bought a ticket before boarding. Suppose that information about a random sample of 504 train travelers was collected and 57 of them did not purchase a ticket before boarding.By answering the following question, test at the 5% significance level if the manager's claim is supported by the survey data.
Question 1
Letpdenote the proportion of train travelers who bought train tickets before boarding the train. The correct hypotheses are:
a) H0: p = 0.86 and H1: p > 0.86
b) H0:p< 0.86 and H1:p= 0.86
c) H0:p= 0.86 and H1:p< 0.86
d) H0:p 0.11 and H1:p> 0.11
e ) H0:p< 0.11 and H1:p> 0.11
Question 2
Assuming that the null hypothesis is true, what is the standard error of the sample proportion?
a) 0.0155
b) 0.4267
c) 0.4723
d) 0.0272
e) 0.0813
Question 3
The corresponding test statistic value is:
a) -1.009
b) 1.74
c) 1.047
d) 1.254
e) 1.001
Question 4
The critical value for the test is:
a) -1.28
b) -1.64
c) 1.96
d) 1.64
e) -2.33
Question 5
The decision and conclusion for this test are:
a) test statistic > critical value, thus H0cannot be rejected. There is insufficient evidence supporting the manager's claim.
b) test statistic > critical value, thus H0is rejected. There is enough evidence supporting the manager's claim.
c) test statistic < critical value, thus H0is rejected. There is enough evidence supporting the manager's claim.
d) test statistic < critical value, thus H0cannot be rejected. There is insufficient evidence supporting the manager's claim.
Question 6
The manager would like to estimate the proportion of travelers who buy their tickets before boarding the train using a 0.08 margin of error and a 10% significance level, what sample size should they use? Use the proportion of the customers who bought a ticket in advance from the information given in the above problem statement.
a) 96
b) 88
c) 56
d) 43
e)95
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