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Name: ___Date: ___Assignment 2.2 Outliers, Trimming the Mean & Percentiles 1. Determine the range and identify any outliers in each data set. a) 21, 18, 25, 9, 22, 19, 31, 20, 19, 21b) 1, 5, 7, 3,
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How to fill out assignment 22 outliers trimming

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How to fill out assignment 22 outliers trimming

01
Identify the outliers in your data set using appropriate statistical methods.
02
Determine the criteria for trimming the outliers, such as setting a threshold based on standard deviations or percentiles.
03
Remove the outliers from the data set based on the criteria established in step 2.
04
Verify that the outliers have been successfully trimmed and analyze the impact on the data set.

Who needs assignment 22 outliers trimming?

01
Researchers or analysts working with data sets that contain outliers and wish to clean the data for further analysis.
02
Individuals conducting statistical studies or experiments that require the removal of extreme values to improve the accuracy of the results.
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Assignment 22 outliers trimming refers to a statistical process used to remove or mitigate the impact of outliers in data analysis, ensuring that the analysis reflects more accurate and reliable results.
Organizations or individuals conducting data analysis that involves statistical reporting may be required to file assignment 22 outliers trimming to ensure compliance with data integrity standards.
To fill out assignment 22 outliers trimming, one must collect the relevant data, identify the outliers, apply appropriate statistical methods to trim or adjust the data, and then document the process and results in the assigned format.
The purpose of assignment 22 outliers trimming is to enhance the quality of data analysis by eliminating outliers that could skew results, allowing for a more accurate interpretation of the data and more reliable conclusions.
Information that must be reported on assignment 22 outliers trimming includes the original dataset, the identified outliers, the methods used for trimming, and the final adjusted dataset along with any relevant findings.
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