А. The population variances are approximately equal. В. Both populations of salaries (male and female) must have approximate normal distributions. С. The samples were randomly and independently selected. O D. All of the above assumptions were necessary.
А. The population variances are approximately equal. В. Both populations of salaries (male and female) must have approximate normal distributions. С. The samples were randomly and independently selected. O D. All of the above assumptions were necessary.
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
Transcribed Image Text:Seleccione una:
А.
The population variances are approximately equal.
В.
Both populations of salaries (male and female) must have approximate normal distributions.
O C.
The samples were randomly and independently selected.
O D.
All of the above assumptions were necessary.

Transcribed Image Text:TABLE 10-2
A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting
salaries. Of primary interest to the researcher was the effect of gender on starting salaries. The result of the
pooled-variance t test of the mean salaries of the females (Population 1) and males (Population 2) in the sample is
given below.
Hypothesized Difference
Level of Significance
0.05
Population 1 Sample
Sample Size
Sample Mean
Sample Standard Deviation
18
99210
13577
Population 2 Sample
Sample Size
Sample Mean
Sample Standard Deviation
12
105820
11741
Difference in Sample Means
tTest Statistic
-6610
-1.37631
Lower-Tail Test
Lower Critical Value
p-Value
-1.70113
0.089816
Referring to Table 10-2, the researcher was attempting to show statistically that the female MBA graduates have a
significantly lower mean starting salary than the male MBA graduates. What assumptions were necessary to
conduct this hypothesis test?
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