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strojnjashka [21]
3 years ago
9

Which of the following is an instance of stereotyping in advertising?

Business
2 answers:
77julia77 [94]3 years ago
7 0
<span>Stereotyping in the advertising industry is a major issue, which can have serious implications in the form of backlash against a product or company. In this case, scenario D, the depiction of women as homemakers, would be a very concerning example of such stereotypes. While this role may have been "traditional" in decades and centuries past, it is not at all in line with today's accepted cultural norms, and would be likely to upset many consumers.</span>
Radda [10]3 years ago
3 0
<span>D.The depiction of women as homemakers

The above is an instance of stereotyping in advertising because it reflects the stereotype of women (rather than men) being homemakers and enthusiastic about cleaning products, household chores and cooking. Stereotypes are harmful and limiting because they encourage untrue and outdated beliefs, stifling social growth and changes in perspective. </span><span>
</span>
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Answer:

A. The money demand curve shifts to the right.

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Employee involvement and participation (eip) management is a method of management where ________.
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At a large department store, the number of years of employment for a cashier is a normally distributed variable with a mean of 5
Yakvenalex [24]

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0.0084

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For this probability problem, we will have to make use of the normal probability distribution table.

to use the table, we will have to compute a certain value

z = (x- mean) /Standard deviation

z = \frac{(10 - 5.7)}{1.8} = 2.39

Probability he has worked in the store for over 10 years can be obtained by taking the z value of 2.39 to the normal probability distribution table to read off the values.

<em>To do this, on the  "z" column, we scan down the value 2.3. we then trace that row until we reach the value under the ".09" column. </em>

This gives us 0.99916

Thus we have P (Z < 2.39) = 0.9916

We subtract the value obtained from the table from 1 to get the probability required.

1 - 0.9916 = 0.0084

The Probability that the employee has worked at the store for over 10 years = 0.0084

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kipiarov [429]

Answer: Option (E)

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