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Deffense [45]
2 years ago
6

The black square is a dilation of the blue square. What is the scale factor of the dilation?

Mathematics
2 answers:
poizon [28]2 years ago
6 0
The scale factor is 4
dangina [55]2 years ago
6 0
The scale factor is D) 4
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The ratio of jumps to falls for ice skater Rhonda is 4 falls to every 15 jumps. At this rate, how many times will she not fall i
Inessa05 [86]

<u>Answer:</u>

Rhonda will not fall 264 times in 360 jumps.

<u>Solution:</u>

Given, The ratio of jumps to falls for ice skater Rhonda is 4 falls to every 15 jumps.  

We have to find At this rate, how many times will she not fall in 360 jumps.

Now,  

For 15 jumps → 4 falls

For 360 jumps → n falls

Now apply Chris cross method,

15 \times n=360 \times 4 \rightarrow n=\frac{360 \times 4}{15}=24 \times 4=96

So, she falls 96 times in 360 jumps.

Then, number of times she will not fall = 360 jumps – 96 falls = 264 times.

Hence, Rhonda will not fall 264 times in 360 jumps.

8 0
3 years ago
1. Divide
BartSMP [9]

Answer:

656×756÷765+656+65=

Step-by-step explanation:

it was soo easy now i get what it is talking about no

6 0
3 years ago
5. Find the value of x using your 45°-45°-90° rules.<br> 10<br> X<br> 45°<br> y<br> Your answer
meriva

Answer:

Im not sure but i think x is 5

Step-by-step explanation:

no explanation here

5 0
3 years ago
The researcher is interested to know if policy A (new) is more effective than policy B (old). Frame the hypothesis and describe
vesna_86 [32]

<u>Answer:</u>

<u>Null hypothesis: Policy B remains more effective than policy A.</u>

<u>Alternate hypothesis: Policy A is more effective than policy B.</u>

<u>Step-by-step explanation:</u>

Remember, a hypothesis is a  usually tentative (temporary until tested) assumption about two variables– independent and the dependent variable.

We have two types of hypothesis errors:

1. A type I error occurs when the null hypothesis (H0) is wrongly rejected.

That is, rejecting the assumption that policy B remains more effective than policy A when it is <em>actually true.</em>

2. A type II error occurs when the null hypothesis H0, is not rejected when it is actually false. That is, accepting the assumption that policy B remains more effective than policy A when it is <em>actually false.</em>

3 0
3 years ago
What times 5 equals 75
saveliy_v [14]
15 the answer is 15 because 15 x 5 = 75
5 0
2 years ago
Read 2 more answers
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