True, because if you add pi (3.14) to 0, you get the result 34.234, which is also the result of the formula which is used to shrink the dilation AND the pre-image.
The data below shows the average number of text messages sent daily by a group of people: 7, 8, 4, 7, 5, 2, 5, 4, 5, 7, 4, 8, 2,
enot [183]
It all depends. You've given us an incredibly vague question.
The outlier could be a number that's low or quite high. Also, outliers
shouldn't really contribute towards the value of the mean, median or
range related to a group of data.
They are called outliers because they are bizarre results or numbers
and should be detached from groups of data. Outliers by definition
are abnormalities or anomalies.
I'd say outliers don't really change anything, unless you actually want
to give them credibility or weight.
Large outliers can inflate the value of means, medians and ranges.
Small outliers will invariably deflate the value of means and medians.
0.4% = 0.04
0.04 * 1000 = 4
the answer is 4 hope I helped you out!
Answer:
38
Step-by-step explanation:
substitute the value of the variable into an equation, then simplify
Answer:
here
Step-by-step explanation:
