2 years ago

Help PLEASE!!! [URGENT]

Mathematics

1 answer:

babunello [35]2 years ago

6 0

The answer is c because its c

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The sixth grade is raising money for the local animal shelter. So far they have raised $320, which is 40% of their goal. How muc

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They hope to raise 800 dollars.

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2 years ago

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if each interior angle of a regular polygon measures 144 degrees, how many sides does the polygon have?

Lubov Fominskaja [6]

10 sides 180(10-2) 1800-360=1440/10 = 144

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2 years ago

Which of the following answers is the value of x in this equivalent fraction?

Ira Lisetskai [31]

I just had the question and the correct answer is 36.

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2 years ago

Click the photo to solve the photo

dangina [55]

Answer:

A=2

B=4

C=6

D=5

E=7

F=8

G=3

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Step-by-step explanation:

explanation is in the picture!

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1 year ago

A simple random sample of 100 observations was taken from a large population. The sample mean and the standard deviation were de

olga2289 [7]

Answer:

Se=1.2

Step-by-step explanation:

The standard error is the standard deviation of a sample population. "It measures the accuracy with which a sample represents a population".

The central limit theorem (CLT) states "that the distribution of sample means approximates a normal distribution, as the sample size becomes larger, assuming that all samples are identical in size, and regardless of the population distribution shape"

The sample mean is defined as:

$\bar X =\frac{\sum_{i=1}^n x_i}{n}$

And the distribution for the sample mean is given by:

$\bar X \sim N(\mu,\frac{\sigma}{\sqrt{n}})$

Let X denotes the random variable that measures the particular characteristic of interest. Let, X1, X2, …, Xn be the values of the random variable for the n units of the sample.

As the sample size is large,(>30) it can be assumed that the distribution is normal. The standard error of the sample mean X bar is given by:

$Se=\frac{\sigma}{\sqrt{n}}$

If we replace the values given we have:

$Se=\frac{12}{\sqrt{100}}=1.2$

So then the distribution for the sample mean $\bar X$ is:

$\bar X \sim N(\mu=80,Se=1.2)$

5 0

2 years ago