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Study with Quizlet and memorize flashcards containing terms like 1. The interquartile range is the difference between the _____., 2. The variance is equal to the _____., 3. Generally, which of the following is the least appropriate measure of central tendency for a data set that contains outliers? and more.
Outliers. "Outliers" are values that " lie out side" the other values. When we collect data sometimes there are values that are "far away" from the main group of data ... what do we do with them? Example: Long Jump. A new coach has been working with the Long Jump team this month, and the athletes' performance has changed.
30 Νοε 2021 · It’s important to carefully identify potential outliers in your dataset and deal with them in an appropriate manner for accurate results. There are four ways to identify outliers: Sorting method. Data visualization method. Statistical tests (z scores) Interquartile range method.
11 Ιουλ 2024 · Outliers are data values that are significantly smaller or larger than the rest of the dataset. They can be detected using z-scores, where values below -3 or above +3 are considered outliers. Outliers may result from errors in data collection, unusual events, or natural variation.
29 Μαΐ 2024 · Outlier Examples. Example 1: Dataset: 10, 12, 14, 16, 18, 500. Solution: Outlier Calculation: Using the IQR method, Q1 = 12, Q3 = 18. IQR = Q3 – Q1 = 6. Lower Bound = Q1 – 1.5 * IQR = 3. Upper Bound = Q3 + 1.5 * IQR = 27. The value 500 is an outlier. Example 2: Dataset: 20, 22, 24, 26, 28, 30. Solution: Outlier Calculation: Using Z-score,
