True or False
1. To determine if a value is an outlier we can multiply the
interquartile range by 1.5. Any outlier will be outside the range
of the product of that value and Q1 to the product of that
value and Q3.
2. To determine if a value is an outlier, you would add and
subtract the variance from the mean. If any value is outside that
range, it would be considered an outlier.
3.
The data below represent the length of time, rounded to the
nearest minute, it took Joe to drive to work over the past 27
days.
44 46 43 39 36 42 33 31 34
34 41 28 42 35 38 36 35 42
31 27 27 46 34 37 37 39 32
This would be an example of which type of data?
Please write one simple explanation.