The strongest indicator of variability in data sets with outliers or skewed distributions is the interquartile range. It's unlikely to be impacted by outliers because it's based on numbers that come from the centre half of the distribution.
Your data's spread from the lowest to the greatest value in the distribution is indicated by the range. The calculation of this variability index is the simplest.
If your distribution doesn't contain any extreme values, the range is typically a decent indicator of variability. The range can provide information about the breadth of the distribution when combined with metrics of central tendency. But if your data collection contains outliers, the range may be deceptive.
Learn more about range here: brainly.com/question/17553524
#SPJ4
Answer:
A natural number is a number that occurs commonly and obviously in nature. As such, it is a whole, non-negative number.
Step-by-step explanation:
Answer: 41.2 degrees
Step-by-step explanation:
Complementary angles are angles that add to 90 degrees, so if they were equal, they would be 45 and 45, but since one is 3.8 more, it is 45+3.8 = 48.8 and the other, to add to 90 degrees is 90-48.8 = 41.2
The answer would be 4. If you turn it to decimals, which would be 1.25 and 2.75, added together, it would be 4.