Answer: reflection of her person, character, thinking and even upbringing
Explanation:
Employee who steal because they feel that they are owed or is benefits from the job are high risk individuals and can lead to a company's downfall. Stealing is taking what does not belongs to you and using sweet names to qualify your actions is even more wrong. It tells on your character as a person that you are not truthful and cannot be trusted. A person who steal and fails to admit it is a self centered person and does not mind and lacks good home training. This kind of behavior is not sudden. The person involved must have been doing it for a long time and it has become part of him. His or her has made himself believe that what he or she is doing is ringht and no matter what you say they will never admit their wrong.
I believe that they used The Red Sea
Secession, slavery, Abe Lincoln becoming president, expansion, the bleeding Kansas, industry vs farming
Answer:

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:
- <em>mean</em> =<em> 50.1g</em> (μ)
- Area of the graph above X = 51 g = <em>25%</em>
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
The tables with two decimals for the Z-score show probability 0.2514 for Z-score of 0.67 and probabilidad 0.2483 for Z-score = 0.68.
Thus, you must interpolate. Since, (0.2514 + 0.2483)/2 ≈ 0.25, your Z-score is in the middle.
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):


