Select the outlier in the data set. 32, 42, 46, 56, 60, 66, 68, 70, 765

Identify Outlier: Identify the data set and look for any numbers that seem significantly different from the others. Data set: 32, 42, 46, 56, 60, 66, 68, 70, 765 By observation, 765 seems significantly higher than all other numbers in the set.Calculate Range and IQR: Calculate the range and the interquartile range (IQR) of the data set to determine the outlier formally. However, since the data set is small and one number is significantly larger than the rest, we can identify the outlier without detailed calculations.Confirm Outlier: Confirm that 765 is an outlier by comparing it to the rest of the data set. All other numbers are within a range of 38 units (70 - 32), while 765 is 695 units away from the closest number (765 - 70).

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Select the outlier in the data set. $\newline$ $32, 42, 46, 56, 60, 66, 68, 70, 765$

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Grade 7

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Q. Select the outlier in the data set.

\newline

32, 42, 46, 56, 60, 66, 68, 70, 765

Identify Outlier: Identify the data set and look for any numbers that seem significantly different from the others. $\newline$ Data set: $32, 42, 46, 56, 60, 66, 68, 70, 765$ $\newline$ By observation, $765$ seems significantly higher than all other numbers in the set.
Calculate Range and IQR: Calculate the range and the interquartile range (IQR) of the data set to determine the outlier formally. However, since the data set is small and one number is significantly larger than the rest, we can identify the outlier without detailed calculations.
Confirm Outlier: Confirm that $765$ is an outlier by comparing it to the rest of the data set. All other numbers are within a range of $38$ units ( $70 - 32$ ), while $765$ is $695$ units away from the closest number ( $765 - 70$ ).