By averaging their profits over each the previous 56 days (8 weeks), a small clothing store in downtown Chicago estimates their daily profit as $472 with a standard deviation of $184. You may assume that the distribution of the variable (profit) was approximately normal. 1. The owner believes that they need to achieve a daily profit of at least $440 on average to remain solvent in the business. On what percentage of days can they expect to do so? 2. On what percentage of days can they expect to turn a profit of between $430 and $480? 3. Thought Question: The standard

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Problem #1
By averaging their profits over each the
previous 56 days (8 weeks), a small clothing
store in downtown Chicago estimates their
daily profit as $472 with a standard
deviation of $184. You may assume that the
distribution of the variable (profit) was
approximately normal.
1. The owner believes that they need to
achieve a daily profit of at least $440 on
average to remain solvent in the
business. On what percentage of days
can they expect to do so?
2. On what percentage of days can they
expect to turn a profit of between $430
and $480?
3. Thought Question: The standard
deviation for this store is fairly high. Can
you think why this may be? Is there
something the owner might do in order
to come up with numbers that would
allow for improved predictions? Hint:
Take a closer look at the first sentence
of the problem.
Transcribed Image Text:Problem #1 By averaging their profits over each the previous 56 days (8 weeks), a small clothing store in downtown Chicago estimates their daily profit as $472 with a standard deviation of $184. You may assume that the distribution of the variable (profit) was approximately normal. 1. The owner believes that they need to achieve a daily profit of at least $440 on average to remain solvent in the business. On what percentage of days can they expect to do so? 2. On what percentage of days can they expect to turn a profit of between $430 and $480? 3. Thought Question: The standard deviation for this store is fairly high. Can you think why this may be? Is there something the owner might do in order to come up with numbers that would allow for improved predictions? Hint: Take a closer look at the first sentence of the problem.
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