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  1. The Outliers Worksheet with Answer Key is a document that provides practice exercises and their solutions related to the concept of outliers in data analysis. These worksheets help students understand how to identify and analyze outlier values in a data set.

  2. 30 Νοε 2021 · Your outliers are any values greater than your upper fence or less than your lower fence. Example: Using the interquartile range to find outliers. We’ll walk you through the popular IQR method for identifying outliers using a step-by-step example. Your dataset has 11 values.

  3. Score : Printable Math Worksheets @ www.mathworksheets4kids.com Name : Answer Key Sheet 1 Write the outliers for each set of data. 1) 92, 88, 106, 169, 76, 72, 67, 10 ...

  4. 4 Οκτ 2022 · Your outliers are any values greater than your upper fence or less than your lower fence. Example: Using the interquartile range to find outliers. We’ll walk you through the popular IQR method for identifying outliers using a step-by-step example. Your dataset has 11 values.

  5. An outlier is defined as being any point of data that lies over 1.5 IQRs below the first quartile (Q 1) or above the third quartile (Q 3)in a data set. High = (Q 3) + 1.5 IQR Low = (Q 1) – 1.5 IQR. Example Question: Find the outliers for the following data set: 3, 10, 14, 22, 19, 29, 70, 49, 36, 32.

  6. choosing the appropriate measure. outliers: How it affects the mean, median, mode, and range. what is an outlier. summarizing the effects of the outlier. application of the measures of central tendency. to summarize.

  7. 24 Ιαν 2022 · What Is the Outlier Formula? The outlier formula — also known as the 1.5 IQR rule — is a rule of thumb used for identifying outliers. Outliers are extreme values that lie far from the other values in your data set. The outlier formula designates outliers based on an upper and lower boundary (you can think of these as cutoff points).

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