Is there an outlier in this data? If so, what is it?
3 answers
To determine if there is an outlier in the data, the data itself is required to make any conclusions. Please provide the data for analysis.
2, 1, 3, 0, 0, 2, 6, 13, 0, 5, 2, 1, 0, 8, 9
To identify any outliers, we can examine the data and calculate the interquartile range (IQR).
First, let's sort the data in ascending order:
0, 0, 0, 1, 1, 2, 2, 2, 3, 5, 6, 8, 9, 13
Next, calculate the IQR:
Q1 = 1st quartile = 0
Q3 = 3rd quartile = 6
IQR = Q3 - Q1 = 6 - 0 = 6
To identify outliers, we can use the rule that any data points outside the range of Q1 - 1.5 * IQR to Q3 + 1.5 * IQR are considered outliers.
Lower bound = Q1 - 1.5 * IQR = 0 - (1.5 * 6) = -9
Upper bound = Q3 + 1.5 * IQR = 6 + (1.5 * 6) = 15
Looking at the data, it does not contain any values that fall outside the range of -9 to 15. Therefore, there are no outliers in this dataset.
First, let's sort the data in ascending order:
0, 0, 0, 1, 1, 2, 2, 2, 3, 5, 6, 8, 9, 13
Next, calculate the IQR:
Q1 = 1st quartile = 0
Q3 = 3rd quartile = 6
IQR = Q3 - Q1 = 6 - 0 = 6
To identify outliers, we can use the rule that any data points outside the range of Q1 - 1.5 * IQR to Q3 + 1.5 * IQR are considered outliers.
Lower bound = Q1 - 1.5 * IQR = 0 - (1.5 * 6) = -9
Upper bound = Q3 + 1.5 * IQR = 6 + (1.5 * 6) = 15
Looking at the data, it does not contain any values that fall outside the range of -9 to 15. Therefore, there are no outliers in this dataset.