The answer to this question using the quadratic formula is x= -1+3√5/2 and x=-1-3<span>√5/2
</span>that is a square root, or, 3 times the square root of 5 ALL over 2, except for the 1. Same with the other one.
BC would equal the same as EF, they are similar. All you would have to do is figure out the pre image (BC) of EF.
Answer:
do 49 x 49 which equals 2,401 then check it
put 2,401 square root which equals 49
Answer:
The center/ mean will almost be equal, and the variability of simulation B will be higher than the variability of simulation A.
Step-by-step explanation:
Solution
Normally, a distribution sample is mostly affected by sample size.
As a rule, sampling error decreases by half by increasing the sample size four times.
In this case, B sample is 2 times higher the A sample size.
Now, the Mean sampling error is affected and is not higher for A.
But it's sample is huge for this, Thus, they are almost equal
Variability of simulation decreases with increase in number of trials. A has less variability.
With increase number of trials, variability of simulation decreases, so A has less variability.
The attached graph represents a histogram that has a range of 55
<h3>How to create the histogram?</h3>
The range is given as:
Range = 55
The range is calculated as:
Range = Maximum - Minimum
So, we have:
Maximum - Minimum = 55
Rewrite as:
Maximum = Minimum + 55
Let the minimum be 10.
So, we have:
Maximum = 10 + 55
Evaluate
Maximum = 65
The following dataset can be used to create the histogram
Score Frequency
10 2
15 5
45 3
65 1
This is so because it has a range of 55
See attachment for the histogram
Read more about histogram at:
brainly.com/question/14421716
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