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Vilka [71]
2 years ago
9

PLEASE HELP!!! WILL GIVE BRAINLIEST, THANKS, RATE 5 STARS, AND 20 POINTS!!!

Mathematics
2 answers:
seraphim [82]2 years ago
8 0

Answer:

C

Step-by-step explanation:

I made a lot of calculations and I don't have time to explain them srry. But it's C, 7/11

oksano4ka [1.4K]2 years ago
7 0

Answer:

D. 16/23

Step-by-step explanation:

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16x³ - 54
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Fortninte.com had 595,760 visitors in June 2018, and 615,355 in July 2018. How many more visitors came in July than June?
Inessa [10]

Solve. Subtract July 2018 with June 2018

615355 - 595760 = 19595

19595 more people visited Fortnite's website in July than June.

hope this helps

<em>~Rise Above the Ordinary</em>


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3 years ago
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After joining two pieces of a picture frame together, a frame maker checks her work by measuring the diagonal (see the illustrat
tigry1 [53]
The diagonal (hypotenuse) is 13 in.

You need to use the Pythagorean Theorem

{a}^{2} + {b}^{2} = {c}^{2}
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6 0
3 years ago
What is an equation in point-slope form of the line that
-Dominant- [34]

Step-by-step explanation:

To find an equation of a line in point slope form when given the slope and a point we use the formula

y -  y_1 = m(x -  x_1)

where

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( x1 , y1) is the point

From the question the point is (-3, -1) and slope 2

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5 0
3 years ago
Suppose that 11% of all steel shafts produced by a certain process are nonconforming but can be reworked (rather than having to
attashe74 [19]

Answer:

0.9726 = 97.26% approximate probability that X is at most 30

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed distributions can be 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.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

11% of all steel shafts produced by a certain process are nonconforming but can be reworked (rather than having to be scrapped).

This means that p = 0.11

Random sample of 200 shafts

This means that n = 200

Mean and Standard deviation:

\mu = E(x) = np = 200*0.11 = 22

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{200*0.11*0.89} = 4.42

(a) What is the (approximate) probability that X is at most 30

Using continuity correction, this is P(X \leq 30 + 0.5) = P(X \leq 30.5), which is the pvalue of Z when X = 30.5. So

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

Z = \frac{30.5 - 22}{4.42}

Z = 1.92

Z = 1.92 has a pvalue of 0.9726.

0.9726 = 97.26% approximate probability that X is at most 30

8 0
3 years ago
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