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To Examine the Differences Between Salaries of Male and Female

question 99

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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 + β1Educ + β2Exper + β3Train + β4Gender + 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   For a test of individual significance about gender, what is the conclusion at 5% significance level? A)  Do not reject H<sub>0</sub>; we can conclude gender is significant. B)  Reject H<sub>0</sub>; we can conclude gender is significant. C)  Reject H<sub>0</sub>; we cannot conclude gender is significant. D)  Do not reject H<sub>0</sub>; we cannot conclude gender is significant. Model B: Salary = β0 + β1Educ + β2Exper + β3Gender + 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   For a test of individual significance about gender, what is the conclusion at 5% significance level? A)  Do not reject H<sub>0</sub>; we can conclude gender is significant. B)  Reject H<sub>0</sub>; we can conclude gender is significant. C)  Reject H<sub>0</sub>; we cannot conclude gender is significant. D)  Do not reject H<sub>0</sub>; we cannot conclude gender is significant. For a test of individual significance about gender, what is the conclusion at 5% significance level?


Definitions:

Dysfunctional Behavioral Pattern

A recurring, maladaptive behavior that adversely affects an individual's ability to function in daily life.

Task Group

a collection of individuals brought together to achieve a specific goal or complete a particular task.

Patterned Behavior

Repeated actions or conduct that are regular and predictable, often forming part of the social or psychological makeup of an individual or group.

Share Power

The distribution of authority and decision-making among members of a group or community.

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