QI(a) The following contingency table shows the annual salary of 300 respondents. Annual Salary (RM "000) 30 -70 (M) 27 46 30 Age Group Below 30 (L.) 51 29 Above 70 (H) 22 35 40 Below 30 (B) 30-40 (C) Above (A) 20 ) Show whether there is any evidence of a significant association between age group and annual salary. Use a = 0.01. (ii) Construct a 99% confidence interval for the true proportion of respondents with annual salary above RM70000. Thus, interpret the answer. (ii) It is claimed that the proportion of respondents who are below 30 years old and cam above RM 70000 is 8%. Can the claim be supported at 2% level of significance?

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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QI(a) The following contingency table shows the annual salary of 300 respondents.
Age Group
Annual Salary (RM '000)
30-70 (M)
27
Above 70 (H)
22
35
Below 30 (L)
Below 30 (B)
30-40 (C)
Above (A)
51
29
46
20
30
40
() Show whether there is any evidence of a significant association between age group and
annual salary. Use a = 0.01.
(i) Construct a 99% confidence interval for the true proportion of respondents with annual
salary above RM70000. Thus, interpret the answer.
(ii) It is claimed that the proportion of respondents who are below 30 years old and ean above
RM 70000 is 8%. Can the claim be supported at 2% level of significance?
Transcribed Image Text:QI(a) The following contingency table shows the annual salary of 300 respondents. Age Group Annual Salary (RM '000) 30-70 (M) 27 Above 70 (H) 22 35 Below 30 (L) Below 30 (B) 30-40 (C) Above (A) 51 29 46 20 30 40 () Show whether there is any evidence of a significant association between age group and annual salary. Use a = 0.01. (i) Construct a 99% confidence interval for the true proportion of respondents with annual salary above RM70000. Thus, interpret the answer. (ii) It is claimed that the proportion of respondents who are below 30 years old and ean above RM 70000 is 8%. Can the claim be supported at 2% level of significance?
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