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To Examine the Differences Between Salaries of Male and Female

question 50

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To examine the differences between salaries of male and female middle managers of a large bank,90 individuals were randomly selected,and two models were created with the following variables considered: Salary = the monthly salary (excluding fringe benefits and bonuses) ,
Educ = the number of years of education,
Exper = the number of months of experience,
Train = the number of weeks of training,
Gender = the gender of an individual;1 for males,and 0 for females.
Excel partial outputs corresponding to these models are available and shown below.
Model A: Salary = β0 + β1 Educ + β2 Exper + β3 Train + β4 Gender + ε To examine the differences between salaries of male and female middle managers of a large bank,90 individuals were randomly selected,and two models were created with the following variables considered: Salary = the monthly salary (excluding fringe benefits and bonuses) , Educ = the number of years of education, Exper = the number of months of experience, Train = the number of weeks of training, Gender = the gender of an individual;1 for males,and 0 for females. Excel partial outputs corresponding to these models are available and shown below. Model A: Salary = β<sub>0</sub> + β<sub>1</sub> Educ + β<sub>2</sub> Exper + β<sub>3</sub> Train + β<sub>4</sub> Gender + ε   Model B: Salary = β<sub>0</sub> + β<sub>1</sub> Educ + β<sub>2</sub> Exper + β<sub>3</sub> Gender + ε   When testing the individual significance of Train in Model A,what is the test conclusion at 10% significance level? A)  Do not reject H<sub>0</sub>;Train is significant. B)  Reject H<sub>0</sub>;Train is significant. C)  Reject H<sub>0</sub>;Train does not seem to be significant. D)  Do not reject H<sub>0</sub>;Train does not seem to be significant. Model B: Salary = β0 + β1 Educ + β2 Exper + β3 Gender + ε To examine the differences between salaries of male and female middle managers of a large bank,90 individuals were randomly selected,and two models were created with the following variables considered: Salary = the monthly salary (excluding fringe benefits and bonuses) , Educ = the number of years of education, Exper = the number of months of experience, Train = the number of weeks of training, Gender = the gender of an individual;1 for males,and 0 for females. Excel partial outputs corresponding to these models are available and shown below. Model A: Salary = β<sub>0</sub> + β<sub>1</sub> Educ + β<sub>2</sub> Exper + β<sub>3</sub> Train + β<sub>4</sub> Gender + ε   Model B: Salary = β<sub>0</sub> + β<sub>1</sub> Educ + β<sub>2</sub> Exper + β<sub>3</sub> Gender + ε   When testing the individual significance of Train in Model A,what is the test conclusion at 10% significance level? A)  Do not reject H<sub>0</sub>;Train is significant. B)  Reject H<sub>0</sub>;Train is significant. C)  Reject H<sub>0</sub>;Train does not seem to be significant. D)  Do not reject H<sub>0</sub>;Train does not seem to be significant. When testing the individual significance of Train in Model A,what is the test conclusion at 10% significance level?


Definitions:

Cross-sectional

A type of observational study that analyzes data from a population, or a representative subset, at a specific point in time.

Prenatal Period

The developmental phase before birth, encompassing the time from conception to the onset of labor.

Conception

The process of forming an idea or the initial stage when an idea, theory, or plan is formed in the mind.

Birth

marks the process of coming into life or entering the world, typically referring to the moment when a baby emerges from its mother's womb.

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