Outliers are data that are in a very far distance from other values in a set of data
Once an outlier is detected in a set of data, we can do the following to them:
- Discard the outlier
- Change the value of the outlier with another value within close range
- Consider the distribution given
We may have a set of data where some of the <em>values are far in distance from the majority of the data</em>. The set of such data are known as an outlier.
For example, give the set of data;
45 can be considered as an outlier since the <em>distance of data</em><em> to all other data is</em><em> large</em><em>.</em>
Once an outlier is detected in a set of data, we can do the following to them:
- Discard the outlier
- Change the value of the outlier with another value within close range
- Consider the distribution given
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I would say B but Im not sure
Answer:
2/3
Step-by-step explanation:
Answer:
0.978230769231
Step-by-step explanation:
Step 1:
25.4340 ÷ 26 = 0.978230769231
Answer:
0.978230769231
Hope This Helps :)
Answer:
what do you need no one can help if you don't say what you need
Step-by-step explanation:
