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To accurately assess the correctness of statements concerning outliers, I would need to see the specific statements in question. In general, outliers are data points that differ significantly from the overall pattern of data, and they can influence statistical analyses, such as mean and standard deviation. Identifying outliers is important for understanding data distribution and ensuring the robustness of statistical conclusions.

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In a data plot about half the data points will lie below the line that best fits?

Yes. The exception arises when you have outliers.


What quartile are outliers always found in?

Outliers are typically found in the first and fourth quartiles, outside the interquartile range (IQR). Specifically, any data point that falls below Q1 - 1.5 × IQR or above Q3 + 1.5 × IQR is considered an outlier. Therefore, outliers can exist in both the lower and upper extremes of the data distribution.


The picture of Ada Lovelace?

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When should you throw out an outliers?

If the result is 1.5 x Inter Quartile Range (or more) above the Upper Quartile or 1.5 x Inter Quartile Range (or more) below the Lower Quartile.


Which term best describes a mathematical statement of the form shown below If A then B. A. Deductive statement B. Conjecture C. Proof D. Conditional statement?

[object Object]

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