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    Compose an e-mail answering gender distribution

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    The data set for our course is a sample of a survey conducted on the population of the American Intellectual Union (AIU). It is available via the following link: DataSet with DataSet Key which contains the following nine sections of data that will be used throughout our course:

    (1) Gender (2) Age (3) Department (4) Position (5) Tenure (6) Overall Job Satisfaction (7) Intrinsic Job Satisfaction - Satisfaction with the actual performance of the job (8) Extrinsic Job Satisfaction- Things external to the job, e.g., office location, your work colleagues, your own office (cubicle/hard walled office, etc), and (9) Benefits - Health insurance, pension plan, vacation, sick days, etc.

    In each of the assignments in this course you will be dealing with the following scenario:

    A team has been assembled of researchers in the United States and around the world to study job satisfaction. Congratulations, you have been selected to participate in this massive global undertaking.

    The study will require that you examine data, analyze the results, and share the results with groups of other researchers. Job Satisfaction is important to companies large and small and understanding it provides managers with insights into human behavior that can be used to strengthen the company's bottom line.

    Using our data set from Unit 1, compose an email to the head of the American Intellectual Union which discusses the following:

    Begin your email by first providing an overview of the database, i.e. a story.

    Be sure to include information about how you would use the concept of probabilities to apply to profiles for hiring more satisfied individuals.

    (Job Satisfaction is an attitude about one's job. It may be measured globally or via facets (e.g. intrinsic/extrinsic). However, job satisfaction is a post hoc phenomenon. Using "profiles" developed via the DataSet to predict job satisfaction is not feasible. Further, the only variables you could use would be gender, age, department, position. To say, for example, that salaried females between 22-49 years of age and working in IT are more likely to be satisfied says nothing about potential hires. It probably says more about the way the department is managed and the resources available to accomplish tasks. Finally, unless job satisfaction is a performance criterion, it would most likely be illegal to use this concept.)

    Be sure to include other ways that probability is used in business. (Feel free to use the Business Source Premier Database in the Library as a resource to research.)

    Keeping in mind that in this email you are going to try to apply probabilities to profile hiring more satisfied individuals, discuss the following in your email:

    What is the gender distribution (% females and % males)?
    What is the "tenure with company" distribution by gender?
    What % of the survey participants are in each department?
    For each gender, what is the sample mean for overall satisfaction?
    If we choose a person at random from this database:
    What is the probability that this person will be between 22 and 49 years old?
    What is the probability that their overall job satisfaction is 4.7 or lower?
    What is the probability that this person will be a male in the information technology department?
    What is the probability that this person will be an hourly employee whose intrinsic satisfaction is 6 or more?
    Be sure to provide references in APA format for any resources you may use.

    Please submit your assignment.

    Instructor Comments:
    For the questions on probability, please consider each question separately. In other words, each question is independent from others. You will use all the 25 observations for each question.

    Data Key Set

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