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3 years ago

What is 1,000 divided by 38

Mathematics

1 answer:

alina1380 [7]3 years ago

7 0

26.315789, you should use a caculator

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How do you turn 1/3 into a whole number

Luda [366]

Answer:

Step-by-step explanation:

There is no fractional or decimal part. And no negatives. 1/3 = 0.33333333 with 3 keep repeating. If you want to round it to the nearest whole number, it is 0

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3 years ago

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Written as a percent, what is the probability of getting an odd number on a spinner with 4 equal parts numbered 1 to 4?A.20%B.25

Komok [63]

Answer:

C: 50%

Step-by-step explanation:

There are 2 even numbers and 2 odd numbers on the spinner.

Therefore, the probabilty of getting an odd number is 2/4 = 1/2 = 0.5 = 0.5 x 100 = 50%

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3 years ago

What the coordinates of the point (-5,1) after 180° rotation about the origin Is it (-1,5)

tatuchka [14]

The mapping rule for a 180 degree rotation is:
(x,y) (-x,-y)

1. Multiply the x-coordinate by -1.
2. Multiply the y-coordinate by -1.
3. SImplify

So the coordinate after a 180 degree rotation is: (5,-1)

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3 years ago

Which proportion could be used to find the length of side b? 6 720 859 A 6.2

Dmitrij [34]

I would pick D but I’m not 100% sure

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3 years ago

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Random samples of size 49 are taken from a population that has 200 elements, a mean of 180, and a variance of 196. the distribut

OleMash [197]

Answer:

The mean is 180.

The standard error is 0.286.

Step-by-step explanation:

This question can be solved using the 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 $\frac{\sigma}{\sqrt{n}}$ .

In this problem, we have that:

The mean of the distribution of the sample means is the same as the mean of the population. This means that the mean is 180.

The standard deviation of the population is the square root of the population variance. So $\sigma = \sqrt{196} = 14$ .

The standard deviation of the sampling distribution of the sample mean is $s = \frac{\sigma}{\sqrt{n}} = \frac{14}{\sqrt{49}} = 2$ .

The standard error of the sampling distribution of the sample mean is $SE = \frac{s}{\sqrt{n}} = \frac{2}{7} = 0.286$

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3 years ago