Mean vs individual (point) values.

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I would like you to discuss what inference CLT enable us to make, i.e., about mean vs individual (point) values.

CLT, for example, could help with determination of whether there is a concern in a company if both genders are promoted equally. As a case study, you can discuss the following experiment on male bank supervisors attending a management institute. The supervisors were asked to make decisions on whether to promote a hypothetical applicant based on a personnel file. Applicants were chosen randomly half males and half female applicants and randomly assigned to the managers. In this case, we might be interested in testing whether discrimination was a factor by formally looking at average number of males vs females promoted. In broad strokes, explain how you would test this hypothesis by using concepts we discussed so far.


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Select an advertisement (ad) – you can choose to search for an ad by company, product, date, publication, subject, medium, headline, and/or audience.

b.       Using the guidelines at http://webaim.org/techniques/alttext/  write “alternative text” for the image you’ve selected.

c.       Then, analyze your selected ad for the four appeals – logospathosethos andkairos.

d.       Organize your written analysis into sections, i.e., “Logos,” “Pathos,” “Ethos” and “Kairos.”

e.       Include the URL/link to the image you’ve selected so that your peers are able to view the image you’ve analyzed.