iI have a dataset as below:
4.8856
4.8914
4.9125
4.9338
4.9563
4.993
4.9947
4.9947
4.995
5.2932
4.981
4.981
4.981
4.982
4.982
4.982
4.982
4.983
4.983
4.984
4.984
Histogram
When iI use 3*IQR in boxplot R to detect outliers, it gives me 10 records out of 21 as outliers. However, as iI can see from the histogram there is mainly 1 outlier (the right mostrightmost) which iI need to filter out.
whatWhat would be the recommended outlier detection method for this data?
i have a dataset as below
4.8856
4.8914
4.9125
4.9338
4.9563
4.993
4.9947
4.9947
4.995
5.2932
4.981
4.981
4.981
4.982
4.982
4.982
4.982
4.983
4.983
4.984
4.984
Histogram
When i use 3*IQR in boxplot R to detect outliers, it gives me 10 records out of 21 as outliers. However, as i can see from histogram there is mainly 1 outlier (the right most) which i need to filter out.
what would be the recommended outlier detection method for this data?
I have a dataset as below:
4.8856
4.8914
4.9125
4.9338
4.9563
4.993
4.9947
4.9947
4.995
5.2932
4.981
4.981
4.981
4.982
4.982
4.982
4.982
4.983
4.983
4.984
4.984
Histogram
When I use 3*IQR in boxplot R to detect outliers, it gives me 10 records out of 21 as outliers. However, as I can see from the histogram there is mainly 1 outlier (the rightmost) which I need to filter out.
What would be the recommended outlier detection method for this data?
i have a dataset as below
4.8856
4.8914
4.9125
4.9338
4.9563
4.993
4.9947
4.9947
4.995
5.2932
4.981
4.981
4.981
4.982
4.982
4.982
4.982
4.983
4.983
4.984
4.984
Histogram
When i use 3*IQR in boxplot R to detect outliers, it gives me 10 records out of 21 as outliers. However, as i can see from histogram there is mainly 1 outlier (the right most) which i need to filter out.
what would be the recommended outlier detection method for this data?