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.
12x+30+4
12x+34
This is 12x + 34 because when we combine all like terms, we get it.
Answer:
= 2 × 625 – 5 × 125 + 25 + 3 × 5 + 2
=1250 – 625 + 25 + 15 +2
= 1292 – 625
= 667
Answer:
Step-by-step explanation:
the slope of -9 is -9/1
Slope formula is y2-y1/x2-x1.
Using this, we can say that -3 – 2/5 – 0=
1.
