identifying outliers
kuweka matokeo ya kuchunguza
outliers removed
matokeo yameondolewa
investigating outliers
kuchunguza matokeo
extreme outliers
matokeo ya mizigo
handling outliers
kutafuta matokeo
outliers exist
matokeo inapatana
outlier analysis
utafiti wa matokeo
detecting outliers
kutafuta matokeo
outliers impact
matokeo ya mwelekeo
significant outliers
matokeo ya ujumla
the data contained several outliers that skewed the average.
data ilifichua mengine ya outliers ambayo yalimkonoa mamlaka ya wasilumaji.
we investigated the outliers to understand their potential causes.
tulitafuta outliers ili kujua mifano yao ya kusababisha.
removing the outliers improved the model's predictive accuracy.
kutafuta outliers kulipinda ujumbe wa model kwa ujumla.
the outlier analysis revealed a possible data entry error.
utafutaji wa outliers ulionywa kusababisha kusambaza data.
identifying outliers is crucial for robust statistical analysis.
kutafuta outliers ni muhimu kwa ujumbe wa utafutaji wa statistiki.
the scatter plot clearly showed several outliers in the dataset.
graph ya scatter ulionywa outliers mengine katika dataset.
we used a robust method to handle the outliers effectively.
tulitumia njia ya ujumbe kwa ujumla kwa kutafuta outliers.
the presence of outliers can significantly impact the results.
kutumia outliers kulipinda mifano ya matokeo.
further investigation is needed to determine the source of the outliers.
kutafuta mifano ya outliers ni muhimu kwa kujua mifano yao.
the team flagged the outliers for further review and validation.
team ulionywa outliers kwa kutafuta mifano yao na kusambaza.
outliers can sometimes indicate a new trend or phenomenon.
outliers kulipinda mifano ya mengine ya ujumbe au ujumbe.
identifying outliers
kuweka matokeo ya kuchunguza
outliers removed
matokeo yameondolewa
investigating outliers
kuchunguza matokeo
extreme outliers
matokeo ya mizigo
handling outliers
kutafuta matokeo
outliers exist
matokeo inapatana
outlier analysis
utafiti wa matokeo
detecting outliers
kutafuta matokeo
outliers impact
matokeo ya mwelekeo
significant outliers
matokeo ya ujumla
the data contained several outliers that skewed the average.
data ilifichua mengine ya outliers ambayo yalimkonoa mamlaka ya wasilumaji.
we investigated the outliers to understand their potential causes.
tulitafuta outliers ili kujua mifano yao ya kusababisha.
removing the outliers improved the model's predictive accuracy.
kutafuta outliers kulipinda ujumbe wa model kwa ujumla.
the outlier analysis revealed a possible data entry error.
utafutaji wa outliers ulionywa kusababisha kusambaza data.
identifying outliers is crucial for robust statistical analysis.
kutafuta outliers ni muhimu kwa ujumbe wa utafutaji wa statistiki.
the scatter plot clearly showed several outliers in the dataset.
graph ya scatter ulionywa outliers mengine katika dataset.
we used a robust method to handle the outliers effectively.
tulitumia njia ya ujumbe kwa ujumla kwa kutafuta outliers.
the presence of outliers can significantly impact the results.
kutumia outliers kulipinda mifano ya matokeo.
further investigation is needed to determine the source of the outliers.
kutafuta mifano ya outliers ni muhimu kwa kujua mifano yao.
the team flagged the outliers for further review and validation.
team ulionywa outliers kwa kutafuta mifano yao na kusambaza.
outliers can sometimes indicate a new trend or phenomenon.
outliers kulipinda mifano ya mengine ya ujumbe au ujumbe.
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