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3 years ago

How to simplify a square root

Mathematics

1 answer:

LenaWriter [7]3 years ago

8 0

Answer:

Step-by-step explanation:

A square root can't be simplified any further if there are no 2 identical factors remaining and every term under the radical symbol is a prime number

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The sneakers shown normally costs $125. Today it is on sale for 30% off. Find the sale price.

Maurinko [17]

Answer:

That answer is $37.50

Step-by-step explanation:

You havr to multiply the 125 by .30

5 0

3 years ago

Read 2 more answers

Please help!!! I will give brainliest but only if you try and help.

Slav-nsk [51]

Answer:

Since we have to predict, we can use ratios to help us solve this.

12 said yes out of 72 randomly chosen, SO,

if 210 would say yes (goes to play), how many is total??

12 is to 72 AS 210 is to HOW MUCH (let it be x)??

We can setup ratio, cross multiply, and solve for x:

= 12/72= 210/x

= 12x = 210*72

=12x = 15,120

=x = 15,120/12

8 0

3 years ago

What number is halfway between .2 and .3

Ghella [55]

Answer:

.201

Step-by-step explanation:

3 0

3 years ago

Evaluate the expression 11C3

butalik [34]

Evaluating the expression 11C3 is very simple to do.

If you are assuming that C is the notation for the combination.
11!
11C3= ____

3!(11-3)!

3 0

3 years ago

A market research team thinks that their new ad campaign is better than their old one. They used to be able to sell to 50% of th

andreev551 [17]

Answer:

a. The test statistic is 2 and we conclude that the new ad campaign is not signficantly better.

Step-by-step explanation:

They used to be able to sell to 50% of those who saw their ads. Test if the new campaign is better.

At the null hypothesis, we test is it is the same, that is, the proportion is the same.

$H_0: p = 0.5$

At the alternate hypothesis, we test if it is significantly better, that is, the proportion is above 50%.

$H_1: p > 0.5$

The test statistic is:

$z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}$

In which X is the sample mean, $\mu$ is the value tested at the null hypothesis, $\sigma$ is the standard deviation and n is the size of the sample.

0.5 is tested at the null hypothesis:

This means that $\mu = 0.5, \sigma = \sqrt{0.5*0.5} = 0.5$

They take a random sample of 100 potential buyers and find that they convinced 60 of these people to buy their product.

This means that $n = 100, X = \frac{60}{100} = 0.6$

Test statistic:

$z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}$

$z = \frac{0.6 - 0.5}{\frac{0.5}{\sqrt{100}}}$

$z = 2$

The test statistic is 2.

P-value of the test and decision:

The p-value of the test is the probability of finding a sample proportion above 0.6, which is 1 subtracted the by p-value of z = 2.

Looking at the z-table, z = 2 has a p-value of 0.9772.

1 - 0.9772 = 0.0228.

The p-value of the test is 0.0228 > 0.01, which means that we cannot conclude that the new ad campaign is signficantly better, so the correct answer is given by option A.

5 0

3 years ago