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Novay_Z [31]
3 years ago
8

7. A classroom has 7 blue chairs, 5 green

Mathematics
2 answers:
gizmo_the_mogwai [7]3 years ago
3 0
If a chair is selected at random it would be blue because that’s the most chosen color
frez [133]3 years ago
3 0

Answer:

red

Step-by-step explanation:

Is the chair with the most amount of chairs meaning the more amount the more percent you'll to get chosen

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A spotlight at a dance club flashes every 25 seconds. Another spotlight flashes every 30 seconds. Both lights just flashed . Aft
bazaltina [42]

find the least common multiple of 25 and 30, which is 150

 so they will flash at the same time every 150 seconds which equals 2.5 minutes

8 0
3 years ago
Read 2 more answers
What is 3.754×10^5 than round it to the tenth
saul85 [17]

Answer:

375,400

Step-by-step explanation:

  1. 3.754*10^5
  2. 10^5=100,000
  3. 3.754*100,000
  4. 375,400

YaYYYY u got it! =)

5 0
3 years ago
Read 2 more answers
Let ​ f(x)=x2−16x+71 ​ .what is the vertex form of f(x)?what is the minimum value of f(x)? enter your answers in the boxes.
adell [148]
Your vertex is (8,7)

First find the x intercept
-2/2a

X = 16/2
X = 8

Substitute the value x and solve for y
Youd get 7

Hence
(8,7)
7 0
3 years ago
Read 2 more answers
In a given year, the average annual salary of a NFL football player was $189,000 with a standard deviation of $20,500. If a samp
nika2105 [10]

Answer:

15.15% probability that the sample mean will be $192,000 or more.

Step-by-step explanation:

To solve this problem, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value 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. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 189000, \sigma = 20500, n = 50, s = \frac{20500}{\sqrt{50}} = 2899.14

The probability that the sample mean will be $192,000 or more is

This is 1 subtracted by the pvalue of z when X = 192000. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{192000 - 189000}{2899.14}

Z = 1.03

Z = 1.03 has a pvalue of 0.8485.

1-0.8485 = 0.1515

15.15% probability that the sample mean will be $192,000 or more.

7 0
3 years ago
HELP ME ASAP NEED HELp
MrRa [10]

Answer: W=20 and L=55

Step-by-step explanation:

2(3w-5)+2(w)=150

6w-10+2w=150

8w-10=150

8w=160

W=20

L= 3(20)-5

=60-5

=55

6 0
1 year ago
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