Answer:
Decimals to fractions
1. 0.24 = 24/100 = 12/50=6/25
2. 0.20=20/100=1/5
3. 0.18 = 18/100 = 9/50
4. 0.58 = 58/100 = 29/50
5. 0.68 = 68/100 = 34/50 = 17/25
Answer: A
The Northwest Ordinance was important for two major reasons. The first of these was that it banned slavery in the territories of the Northwest. This ensured that these would be free states when they entered the Union. But that is not the most important thing about this law. The most important thing is that it created a system whereby territories could become states. This meant that there would be no situation in which (for example) the Ohio region could be a colony of Virginia. This meant that the US would not have to worry about fights between states over land or about colonists in new territories feeling abused by whichever state was their "mother country." This allowed the US to expand in an orderly and stable way.
He promised the people a constitution but then gave up the throne so therefore it was never written.
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):


