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aivan3 [116]
2 years ago
10

Find the scale factor between each pair of similar shapes ​

Mathematics
1 answer:
Vsevolod [243]2 years ago
7 0

Answer:

Step-by-step explanation:

For the pairs of sides to be proportional to each other, they must have the same scale factor. In other words, similar figures have congruent angles and sides with the same scale factor. A scale factor of 2 means that each side of the larger figure is twice as long as its corresponding side is in the smaller figure.

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How many different ways can a club choose a committee of 4 from 15 members?
boyakko [2]
It is done by this formula

combinations = n! / [r! * (n - r)!]

combinations = 15! / [4! * 11!]
combinations = 15 * 14 * 13 * 12 * 11! / [4! * 11!]
combinations = 15 * 14 * 13 * 12 / 4 * 3 * 2
combinations = 15 * 7 * 13
combinations = 1,365

answer is b

5 0
3 years ago
Find the indicated probability or percentage for the sampling error. The distribution of weekly salaries at a large company is r
Flauer [41]

Answer:

The probability that the sampling error made in estimating the mean weekly salary for all employees of the company by the mean of a random sample of weekly salaries of 80 employees will be at most $75 is 0.9297.

Step-by-step explanation:

According to the Central Limit Theorem if we have a non-normal population with mean <em>μ</em> and standard deviation <em>σ</em> and appropriately huge random samples (<em>n</em> > 30) are selected from the population with replacement, then the distribution of the sample means will be approximately normally distributed.

Then, the mean of the distribution of sample means is given by,

\mu_{\bar x}=\mu

And the standard deviation of the distribution of sample means is given by,

\sigma_{\bar x}=\frac{\sigma}{\sqrt{n}}

The information provided is:

\mu=\$1000\\\sigma=\$370\\n=80

As <em>n</em> = 80 > 30, the central limit theorem can be used to approximate the sampling distribution of sample mean weekly salaries.

Let \bar X represent the sample mean weekly salaries.

The distribution of \bar X is: \bar X\sim N(\$1000,\ \$41.37)

Now we need to compute the probability of the sampling error made in estimating the mean weekly salary to be at most $75.

The sampling error is the the difference between the estimated value of the parameter and the actual value of the parameter, i.e. in this case the sampling error is, |\bar X-\mu|= 75.

Compute the probability as follows:

P(-75

                                     =P(-1.81

Thus, the probability that the sampling error made in estimating the mean weekly salary for all employees of the company by the mean of a random sample of weekly salaries of 80 employees will be at most $75 is 0.9297.

3 0
3 years ago
A police officer is chasing a purse-snatcher down a street. The thief starts 9 meters ahead of the officer and can run 20 meters
lions [1.4K]

Answer:

If you want them at the same exact point then since the theif is 9 steps ahead it

will take 3 seconds

Step-by-step explanation:

Robber:

<em>starts at 9</em>

<em>starts at 9add on 5 and you get 14</em>

<em>starts at 9add on 5 and you get 14add 5 more you get 19</em>

<em>starts at 9add on 5 and you get 14add 5 more you get 19and another 5 would give you 24</em>

Police:

<em>is</em><em> </em><em>at</em><em> </em><em>0</em><em> </em><em>meters</em><em> </em>

<em>add</em><em> </em><em>8</em><em> </em><em>any</em><em> </em><em>you</em><em> </em><em>get</em><em> </em><em>8</em>

<em>add</em><em> </em><em>8</em><em> </em><em>more</em><em> </em><em>and</em><em> </em><em>you</em><em> </em><em>get</em><em> </em><em>1</em><em>6</em>

<em>and</em><em> </em><em>another</em><em> </em><em>8</em><em> </em><em>would</em><em> </em><em>get</em><em> </em><em>you</em><em> </em><em>to</em><em> </em><em>2</em><em>4</em>

6 0
3 years ago
What is the equation of a parabola that passes through the points (-5,-10), (-3,2) and (2,-3)?
pickupchik [31]
Hi please mark me brainliest
4 0
2 years ago
What is the measure of angle R?
jolli1 [7]

The answer is m∠R = 48.59 °

5 0
2 years ago
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