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Fantom [35]
1 year ago
6

In 2000 Campbell Soup Company launched an ad campaign that showed prepubescent boys offering soup to prepubescent girls. The gir

ls declined because they were concerned about their calorie intake, but the boys explained that "lots of Campbell’s soups are low in calories," which made them OK for the girls to eat. The ads were pulled after parents expressed concern. Why were parents worried?a.The ads seemed to tell boys that it was okay to be fat.b. The calorie count was deceptive.c.Soup isn't a part of a healthy diet.d.The ads taught girls to worry about their weights and negatively affected their body images.e. Even if they are low in calories, soups are packed full of preservatives and sodium, which is very bad for skin. .
Social Studies
1 answer:
statuscvo [17]1 year ago
5 0

Answer:

(D). The ads taught girls to worry about their weights and negatively affected their body images.

Explanation:

The message passed across in Campbell Soup Company's ad, suggested that it was okay for girls to eat foods with low calorie intake but they should avoid high calorie intake foods.

<u>This ad passed across a message to young girls to worry about their weights and how they look physically.</u>

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A section of highway is posted with a 55 mph speed limit. In fact, speeds of cars traveling on this section are normally distrib
In-s [12.5K]

Answer:

z=1.28

And if we solve for a we got

a=58 +1.28*5=64.4

So the value of height that separates the bottom 90% of data from the top 10% is 64.4.  

Explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the velocity of a population, and for this case we know the distribution for X is given by:

X \sim N(58,5)  

Where \mu=58 and \sigma=5

For this part we want to find a value a, such that we satisfy this condition:

P(X>a)=0.10   (a)

P(X   (b)

Both conditions are equivalent on this case. We can use the z score again in order to find the value a.  

As we can see on the figure attached the z value that satisfy the condition with 0.90 of the area on the left and 0.1 of the area on the right it's z=1.28. On this case P(Z<1.28)=0.9 and P(z>1.28)=0.1

If we use condition (b) from previous we have this:

P(X  

P(z

But we know which value of z satisfy the previous equation so then we can do this:

z=1.28

And if we solve for a we got

a=58 +1.28*5=64.4

So the value of height that separates the bottom 90% of data from the top 10% is 64.4.  

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