The mean is 40; the median is 34; the range is 52; the interquartile range is 52; the standard deviation is 41.8; and 76 is an outlier.
Step-by-step explanation:
To find the mean, find the sum of all data points and divide by the number of data points, 8:
24+33+33+33+35+42+44+76 = 320/8 = 40
To find the median, list the data in order from least to greatest and find the middle value. The middle will be between 33 and 35; averaging these two numbers,
(33+35)/2 = 34.
To find the interquartile range, we first find the Upper Quartile and Lower Quartile. This means we find the median of the upper half of the data; this is between 42 and 44:
(42+44)/2 = 43
We also find the median of the lower half of the data; this is between 33 and 33, so it is 33.
The interquartile range is 43-33=10.
To find the standard deviation, we subtract the mean from each data point, square it, add them together and find the square root:

To determine if a number is an outlier, we find any numbers 1.5 times the IQR below the lower quartile or any numbers 1.5 times the IQR above the upper quartile:
1.5(10) = 15
43+15 = 58; 76 is an outlier;
33-15 = 18; no lower outliers.