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Engineering Stats: What is the correct analysis to test this hypothesis? I have

ID: 3432116 • Letter: E

Question

Engineering Stats: What is the correct analysis to test this hypothesis?

I have to do 2-3 tests on this data using: RCBD, ANOVA, hypoth test(t-test,z-test), chi-squared,Taguchi, or regression analysis. How do i test this hypothesis. H0: Pay for engineers are the same across graduating school?

I don't need to have the problem solved I need to know the best methods to test the H0.

Engineering Stats: What is the correct analysis to test this hypothesis? I have to do 2-3 tests on this data using: RCBD, ANOVA, hypoth test(t-test,z-test), chi-squared,Taguchi, or regression analysis. How do i test this hypothesis. H0: Pay for engineers are the same across graduating school? I don't need to have the problem solved I need to know the best methods to test the H0.

Explanation / Answer

H0: Pay for engineers are the same across different location

Ha: Atleast two are different

(two sided chi square test)

Two-way Contingency Table


?2 = 0.367,     df = 9,     ?2/df = 0.04 ,         P(?2 > 0.367) = 1.0000

As p value is very high, accept null hypothesis.

Conclusion: Pay for engineers are the same across different location


New York Houston San Fran Miami Indl 67
66.53
( 0.00) 65
64.96
( 0.00) 70
71.93
( 0.05) 63
61.59
( 0.03) 265 Elec 76
76.07
( 0.00) 74
74.27
( 0.00) 83
82.24
( 0.01) 70
70.42
( 0.00) 303 Civil 73
74.82
( 0.04) 75
73.05
( 0.05) 80
80.88
( 0.01) 70
69.26
( 0.01) 298 Mech 80
78.58
( 0.03) 75
76.72
( 0.04) 87
84.95
( 0.05) 71
72.74
( 0.04) 313 296 289 320 274 1179