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Nina [5.8K]
3 years ago
14

7y+16=2x+4x-30 Help me pls i am dumb

Mathematics
1 answer:
AveGali [126]3 years ago
3 0

Answer:

Slope=  2.000 /1.714  =0.857

x−intercept=  6 /46  =  3 /23 =7.66667

y−intercept= −  7 /46  =−6.57143

Step-by-step explanation:

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 PLEASE HELP: For the next RSM Award ceremony, it was decided to decrease the length of the main poster by 12% and to increase i
MrRissso [65]
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3 0
3 years ago
Which of the following is not an equation of a simple, even polynomial function? (Select all to apply.)
Ne4ueva [31]

Wouldn't it be y = | x |? I am not 100% positive but I'm pretty sure that you need to have a least one value. Again not 100% sure

4 0
3 years ago
Read 2 more answers
Which is a correct first step for solving this equation? x+7=2x+5−4x
Dmitry [639]
The correct first step would be to gather all like terms together:
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8 0
3 years ago
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A machine is shut down for repairs if a random sample of 100 items selected from the daily output of the machine reveals at leas
Harlamova29_29 [7]

Answer:

0.7995 = 79.95% probability that the sample will contain at least three defectives.

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)}.

Suppose that a random sample of 20 items is selected from the machine.

This means that n = 20

The machine produces 20% defectives

This means that p = 0.2

Mean and standard deviation:

\mu = E(X) = np = 20*0.2 = 4

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{20*0.2*0.8} = 1.79

Probability that the sample will contain at least three defectives

Using continuity correction, this is P(X \geq 3 - 0.5) = P(X \geq 2.5), which is 1 subtracted by the pvalue of Z when X = 2.5. So

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

Z = \frac{2.5 - 4}{1.79}

Z = -0.84

Z = -0.84 has a pvalue of 0.2005

1 - 0.2005 = 0.7995

0.7995 = 79.95% probability that the sample will contain at least three defectives.

4 0
3 years ago
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