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Exhibit 17

question 29

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Exhibit 17.2.To examine the differences between salaries of male and female middle managers of a large bank,90 individuals were randomly selected and 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.
Also,the following Excel partial outputs corresponding to the following models are available:
Model A: Salary = β0 + β1Educ + β2Exper + β3Train + β4Gender + ε Exhibit 17.2.To examine the differences between salaries of male and female middle managers of a large bank,90 individuals were randomly selected and 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. Also,the following Excel partial outputs corresponding to the following models are available: 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   Refer to Exhibit 17.2.A group of female managers considers a discrimination lawsuit if on average their salaries can be statistically proven to be lower by more than $500 than the salaries of their male peers with the same level of education and experience.Using Model B,what is the alternative hypothesis for testing the lawsuit condition? A) H<sub>A</sub>: β<sub>3</sub> ≤ 500 B) H<sub>A</sub>: β<sub>3</sub> < 500 C) H<sub>A</sub>: β<sub>3</sub> ≠ 500 D) H<sub>A</sub>: β<sub>3</sub> > 500 Model B: Salary = β0 + β1Educ + β2Exper + β3Gender + ε Exhibit 17.2.To examine the differences between salaries of male and female middle managers of a large bank,90 individuals were randomly selected and 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. Also,the following Excel partial outputs corresponding to the following models are available: 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   Refer to Exhibit 17.2.A group of female managers considers a discrimination lawsuit if on average their salaries can be statistically proven to be lower by more than $500 than the salaries of their male peers with the same level of education and experience.Using Model B,what is the alternative hypothesis for testing the lawsuit condition? A) H<sub>A</sub>: β<sub>3</sub> ≤ 500 B) H<sub>A</sub>: β<sub>3</sub> < 500 C) H<sub>A</sub>: β<sub>3</sub> ≠ 500 D) H<sub>A</sub>: β<sub>3</sub> > 500 Refer to Exhibit 17.2.A group of female managers considers a discrimination lawsuit if on average their salaries can be statistically proven to be lower by more than $500 than the salaries of their male peers with the same level of education and experience.Using Model B,what is the alternative hypothesis for testing the lawsuit condition?


Definitions:

Cultural Patterns

The shared and repetitive ways of thinking, feeling, and behaving that characterize a particular social group.

Government Policies

Guidelines or principles directed by a country's government to influence decisions and allocate resources.

Intercultural Contact

The interaction between people from different cultural backgrounds, which can lead to increased understanding or cultural exchange.

Outgroup Stereotypes

Preconceived notions or generalized beliefs about groups that individuals do not identify as belonging to, often leading to biased judgments.

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