Cumulative frequency and probability
Cumulative frequency and cumulative relative frequency, the cumulative distribution function of a discrete random variable, grouped continuous data, median and quartiles from a cumulative graph, and probability as area under a histogram.
Cumulative frequency
The cumulative frequency of a value is the number of results less than or equal to it. Dividing by the total gives the cumulative relative frequency, which runs from $0$ up to $1$.
$40$ students recorded how many books they read in a month. Complete the table.
| Books | Frequency | Cumulative frequency | Cumulative relative frequency |
|---|---|---|---|
| 0 | 6 | 6 | 0.15 |
| 1 | 16 | 22 | 0.55 |
| 2 | 10 | 32 | 0.8 |
| 3 | 8 | 40 | 1 |
The cumulative distribution function
For a discrete random variable, $F$ is found by adding the probabilities up to and including $x$. Its graph is a step graph that rises from $0$ to $1$ and never decreases.
$X$ is the score on a fair die. Find $F(4)$ and $P(X \gt 4)$.
Grouped data, median and quartiles
Continuous data such as heights is grouped into classes. On a cumulative relative frequency graph (an ogive), read across from $0.5$ for the median, and from $0.25$ and $0.75$ for the lower and upper quartiles. The mode is the most frequent value, or the modal class for grouped data.
For the books data in Example 1, find the median and the quartiles.
Probability as area
In a relative frequency histogram with columns of width $1$, the area of each column equals its relative frequency, so the total area is $1$. The probability of landing in a range is the area over that range. Continuous distributions take this idea to the limit, with a smooth curve in place of the columns.
In Example 1, how many students read at most $1$ book?
$6 + 16$.
In Example 1, find the cumulative relative frequency for $2$ books.
$\tfrac{32}{40}$.
In Example 1, what proportion of students read $3$ books?
$1 - 0.8$.
$X$ is the score on a fair die. Find $F(4)$.
$\tfrac46$.
For the die, find $P(X \gt 4)$.
$1 - F(4)$.
For the die, find $F(6)$.
Every score is at most $6$.
On an ogive, the median is read from cumulative relative frequency:
Half the data is below the median.
The graph of a cumulative distribution function:
It adds up probabilities, which are never negative.
In a relative frequency histogram with column width $1$, the total area of the columns is:
The relative frequencies add to $1$.
New numbers every time. Keep going until you get five in a row.
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