The learning outcomes for the course are listed below. For each of learning outcomes,write 1-2 paragraphs on how the skills and knowledge can be applied in your career (IT engineering), in the...

The learning outcomes for the course are listed below. For each of learning outcomes,

write 1-2 paragraphs on how the skills and knowledge can be applied in your career (IT engineering), in the organization in which you work (Amazon.com), or the industry in which you work (e-commerce). In your responses, articulate the skills you developed in the class and then describe specific examples in your career or industry in which they can be applied.

How will knowing how to do the following be useful in your career?

1. 
   
   
   Apply supply and demand concepts and use the graphical model to determine equilibrium prices and quantities for goods and services.
   
   
   




2. 
   
   
   Apply supply and demand concepts and use the graphical model to determine equilibrium effects on the market for currencies.
   
   
   




3. 
   
   
   Predict the impact that changes in exchange rates have on consumer behavior and business decisions.
   
   
   




4. 
   
   
   Describe the implications for market outcomes and business decisions for a perfectly competitive market.
   
   
   




5. 
   
   
   Describe the implications for market outcomes and business decisions in oligopolistic markets where firms have market power and their decisions are interdependent.
   
   
   




6. 
   
   
   Describe scale of measurement and identify and compute appropriate summary statistics for each scale of measurement.
   
   
   




7. 
   
   
   Choose, compute, and interpret statistical measures of center.
   
   
   




8. 
   
   
   Choose, compute, and interpret confidence intervals and hypothesis tests on means, and proportions.
   
   
   




9. 
   
   
   Compute, visualize and interpret linear correlation and simple linear regression results.
   
   
   




10. 
    
    
    Use Microsoft Excel to make the statistical computations described for statistical analysis.