The term for a point that varies greatly from all other data points is known as an <u>OUTLIER</u>
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Explanation:
- An outlier is a data point that differs significantly from other observations. An outlier may be due to variability in the measurement or it may indicate experimental error.
- An outlier can cause serious problems in statistical analyses.
- An outlier is an observation that lies an abnormal distance from other values in a random sample from a population. In a sense, this definition leaves it up to the analyst to decide what will be considered abnormal.
- A point that falls outside the data set's inner fences is classified as a minor outlier, while one that falls outside the outer fences is classified as a major outlier.
- The data here appear to come from a linear model with a given slope and variation except for the outlier which appears to have been generated from some other model.
- Outliers can occur by chance in any distribution, but they often indicate either measurement error or that the population has a heavy-tailed distribution.
Answer:
16 = small
74 = big
Step-by-step explanation:
4x+10 = big angle
x = small angle
4x+10+x = 90
5x+10 = 90
5x = 80
x = 16
4 x 16 + 10 = 74
Avocado out!!!!!!!!!
Answer:
2256
Step-by-step explanation:
you simply multiply the two together
:) Brainliest pls?
Answer:
The zeros are {2, -3, -4} which need to be plotted on the x-axis.
Step-by-step explanation:
I'll find the zeros, aka x-intercepts, and you could probably graph them.
To find the zeros, let's factor this polynomial:
r(x) = (x - 2)(x^2+7x+12)
r(x) = (x - 2)(x + 3)(x + 4)
The zeros are {2, -3, -4} which need to be plotted on the x-axis.