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Ksju [112]
3 years ago
8

What is the length of D. 8ft

Mathematics
1 answer:
KengaRu [80]3 years ago
6 0

Answer:

96 inches

Step-by-step explanation:

8 ft is 8(12) inches, which is 96 inches

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Consider the square with vertices at (3, 3), (−3, 3), (−3, −3) and (3, −3). How many points with integer coordinates lie strictl
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36 units

Step-by-step explanation:

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3 years ago
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Find the range of the function for the fiven domain. f(x)= 3x-8; {-2, -1, 0, 1, 2}
ryzh [129]
<span>f(x)= 3x-8

x = -2,  </span><span>f(x)= 3(-2) -8 = -6 - 8 = -14
</span>x = -1,  f(x)= 3(-1) -8 = -3 - 8 = -11
x = 0,  f(x)= 3(0) -8 = 0 - 8 = -8
x = 1,  f(x)= 3(1) -8 = 3 - 8 = -5
x = 2,  f(x)= 3(2) -8 = 6 - 8 = -2
Domain <span> {-2, -1, 0, 1, 2}
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</span>
answer
Range:  {-14, -11, -8, -5, -2}
7 0
4 years ago
Evaluate the expressions for when x=-1, y=3, z=-2<br><br> z²+x²-y and x²y²z²
Vika [28.1K]

Step-by-step explanation:

z² +x² - y= -2²+ -1² - 3

4+ 1 - 3= 2

x²y²z²= -1²× 3²× -2²

1× 9× 4= 36

4 0
3 years ago
A circle’s diameter is 22 inches. What is the circle’s circumference
alina1380 [7]

Answer:

69.12 in, or 22pi in terms of pi

Step-by-step explanation:

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3 years ago
Suppose we have a population that does not follow the normal distribution. What minimum sample size we should select in order to
Pepsi [2]

Answer:

D. 30

Step-by-step explanation:

Having a population that doesn't follow normal distribution (skewed) can still have sampling distribution that is completely normal. This fact is presented in the Central Limit Theorem.

Central Limit Theorem: states that we can have a normal distribution of sample means even if the original population doesn't follow normal distribution, we just need to take a large sample.

So how much sample size do we need?

There is no straight forward answer to this rather we have to analyse the situation closely!

1. If the population distribution is already normal then a smaller sample size would be enough to ensure normal distribution.

2. If the population distribution is very skewed than a larger number of sample size is needed to ensure normal distribution. The rule of thumb is to take sample size equal to or more than 30 to be on safer side. This is the case in this problem hence option D fits the best.

5 0
4 years ago
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