Select the outlier in the data set.53,63,67,69,70,71,72,76,747If the outlier were removed from the data set, would the mean increase or decrease?Choices:(A)increase(B)decrease
Q. Select the outlier in the data set.53,63,67,69,70,71,72,76,747If the outlier were removed from the data set, would the mean increase or decrease?Choices:(A)increase(B)decrease
Identify Outlier: Identify the outlier in the given data set: 53,63,67,69,70,71,72,76,747. An outlier is a data point that is significantly different from the rest of the data. In this case, 747 is much larger than all other numbers and is the outlier.
Remove Outlier: Remove the outlier 747 from the data set and observe the change in the mean.The original data set with the outlier: 53,63,67,69,70,71,72,76,747.The data set without the outlier: 53,63,67,69,70,71,72,76.
Calculate Mean with Outlier: Calculate the mean of the original data set with the outlier.Mean with outlier = (53+63+67+69+70+71+72+76+747)/9Mean with outlier = (1238+747)/9Mean with outlier = 1985/9Mean with outlier ≈220.56
Calculate Mean without Outlier: Calculate the mean of the data set without the outlier.Mean without outlier = (53+63+67+69+70+71+72+76)/8Mean without outlier = 541/8Mean without outlier ≈67.625
Compare Means: Compare the means to determine if the mean would increase or decrease upon removal of the outlier. The mean with the outlier is approximately 220.56, and the mean without the outlier is approximately 67.625. Removing the outlier significantly decreases the mean.
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