Question

A researcher wonders whether males get paid more, on average, than females at a large firm. The accompanying data file shows the hourly wage (wage in $), years of higher education (educ), years of experience (expert), age (age), and a male dummy variable that equals 1 if male, 0 otherwise, for 50 employees.

a) Test the hypothesis of gender-based wage disparity
b) Analyze the correlation between age and education
c) Explore the impact of years of experience on wages
d) Examine the relationship between education and gender

Answer 1

To test the hypothesis of gender-based wage disparity, conduct a statistical test such as a t-test. Analyze the correlation between age and education using a correlation coefficient. Explore the impact of years of experience on wages using regression analysis. Examine the relationship between education and gender by comparing average wages at different education levels.

Step-by-step explanation:

The researcher is interested in testing the hypothesis of gender-based wage disparity at a large firm. One way to do this is by comparing the average wages of males and females. By conducting a statistical test such as a t-test, the researcher can determine if there is a significant difference in wages between the two genders.

To analyze the correlation between age and education, the researcher can calculate a correlation coefficient. This will indicate the strength and direction of the relationship between the two variables.

The impact of years of experience on wages can be explored using regression analysis. By fitting a regression model, the researcher can determine how much of the variation in wages can be explained by years of experience.

To examine the relationship between education and gender, the researcher can compare the average wages of males and females at different levels of education. By conducting a statistical test, the researcher can determine if there is a significant difference in wages based on gender at each level of education.