Select the outlier in the data set.2,72,80,85,87,91,95,97,99If 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.2,72,80,85,87,91,95,97,99If 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 data set.To find the outlier, we can look for a number that is significantly different from the rest of the numbers in the set. In this case, the number 2 stands out as being much lower than all other numbers, which are all 72 or higher.
Confirm Outlier: Confirm that 2 is an outlier by comparing it to the rest of the data.An outlier is typically a value that is much higher or lower than the other values in a data set. In this case, 2 is much lower than the next lowest number, 72, which suggests that it is indeed an outlier.
Calculate Mean with Outlier: Calculate the mean of the original data set including the outlier.To calculate the mean, add all the numbers together and then divide by the number of values.Mean = (2+72+80+85+87+91+95+97+99)/9Mean = (708)/9Mean = 78.67 (rounded to two decimal places)
Calculate Mean without Outlier: Calculate the mean of the data set without the outlier.Remove the outlier 2 and then calculate the new mean.New Mean = (72+80+85+87+91+95+97+99)/8New Mean = (706)/8New Mean = 88.25 (rounded to two decimal places)
Compare Means: Compare the two means to determine if the mean would increase or decrease without the outlier. The original mean was 78.67, and the new mean without the outlier is 88.25. Since 88.25 is greater than 78.67, removing the outlier increases the mean.
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