Are job applicants with easy to pronounce last names just as likely to get called for an interview than applicants with difficult to pronounce last names. 633 job applications were sent out with last names that are easy to pronounce and 703 identical job applications were sent out with names that were difficult to pronounce. 484 of the "applicants" with easy to pronounce names were called for an interview while 562 of the "applicants" with difficult to pronounce names were called for an interview. What can be concluded at the 0.10 level of significance? For this study, we should use [z-test for the difference between two population proportions a. The null and alternative hypotheses would be: Ho: p1 H₁: p1 b. The test statistic z c. The p-value= d. The p-value is p2 e. Based on this, we should fail to reject p2 (please enter a decimal) (Please enter a decimal) (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) the null hypothesis. f. Thus, the final conclusion is that ... O The results are statistically significant at = 0.10, so there is sufficient evidence to conclude that the proportion of the 633 applicants with easy to pronounce names who got called for an interview is not the same as the proportion of the 703 applicants with difficult to pronounce names who got called for an interview. O The results are statistically insignificant at x = 0.10, so we can conclude that the population proportion of people with easy to pronounce names who get called for an interview is equal to the population proportion of people with difficult to pronounce names who get called for an interview. The results are statistically insignificant at x = 0.10, so there is insufficient evidence to conclude that among all possible applicants, there is a differnece in the population proportion of callbacks for applicants with easy to pronounce last names and applicants with difficult to pronounce names. O The results are statistically significant at a = 0.10, so there is sufficient evidence to conclude that among all possible applicants, there is a differnece in the population proportion of callbacks for applicants with easy to pronounce last names and applicants with difficult to pronounce names.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Are job applicants with easy to pronounce last names just as likely to get called for an interview than
applicants with difficult to pronounce last names. 633 job applications were sent out with last names that
are easy to pronounce and 703 identical job applications were sent out with names that were difficult to
pronounce. 484 of the "applicants" with easy to pronounce names were called for an interview while 562 of
the "applicants" with difficult to pronounce names were called for an interview. What can be concluded at
the 0.10 level of significance?
For this study, we should use [z-test for the difference between two population proportions
a. The null and alternative hypotheses would be:
Ho: p1
H₁:
p1
b. The test statistic z
c. The p-value =
d. The p-value is
#
a
p2
e. Based on this, we should fail to reject
p2
(please enter a decimal)
(Please enter a decimal)
(please show your answer to 3 decimal places.)
(Please show your answer to 4 decimal places.)
the null hypothesis.
f. Thus, the final conclusion is that ...
O The results are statistically significant at a = 0.10, so there is sufficient evidence to conclude
that the proportion of the 633 applicants with easy to pronounce names who got called for an
interview is not the same as the proportion of the 703 applicants with difficult to pronounce
names who got called for an interview.
O The results are statistically insignificant at a = 0.10, so we can conclude that the population
proportion of people with easy to pronounce names who get called for an interview is equal to
the population proportion of people with difficult to pronounce names who get called for an
interview.
The results are statistically insignificant at x = 0.10, so there is insufficient evidence to
conclude that among all possible applicants, there is a differnece in the population proportion
of callbacks for applicants with easy to pronounce last names and applicants with difficult to
pronounce names.
O The results are statistically significant at x = 0.10, so there is sufficient evidence to conclude
that among all possible applicants, there is a differnece in the population proportion of
callbacks for applicants with easy to pronounce last names and applicants with difficult to
pronounce names.
Transcribed Image Text:Are job applicants with easy to pronounce last names just as likely to get called for an interview than applicants with difficult to pronounce last names. 633 job applications were sent out with last names that are easy to pronounce and 703 identical job applications were sent out with names that were difficult to pronounce. 484 of the "applicants" with easy to pronounce names were called for an interview while 562 of the "applicants" with difficult to pronounce names were called for an interview. What can be concluded at the 0.10 level of significance? For this study, we should use [z-test for the difference between two population proportions a. The null and alternative hypotheses would be: Ho: p1 H₁: p1 b. The test statistic z c. The p-value = d. The p-value is # a p2 e. Based on this, we should fail to reject p2 (please enter a decimal) (Please enter a decimal) (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) the null hypothesis. f. Thus, the final conclusion is that ... O The results are statistically significant at a = 0.10, so there is sufficient evidence to conclude that the proportion of the 633 applicants with easy to pronounce names who got called for an interview is not the same as the proportion of the 703 applicants with difficult to pronounce names who got called for an interview. O The results are statistically insignificant at a = 0.10, so we can conclude that the population proportion of people with easy to pronounce names who get called for an interview is equal to the population proportion of people with difficult to pronounce names who get called for an interview. The results are statistically insignificant at x = 0.10, so there is insufficient evidence to conclude that among all possible applicants, there is a differnece in the population proportion of callbacks for applicants with easy to pronounce last names and applicants with difficult to pronounce names. O The results are statistically significant at x = 0.10, so there is sufficient evidence to conclude that among all possible applicants, there is a differnece in the population proportion of callbacks for applicants with easy to pronounce last names and applicants with difficult to pronounce names.
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