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mojhsa [17]
3 years ago
14

PLS HALP-

Mathematics
1 answer:
den301095 [7]3 years ago
8 0

Answer:

d im preety sure if you need the work i will give it to you

Step-by-step explanation:

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Find the length of a rectangle with a perimeter of 76 inches and width of 16 inches.
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Answer:

22 inches

Step-by-step explanation:

Width (16) x 2 = 32

72 (perimeter) - 32 (width x 2) = 44 inches

44 divided by 2 is 22, which is the length.

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Which graph shows a function whose inverse is also a function?
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Step-by-step explanation:

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To start, we're given the range that x lies in: from -1 to 4. We know from the fact that -1 \leq x that -1 will be <em /><em>included</em> in that range, so we mark -1 on the number line with a solid circle. We also know from x\ \textless \ 4 that, while x can be any value <em>up to</em> 4, it does not <em>include </em>4. We indicate this by drawing a hollow circle around 4 on the number line. Since x can be <em>any value within this range</em>, we make that fact clear by drawing a bold line between the points -1 and 4 on the number line. I've attached an image of what our final graph would look like.

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Xina has $289 and spends $55 at the grocery
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g In R simulate a sample of size 20 from a normal distribution with mean µ = 50 and standard deviation σ = 6. Hint: Use rnorm(20
Illusion [34]

Answer:

> a<-rnorm(20,50,6)

> a

[1] 51.72213 53.09989 59.89221 32.44023 47.59386 33.59892 47.26718 55.61510 47.95505 48.19296 54.46905

[12] 45.78072 57.30045 57.91624 50.83297 52.61790 62.07713 53.75661 49.34651 53.01501

Then we can find the mean and the standard deviation with the following formulas:

> mean(a)

[1] 50.72451

> sqrt(var(a))

[1] 7.470221

Step-by-step explanation:

For this case first we need to create the sample of size 20 for the following distribution:

X\sim N(\mu = 50, \sigma =6)

And we can use the following code: rnorm(20,50,6) and we got this output:

> a<-rnorm(20,50,6)

> a

[1] 51.72213 53.09989 59.89221 32.44023 47.59386 33.59892 47.26718 55.61510 47.95505 48.19296 54.46905

[12] 45.78072 57.30045 57.91624 50.83297 52.61790 62.07713 53.75661 49.34651 53.01501

Then we can find the mean and the standard deviation with the following formulas:

> mean(a)

[1] 50.72451

> sqrt(var(a))

[1] 7.470221

5 0
3 years ago
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