discrete random variables and continuous variables

Discrete Random Variables

it’s when the variable takes on a countable number of distinct valuses, usually a whole number (Ex: The number of heads flipped in 10 coin flips)

What is a Continuous random variable

when a random variable takes on an uncountable number of values within a range, including decimals (Ex:The height of students in a class)

How do you distinguish a discrete from a continuous variable

Its countable (number of students in a class)

How do you distinguish a continuous from a discrete variable

Its measurable (weight of a watermelon)

In a modified boxplot, which elements may or may not appear, depending on the data set?

Outliers – Shown as individual points beyond the whiskers if the data set contains extreme values. If no outliers exist, they will not appear.

In a modified boxplot, which elements may or may not appear, depending on the data set?

Whiskers – Extend to the smallest and largest non-outlier values. If there are outliers, the whiskers stop at the last non-outlier value instead of the actual minimum and maximum.