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1 year ago

FREEEEEEE POINTSSSSSSSSSSSSSSSSSSSSSSS

Mathematics

2 answers:

crimeas [40]1 year ago

5 0

Freeeeeeeeeee pointsssssssssssss

aev [14]1 year ago

4 0

Answer:

Hi My name is Anna I am in 10th grade

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A group of 72 children completed a survey on what kind of sport they like. The choices were: Chess, Swimming, and Football. Ever

Svetach [21]

Answer:

19/72

Step-by-step explanation:

To calculate the probability that a randomly-chosen child from this group likes either Chess or Swimming but not Football?

We already know the number that liked chess only which is 10, we have to solve for those that liked swimming only which is

8+7+16+x = 40

x which represent swimming only is

40-31 = 9

Thus probability = 10/72 + 9/72 = 19/72

3 0

2 years ago

What is the equation of the line that goes through the points (-5,-1) and (5,5)?

Margaret [11]

Answer:

y = 3/5 x + 2.

Step-by-step explanation:

Use the point-slope equation of a straight line:

y - y1 = m (x - x1) where m = the slope amd (x1, y1) is a point on the line.

Here:

m = (5- (-1)) / (5 - (-5))

= 6/10

= 3/5.

Substituting for m and (5, 5):

y - 5 = 3/5(x - 5)

y - 5 = 3/5x - 3

y = 3/5 x + 2.

3 0

2 years ago

The circumference of a clock is 44 inches. Find the

Brut [27]

Answer:

Click on the picture it explains everything my friend! didnt want to write it out on brianly so yeah. Hope this helps!

4 0

2 years ago

Read 2 more answers

Consider the function f(x)=2|x|-3. What is f(-3)?

olganol [36]

f(-3)= $2|-3|-3=6-3=3\\f(-3)=3$

Hope I helped and have a great day!

P.S. brainliest would really help im one away from virtuoso

8 0

2 years 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