A teacher who records how long each student took on a test can show the results in several ways. A dot plot keeps every single time. A histogram sorts the times into intervals and counts them. A box plot boils everything down to five numbers. Each picture answers some questions exactly and leaves others open, and many SAT data questions turn on knowing which is which.
Key terms
Frequency
Definition The frequency of a value, or of an interval of values, is the number of observations in a data set that equal that value or fall in that interval. The frequencies of all the distinct values add up to the total number of observations. A relative frequency is a frequency divided by that total, often written as a percent.
In plain words Frequency means how many times something shows up.
Example Twelve students report how many siblings they have, with answers .
| Siblings | ||||
|---|---|---|---|---|
| Frequency |
The frequencies add to , one for each student. The relative frequency of sibling is , about percent.
Dot plot
Definition A dot plot places each possible value on a number line and draws one dot above that value for each observation equal to it, stacking the dots in a column. The height of a column, counted in dots, is the frequency of that value.
In plain words One dot is one observation. Nothing is grouped, so you can recover every value in the data set.
Example The sibling data as a dot plot has a column of dots above , dots above , dots above and dot above . To find how many students have at least siblings, count the dots above and , which gives students.
Histogram and grouped data
Definition A histogram divides the number line into intervals called bins, usually of equal width, and draws a bar over each bin whose height is the frequency (or relative frequency) of observations in that bin. The display must make clear which endpoint belongs to which bin. A common convention puts a value that falls on a boundary into the bin that starts there, so a bin from to contains but not . Always check the convention a question states. Data shown only as counts per interval are called grouped data.
In plain words A histogram counts how many values land in each interval. It tells you how many, not which ones.
Example Twenty students’ test times, in minutes, are grouped like this, with each bin including its left endpoint but not its right one.
| Time | to | to | to | to |
|---|---|---|---|---|
| Frequency |
The number of students who took at least minutes is , and the bar for to is the tallest, so that interval holds the most times.
Scale
Definition The scale of a display is the labeling of its axes, the value assigned to each gridline and what the vertical axis counts (frequency, relative frequency or percent). Every bar height or dot count must be read against these labels. When the bins of a histogram have equal width, bar heights compare frequencies directly. When the bins have unequal widths, the display must state whether the height or the area of a bar represents frequency.
In plain words Read the axis labels before reading any bar. A bar that looks three times taller may not mean three times as many.
Example A histogram for students has a vertical axis labeled percent, and one bar reaches . That bar stands for percent of , which is students, not . In another chart the vertical axis starts at instead of , and two bars reach and . The second bar looks three times as tall above the bottom edge, yet
so it is only about percent larger.
Quartiles
Definition The median of a data set is the middle value after the values are sorted from least to greatest. With values, it is the value in position when is odd and the mean of the two middle values when is even. The quartiles split the sorted data into four parts with roughly equal numbers of values. The second quartile is the median. One common convention takes the first quartile as the median of the values below the median position and the third quartile as the median of the values above it, leaving out the median itself when is odd. Other conventions exist and can give slightly different quartiles, so when a question supplies quartiles or shows them on a box plot, use those values.
In plain words Sort the data, find the middle, then find the middle of each half. Those three cut points are the quartiles.
Example Take the eleven values . The median is the sixth value, . The lower half is , with median , and the upper half is , with median . A convention that keeps in both halves would use as the lower half and give instead, which is why you should rely on given quartiles.
Box plot
Definition A box plot is drawn over a number line from five numbers, the minimum, , the median, and the maximum. A box runs from to with a line inside at the median, and whiskers run out to the minimum and the maximum. Some box plots mark outliers as separate points, and then the whiskers stop at the most extreme values that are not outliers.
In plain words A box plot shows where the data starts, where it ends and where the quarter marks fall. The middle half of the data lives inside the box.
Example A box plot of commute times has markers at , , , and minutes. The shortest commute is minutes, the longest is minutes, and the median is minutes. About half of the commutes are between and minutes, and about a quarter are minutes or longer.
Interquartile range
Definition The interquartile range of a data set is
It is the length of the box in a box plot and measures the spread of the middle half of the data. The range, by contrast, is the maximum minus the minimum.
In plain words The IQR tells you how wide the middle half of the data is, ignoring the extreme quarters at each end.
Example For the commute box plot, the IQR is minutes and the range is minutes. A question that asks for the IQR and offers as a choice is counting on you to subtract the wrong markers.
Information limitation
Definition Recall that the mean is the sum of the values divided by how many values there are. A display determines a quantity only when every data set consistent with the display gives that quantity the same value. A dot plot determines every value, so it determines the mean, the median and the range. A histogram determines the count in each bin and the total, but not individual values, so in general it does not determine the exact mean, median, minimum or maximum. A box plot determines its five numbers, the IQR and the range, but not the number of observations or the mean.
In plain words Ask what the display actually records. If two different data sets could produce the same picture and give different answers, the picture cannot answer the question.
Example The seven values and the nine values both have minimum , , median , and maximum , using the quartile convention above. They give identical box plots, so a box plot alone cannot tell you how many values there are. Likewise, in the test time histogram the longest time is somewhere in the bin from to minutes, but the display does not say exactly where.
Check yourself
- A dot plot shows the number of books each of students read last month. There are dots above , above , above , above and above . What is the median number of books? (A) (B) (C) (D)
Show the answer
The correct choice is (B). With values the median is the eighth value in order. The first values are or , and values six through nine are , so the eighth value is . Choice (C) averages and , the values with the two tallest columns, which confuses the most common values with the middle one. Choice (D) is the median of the column heights rather than of the observations. Choice (A) comes from stopping the count too early.
- A box plot of daily high temperatures, in degrees, has its five markers at , , , and . What is the interquartile range of the temperatures?
Show the answer
The answer is . The box runs from to , so the IQR is degrees. Subtracting the minimum from the maximum gives the range, , which is a different measure.
- A histogram shows the masses, in grams, of apples, with apples from to , from to , from to and from to . Each bin includes its left endpoint but not its right one. Which of the following can be determined exactly from the histogram? (A) The mean mass of the apples (B) The mass of the heaviest apple (C) The number of apples with a mass less than grams (D) The median mass of the apples
Show the answer
The correct choice is (C). The bins below grams hold apples. The mean needs the exact masses, which the bins hide, so (A) fails. The heaviest apple is somewhere from up to grams, so (B) fails. The median is the mean of the tenth and eleventh masses, one in the bin from to and the other in the bin from to , so its exact value is unknown and (D) fails.