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snow_tiger [21]
3 years ago
15

An article in a 2006 issue of Journal of Behavioral Decision Making reports on a study involving 47 undergraduate students in a

class at Harvard. All of the participants were given $50, but some (chosen at random) were told that this was a "tuition rebate," while the others were told that this was "bonus income." After one week, the students were contacted again and asked how much of the $50 they had spent and how much they had saved. Those in the "rebate" group had spent an average of $22.04, while those in the "bonus" group had spent an average of $9.55. If the difference in average spending amounts between the two groups is determined to be statistically significant, would it be legitimate to draw a cause-and-effect conclusion between what the money was called and how much was spent
Business
1 answer:
stich3 [128]3 years ago
3 0

Answer: Yes

Explanation:

If the difference in average spending amounts between the two groups is determined to be statistically significant, it would be legitimate to draw such a conclusion.

Why?

Those who were told that it was a Tuition rebate, a reward of sorts, had spent on average, $22.04 whilst those who thought it was simply bonus income had spent significantly less at $9.55.

This means that indeed there is a CAUSE and EFFECT conclusion to be drawn between what the money was called and how much was spent because it is clear that when called a tuition rebate, more of it is spent as opposed to it being called a Bonus income.

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Answer:

The  The number of sweatshirts the company would need to sell to earn a target profit of $1,710 is closest to <u>570</u> sweatshirts.

Explanation:

This can be calculated as follows:

Selling price per unit = $15

Total cost price per unit = Average unit cost + Sales commission per unit = $7 + $5 = $12

Profit per unit = Selling price per unit - Total cost price per unit = $15 - $12 = $3

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Number of sweatshirts to sell to earn a target profit = Target profit / Profit per unit = $1,710 / 3 = 570

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Y_Kistochka [10]
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Answer:

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