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DochEvi [55]
3 years ago
7

There were 12,000 spectators in one section of the stadium. In that section, 55% had on red shirts and the rest had on white shi

rts. How many spectators had on white shirt?
Mathematics
2 answers:
dybincka [34]3 years ago
8 0

First we have to find what is the remaining part, which will be white.

1. 100% - 55% = 45% had white shirts.

So now we have to figure out a number not a percent. Therefore, we will get 45% of 12,000.

2. 45% x 12,000 = 5,400

3. 5,400 had white shirts.

katrin2010 [14]3 years ago
3 0
If 55% had on red shirts, then 100% - 55% had on white shirts. Therefore, 45% had white shirts. 45% is equal to 0.45 and to find the number of spectators who had on white shirts, you multiply 0.45 by 12,000 to get your answer.
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Answer:

a cost analysis is when u analyze the cost of a product

Step-by-step explanation:

"is a systematic approach to estimating the strengths and weaknesses of alternatives (for example in transactions, activities, functional business requirements); it is used to determine options that provide the best approach to achieve benefits ..."


The above information is from:

https://en.wikipedia.org/wiki/Cost–benefit_analysis

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A circle with a diameter of 10 inches has a circumference of a square, what is the length of each side of the square? ​
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The circumference is πd, and the diameter is 10, so the circumference is 10π. All sides of a square are equal, so the length of each side is 10π/4, which is 2.5π.

The length of each side of the square is 2.5π  

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3 years ago
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) One year, professional sports players salaries averaged $1.5 million with a standard deviation of $0.9 million. Suppose a samp
Nutka1998 [239]

Answer:

Probability that the average salary of the 400 players exceeded $1.1 million is 0.99999.

Step-by-step explanation:

We are given that one year, professional sports players salaries averaged $1.5 million with a standard deviation of $0.9 million.

Suppose a sample of 400 major league players was taken.

<em>Let </em>\bar X<em> = sample average salary</em>

The z-score probability distribution for sample mean is given by;

                 Z = \frac{ \bar X -\mu}{{\frac{\sigma}{\sqrt{n} } }} }  ~ N(0,1)

where, \mu = mean salary = $1.5 million

            \sigma = standard deviation = $0.9 million

             n = sample of players = 400

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the average salary of the 400 players exceeded $1.1 million is given by = P(\bar X > $1.1 million)

    P(\bar X > $1.1 million) = P( \frac{ \bar X -\mu}{{\frac{\sigma}{\sqrt{n} } }} } >  \frac{ 1.1-1.5}{{\frac{0.9}{\sqrt{400} } }} } ) = P(Z > -8.89) = P(Z < 8.89)

<em>Now, in the z table the maximum value of which probability area is given is for critical value of x = 4.40 as 0.99999. So, we can assume that the above probability also has an area of 0.99999 or nearly close to 1.</em>

Therefore, probability that the average salary of the 400 players exceeded $1.1 million is 0.99999.

4 0
3 years ago
The standard form of the equation for a quadratic function is, with he vertex of the graph of the function at the point (p,q). t
ludmilkaskok [199]

Answer:

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Distribute a to the first two terms:

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Therefore:

p = ½ (x₁ + x₂)

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