Question

In: Statistics and Probability

The American Society for Quality (ASQ) conducted a salary survey of all its members. ASQ members...

The American Society for Quality (ASQ) conducted a salary survey of all its members. ASQ members work in all areas of manufacturing and service-related institutions, with a common theme of an interest in quality. Two job titles are master black belt and green belt. (These are titles established by a Six Sigma quality improvement initiative.) Descriptive statistics concerning salaries for these two job titles are given in the following table:

job title sample size mean standard Deviation
black belt 141 88,945 21,791
green belt 26 64,794 25,911

a. Using a 0.05 level of significance, is there a difference in the variability of salaries between black belts and green belts?

b. Based, on the results of (a), which T-Test would you use to appropriately compare mean salaries?

c. Using, a 0.05 level of significance, is the mean salary of black belts greater than the mean salary of green belts?

Solutions

Expert Solution

a.

We need to check for homogeneity of variances.

H0:

H1:

Test statistic, F = s22 / s12   = 259112 / 217912  = 1.414

Numerator df = n2 - 1 = 26 - 1 = 25

Denominator df = n1 - 1 = 141 - 1 = 140

Critical value of F at 0.05 significance level and df = 25, 140 is 1.58

Since the observed F (1.414) is less than the critical value, we conclude that there is no significant evidence of a difference in the variability of salaries between black belts and green belts.

b.

Since, we assume that the population standard deviations of both groups to be equal and we can apply Pooled t-test.

c.

Let and be the mean salary of black belts and green belts respectively.

H0:

H1:

Pooled variance Sp2 = [(n1 - 1) s12   + (n2 - 1)s22 ] / (n1 + n2 - 2)

= [(141 - 1) 217912 + (26 - 1) 259112 ] / (141 + 26 -2)

= 504625293

Standard error of mean difference = sqrt( Sp2 * ((1/n1) + (1/n2)))

= sqrt( 504625293 * ((1/141) + (1/26)))

= 4794.535

Test statistic, t = (x1 - x2) / Std error

= (88945 - 64794) / 4794.535

= 5.037

Degree of freedom = n1 + n2 - 2 = 141 + 26 - 2 = 165

P-value = P(t > 5.037, df = 165) = 0.0000

Since p-value is less than 0.05 significance level, we reject null hypothesis H0 and conclude that there is significant evidence that the mean salary of black belts greater than the mean salary of green belts.


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