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yanalaym [24]
3 years ago
7

5, 5, 6, 8, 11, What is the next number

Mathematics
2 answers:
kotegsom [21]3 years ago
7 0

3 is what my answer was

Ganezh [65]3 years ago
7 0
<h3>Answer: 15</h3>

============================================

Explanation:

From 5 to 5, we add 0

From 5 to 6, we add 1

From 6 to 8, we add 2

From 8 to 11, we add 3

Assuming this pattern keeps up, the next term is found by adding 4.

So 11+4 = 15 is the next term.

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What is the length of AC¯¯¯¯¯ ?
insens350 [35]

Answer:

AC = 6

Step-by-step explanation:

y is the dimension of the horizontal segment (see the attached image).

The hypotenuses are the same dimension, so:

(x+4)^2=(x/2)^2+y^2

(3x-8)^2=(x/2)^2+y^2

So,

(x+4)^2 = (3x-8)^2

x+4 = 3x-8

x-3x = -8-4

-2x = -12

x = 6

And x is the dimension of the segment AC.

7 0
3 years ago
Read 2 more answers
The average score of all golfers for a particular course has a mean of 75 and a standard deviation of 4. Suppose 64 golfers play
Vilka [71]

Answer:

0.0228 = 2.28% probability that the average score of the 64 golfers exceeded 76.

Step-by-step explanation:

To solve this question, 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 normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 75, \sigma = 4, n = 64, s = \frac{4}{\sqrt{64}} = 0.5

Find the probability that the average score of the 64 golfers exceeded 76.

This is 1 subtracted by the pvalue of Z when X = 64.

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

By the Central Limit Theorem

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

Z = \frac{76 - 75}{0.5}

Z = 2

Z = 2 has a pvalue of 0.9772

1 - 0.9772 = 0.0228

0.0228 = 2.28% probability that the average score of the 64 golfers exceeded 76.

6 0
4 years ago
3x+10+x solve for x thank you :)
weeeeeb [17]

Answer:

4x + 10

Step-by-step explanation:

8 0
3 years ago
Which fraction is between 0 and 50/100
Gelneren [198K]
Hey!~

The answer is 25/100.
0/100 (0) and 50/100 (1/2) : The middle is 1/4.

Hope this helps and have a great day!

-Lindsey
7 0
3 years ago
Read 2 more answers
Circle C is shown. Secants U W and Y W intersect at point W outside of the circle. Secant U W intersect the circle at point V an
Nookie1986 [14]
78 degrees mArc V X in the diagram
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3 years ago
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