Mean entry-level salaries for college graduates with mechanical
engineering degrees and electrical engineering degrees are believed
to be approximately the same. A recruiting office thinks that the
mean mechanical engineering salary is actually lower than the mean
electrical engineering salary. The recruiting office randomly
surveys 50 entry level mechanical engineers and 52 entry level
electrical engineers. Their mean salaries were $46,200 and $46,700,
respectively. Their standard deviations were $3440 and $4230,
respectively. Conduct a hypothesis test at the 5% level to
determine if you agree that the mean entry- level mechanical
engineering salary is lower than the mean entry-level electrical
engineering salary. Let the subscript m = mechanical and
e = electrical.
NOTE: If you are using a Student's t-distribution for the
problem, including for paired data, you may assume that the
underlying population is normally distributed. (In general, you
must first prove that assumption, though.)
Part (d) State the distribution to use for the test. (Enter your answer in the form z or tdf where df is the degrees of freedom. Round your answer to two decimal places.)
Part (e) What is the test statistic? (If using the z distribution round your answer to two decimal places, and if using the t distribution round your answer to three decimal places.)
Part (f) What is the p-value? (Round your answer to four decimal places.)
Answer:
Given,
Ho : u1-u2 >= 0
Ha : u1-u2 < 0
test statistic t = (x1 - x2)/sqrt(s1^2/n2 + s2^2/n2)
substitute values
= (46200 - 46700)/sqrt(3440^2/50 + 4230^2/52)
t = - 0.66
degree of freedom = (s1^2/n2 + s2^2/n2)^2 / [(s1^2/n2)^2/(n1-1) + (s2^2/n2)^2/(n2-1)]
substitute values
= (3440^2/50 + 4230^2/52)^2 / [(3440^2/50)^2/49 + (4230^2/52)^2/51]
= 97.35
= 98
P value = 0.255401
= 0.2554
Here we observe that, p value > alpha, so we fail to reject Ho.
So there is no sufficient evidence to support the claim.
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