In: Statistics and Probability
For the data in the Excel file Education and Income, find 95% confidence intervals for the mean annual income of males and the mean annual income of females. Can you conclude that the mean income of one group is larger than the other?
Education and Income | |||
Gender | Age | Level of Education | Gross Annual Income |
Female | 40-60 | Graduate Degree | $75,000 |
Female | 25-39 | Bachelor's Degree | $47,000 |
Male | 40-60 | High School/GED | $40,000 |
Female | 25-39 | Some College | $30,000 |
Female | 25-39 | Some College | $60,000 |
Female | 40-60 | Bachelor's Degree | $80,000 |
Female | 25-39 | Bachelor's Degree | $10,000 |
Female | 25-39 | Bachelor's Degree | $43,000 |
Male | 25-39 | Bachelor's Degree | $130,000 |
Female | 40-60 | Bachelor's Degree | $89,000 |
Female | 40-60 | Graduate Degree | $50,000 |
Female | 18-24 | Some College | $13,462 |
Female | 25-39 | Bachelor's Degree | $85,000 |
Male | 25-39 | Bachelor's Degree | $60,000 |
Male | 40-60 | Graduate Degree | $200,000 |
Female | 25-39 | Associates Degree | $44,000 |
Male | 25-39 | High School/GED | $26,000 |
Male | 25-39 | Some College | $46,100 |
Male | 25-39 | Graduate Degree | $15,000 |
Female | 25-39 | Some College | $15,288 |
Male | 25-39 | Bachelor's Degree | $58,000 |
Female | 18-24 | Bachelor's Degree | $10,000 |
Female | 25-39 | Bachelor's Degree | $85,000 |
Male | 18-24 | Bachelor's Degree | $20,000 |
The 95% confidence intervals for the mean annual income of males,
The data for males is,
Gender | Gross Annual Income |
Male | 40000 |
Male | 130000 |
Male | 60000 |
Male | 200000 |
Male | 26000 |
Male | 46100 |
Male | 15000 |
Male | 58000 |
Male | 20000 |
we know that,
where, t(8 df) corresponding to 95% confidence interval is 2.3060
The 95% confidence intervals for the mean annual income of females,
The data for females is,
Gender | Gross Annual Income |
Female | 75000 |
Female | 47000 |
Female | 30000 |
Female | 60000 |
Female | 80000 |
Female | 10000 |
Female | 43000 |
Female | 89000 |
Female | 50000 |
Female | 13462 |
Female | 85000 |
Female | 44000 |
Female | 15288 |
Female | 10000 |
Female | 85000 |
we know that,
where, t(14 df) corresponding to 95% confidence interval is 2.1448
To test whether mean income of one group is larger than the other,
Hypothesis,
We know that,
t = 0.9153
T*(22df) = 1.7171
The corresponding p value is, p = 0.1850
Assuming the level of significance is 0.05
We fail to reject the null hypothesis, since the p value is greater than the level of significance.
Therefore, We cannot conclude that the mean income of one group is larger than the other