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Delvig [45]
3 years ago
15

the function f(x) is represented by the table bellow. What are the corresponding values of g(x) for the transformation g(x)=4f(x

)?

Mathematics
1 answer:
True [87]3 years ago
3 0
Hopefully this is what you're looking for:

If x=-8 then g(x)=-32
If x=-5 then g(x)=-20
If x=0 then g(x)=0
If x=3 then g(x)=12
If x=9 then g(x)=36 
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A gas company charges $0.4544 for each therm used. A home used 39.3 therms in a month. How much will the gas company charge that
podryga [215]

Answer:

$17.85792

Step-by-step explanation:

$0.4544 x 39.3 = $17.85792

7 0
3 years ago
Write as a mathematical equation. The product of 5 and x is 25.
pickupchik [31]

answer:

5x=25

Divide 5 from both sides

5x/5=25/5

x=5

4 0
3 years ago
P(X< ) 1-P(X> ) A softball pitcher has a 0.626 probability of throwing a strike for each curve ball pitch. If the softball
Mashutka [201]

Answer:

19.49% probability that no more than 16 of them are strikes

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 samples 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)}.

In this problem, we have that:

n = 30, p = 0.626

So

\mu = E(X) = np = 30*0.626 = 18.78

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{30*0.626*0.374} = 2.65

What is the probability that no more than 16 of them are strikes?

Using continuity correction, this is P(X \leq 16 + 0.5) = P(X \leq 16.5), which is the pvalue of Z when X = 16.5. So

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

Z = \frac{16.5 - 18.78}{2.65}

Z = -0.86

Z = -0.86 has a pvalue of 0.1949

19.49% probability that no more than 16 of them are strikes

7 0
3 years ago
If x = y, find the value of 8 + 5(x - y)
uranmaximum [27]

Answer:

=8

Step-by-step explanation:

Evaluate for x=y,y=x

8+5(x−x)

8+5(x−x)

3 0
3 years ago
PLEASEEEEE HELP!! BRAINLIEST!!
ycow [4]

Step-by-step explanation:

Rate of change = final - initial / time(in years)

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= - 2 / 2

<u>Rate of change</u> = <u>- 1</u>

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