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To Examine the Differences Between Salaries of Male and Female

question 44

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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   Which of the following explanatory variables in Model A is most likely to be tested for the individual significance? A)  Educ B)  Exper C)  Train D)  Gender 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   Which of the following explanatory variables in Model A is most likely to be tested for the individual significance? A)  Educ B)  Exper C)  Train D)  Gender Which of the following explanatory variables in Model A is most likely to be tested for the individual significance?


Definitions:

Meta-Analysis

A statistical analysis that combines the results of multiple scientific studies to arrive at a comprehensive conclusion.

Scientific Evidence

Information and data that have been collected and analyzed according to the scientific method to support or refute a hypothesis.

Operational Definitions

Explicit explanations of variables or phenomena in terms of the specific procedures or measures used to determine their presence.

Biases

Systematic patterns of deviation from norm or rationality in judgment, where particular conclusions may be favored over others.

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