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kherson [118]
4 years ago
12

Amber is an Information Support Specialist for a large medical company with offices in three cities. Why would it be hard to fin

d Amber at her desk during business hours? She spends most of her time in the server room making sure medical records are kept confidential. She spends most of her time at a home office where she is able to complete her job requirements. She spends most of her time traveling between the three offices to fix computers and answer questions. She spends most of her time giving presentations and training new employees on the office's computer system.
Social Studies
2 answers:
astraxan [27]4 years ago
5 0

She spends most of her time traveling between the three offices to fix computers and answer questions. In order to find her at her desk, the person would have to check each of the three offices in order to find her. Working for a large medical company between three cities is sure to keep her on her feet. She would not have very much time to sit in her office while she is busy being the Information Support Specialist for three different offices.

expeople1 [14]4 years ago
3 0

She spends most of her time traveling between the three offices to fix computers and answer questions.

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miv72 [106K]

Answer:

          \large\boxed{\large\boxed{1.33g}}

Explanation:

Your question has one part only: <em>a) The average weight of the eggs produced by the young hens is 50.1 ​grams, and only 25​% of their eggs exceed the desired minimum weight. If a Normal model is​ appropriate, what would the standard deviation of the egg weights​ be?</em>

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<h2><em>Solution</em></h2><h2><em /></h2>

You are given the <em>mean</em>, the reference value, and the <em>percent of egss that exceeds that minimum</em>.

In terms of the parameters of a normal distribution that is:

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Using a standard<em> normal distribution</em> table, you can find the Z-score for which the area under the curve is greater than 25%, i.e. 0.25

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That is, Z-score = (0.67 + 0.68)/2 = 0.675.

Now use the formula for Z-score and solve for the <em>standard deviation</em> (σ):

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