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Question 1: Outlier detection Draw boxplot and detect outliers 201,199, 269, 236, 278, 271, 303, 291,...

Question 1: Outlier detection
Draw boxplot and detect outliers
201,199, 269, 236, 278, 271, 303, 291, 283, 301, 341

Solutions

Expert Solution

201, 199, 269, 236, 278, 271, 303, 291, 283, 301, and 341

Therefore n = 11

  

Hence it is clear that any range above 333.5 or below 201.5 are outliers. Hence in the data series 199, 201, 236, 269,271,278,283,291, 301, 303, 341, outliers are 199, 201 and 341. These 3 values which lies on either of the extremes can be considered abnormal and should be discarded from the entire series so that any analysis made on this series is not influenced by these extreme values. So the data series that should be considered for further observation or study after discarding the outliers are as below.

236, 269,271,278,283,291, 301, 303.

Hope this may help you

Thank you ??


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INTRODUCTION TO DATA MINING Question 1: Outlier detection Draw boxplot and detect outliers 201,199, 269, 236, 278, 271, 303, 291, 283, 301, 341
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