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Inga [223]
3 years ago
5

What is the value of h (−2) when h (x) = 3x + 1? ​ h (−2) =

Mathematics
1 answer:
Veseljchak [2.6K]3 years ago
6 0
All you need to do is substitue -2 into the equation for x, 

h(-2) = 3(-2) + 1 = -6 + 1 = -5
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Find the value of this expression if x=-1 and y=-5 x^2y/4
REY [17]

Answer:

\large\boxed{-\dfrac{5}{4}=-1\dfrac{1}{4}}

Step-by-step explanation:

\text{Put the values of x = -1 and y = -5 to the expression}\ \dfrac{x^2y}{4}:\\\\\dfrac{(-1)^2(-5)}{4}=\dfrac{(1)(-5)}{4}=\dfrac{-5}{4}

4 0
3 years ago
Experimental verification of opposite side of parallelograms .
zloy xaker [14]
If you mean  proof that the opposite sides of a parallelogram are equal, you draw a diagonal then prove that the 2 triangles formed are congruent.
6 0
3 years ago
What is the reciprocal of 1 8/9
notka56 [123]
Answer: 9/17
Reason

The reciprocal is simply flipping the denominator and numerator of a fraction.

1-8/9 as a mixed fraction is 17/9
So the reciprocal would be to flip it,
Giving you 9/17 which is in its simplest form
6 0
2 years ago
Suppose that in one region of the country the mean amount of credit card debt perhousehold in households having credit card debt
kvv77 [185]

Answer:

The probability that the mean amount of credit card debt in a sample of 1600 such households will be within $300 of the population mean is roughly 0.907 = 90.7%.

Step-by-step explanation:

To solve this question, we have 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 = 15250, \sigma = 7125, n = 1600, s = \frac{7125}{\sqrt{1600}} = 178.125

The probability that the mean amount of credit card debt in a sample of 1600 such households will be within $300 of the population mean is roughly

This probability is the pvalue of Z when X = 1600 + 300 = 1900 subtracted by the pvalue of Z when X = 1600 - 300 = 1300. So

X = 1900

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

By the Central Limit Theorem

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

Z = \frac{1900 - 1600}{178.125}

Z = 1.68

Z = 1.68 has a pvalue of 0.9535.

X = 1300

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

Z = \frac{1300 - 1600}{178.125}

Z = -1.68

Z = -1.68 has a pvalue of 0.0465.

0.9535 - 0.0465 = 0.907.

The probability that the mean amount of credit card debt in a sample of 1600 such households will be within $300 of the population mean is roughly 0.907 = 90.7%.

7 0
3 years ago
three students went out for lunch in a restaurant Sophie ordered the business special for $8.50 Lauren ordered a full meal with
katen-ka-za [31]
Ok so first, you add $8.50, $10.25, and $2.25 to get the total bill of $21. Since 3 people are splitting the bill equally, divide $21 by 3 to get $7. Hope this is helpful!
5 0
3 years ago
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