A researcher randomly sampled 100 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. Analysis of the mean salaries of the females and males in the sample is given below. The researcher was attempting to show statistically that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates. According to the test run, estimate the P-value of the test.
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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: 0 Level of Significance: 0.05 Population 1 Sample Sample Size: 18 Sample Mean: 99210 Sample Standard Deviation: 13577 Population 2 Sample Sample Size: 12 Sample Mean: 105820 Sample Standard Deviation: 11741 Difference in Sample Means: -6610 t Test Statistic: -1.37631 Lower-Tail Test Lower Critical Value: -1.70113 p-Value: 0.089816 The researcher was attempting to show statistically that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates. From the analysis in Table 10-2, the correct test statistic is -1.3763. 0.0898. -1.7011. -6610.
David N.
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: The researcher was attempting to show statistically that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates. From the analysis in Table 10-2, the correct test statistic is -6610. 0.0898. -1.7011. -1.3763.
Adi S.
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. Analysis of the mean salaries of the females and males in the sample is given below. Females Males Sample size 18 12 Sample mean $48,266.7 $55,000 Sample standard deviation $13,577.63 $11,741.29 Standard Error = $4,764.82 Means Difference = - $6,733.3 Z = 1.4528 (2-tailed p value = 0.1463) t = -1.4221 (2-tailed p value = 0.1574) Referring to Table 1, the researcher was attempting to show statistically that the female MBA graduates have a significantly lower mean starting salary than the male MBA graduates. The correct test statistic is:
Sheryl E.
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