6m3 - 16m2 + 15m - 40<span> Simplify —————————————————————
2m2 + 5
</span>Checking for a perfect cube :
<span> 4.1 </span> <span> 6m3 - 16m2 + 15m - 40</span> is not a perfect cube
Trying to factor by pulling out :
<span> 4.2 </span> Factoring: <span> 6m3 - 16m2 + 15m - 40</span>
Thoughtfully split the expression at hand into groups, each group having two terms :
Group 1: 15m - 40
Group 2: <span> -16m2 + 6m3</span>
Pull out from each group separately :
Group 1: (3m - 8) • (5)
Group 2: <span> (3m - 8) • (2m2)</span>
-------------------
Add up the two groups :
<span> (3m - 8) • </span><span> (2m2 + 5)</span>
<span>Which is the desired factorization</span>
<span>3m-8 is the answer</span>
Your answer would be 18.39
And here's why:
Behind the decimal your numbers are in the following places.
The (3) is in the tenths place.
The (8) is in the hundredths place.
And the (6) is in the thousandths place.
Whatever number is AFTER the place your rounding, is going to help you out.
If the number is 1-4, you round down.
If the number is 5-9, you round up.
Hope this helps! (:
Answer:720 x^3
Step-by-step explanation:
Answer:
B.
Step-by-step explanation:
First let's define the different bias that exist:
Sampling bias: This bias occurs when the method used to get the sample favours one part of the population leaving another part of the population excluded.
Non response bias: This bias occurs when the people who do not answer the survey have different opinions from the ones who do.
Response bias: This bias occurs when the answer given to the survey does not reflect the true feelings of the person who responds.
Now back to the problem:
- The researcher sent the survey to 2000 randomly selected e-mail addresses, she expects to get 20% of responses, meaning 400 people will answer the survey.
Given these conditions, we would expect the survey to be biased. We have approximately 1600 people who didn't answer the survey so it is possible that all these people who didn't answer have different opinions from the 400 who did (non response bias), given that the survey was done by email it could also happen that people do not tell the truth when asked about a topic (response bias), also, there would be sampling bias because the people who she selected have an email address so the people who don't use email get excluded from the survey (sampling bias)
