A summary consists of five values: the most extreme values in the data set (the maximum and minimum values), the lower and upper quartiles, and the median. These values are presented together and ordered from lowest to highest: minimum value, lower quartile (Q1), median value (Q2), upper quartile (Q3), maximum value.

## Can a five number summary be used to calculate standard deviation?

How to estimate the sample mean and standard deviation from the five number summary? In some clinical studies, researchers may report the five number summary (including the sample median, the first and third quartiles, and the minimum and maximum values) rather than the sample mean and standard deviation.

## Which is not part of the five number summary?

Terms in this set (5) Which of he following is not part of a five-number summary? The mean.

## Which five numbers are included in the five number summary for a data set quizlet?

For a set of data, the minimum, first quartile, median, third quartile, and maximum. (A boxplot is a visual display of the five-number summary.)

## Which data display technique uses the five number summary?

A boxplot is a graphic display of quantitative data that illustrates the five number summary. A categorical variable is a variable that can take on one of a limited number of values.

## What is the shape of a box and whisker plot?

The box plot shape will show if a statistical data set is normally distributed or skewed. When the median is in the middle of the box, and the whiskers are about the same on both sides of the box, then the distribution is symmetric.

## How do you interpret a Boxplot in statistics?

How to Interpret a Boxplot

1. Range. If you are interested in the spread of all the data, it is represented on a boxplot by the horizontal distance between the smallest value and the largest value, including any outliers.
2. Interquartile range (IQR). The middle half of a data set falls within the interquartile range.

## What is the difference between a dot plot and a histogram?

Histograms subdivide data into intervals (bins), and use rectangles (usually columns) to show the frequency (count) of observations in each interval. Dot plots include ALL values from the data set, with one dot for each occurrence of an observed value from the set.

## Why do we use frequency polygons?

Frequency polygons are a graphical device for understanding the shapes of distributions. They serve the same purpose as histograms, but are especially helpful in comparing multiple sets of data.

## How do you determine the bin range for a histogram?

Choose between 5 and 20 bins. The larger the data set, the more likely you’ll want a large number of bins. For example, a set of 12 data pieces might warrant 5 bins but a set of 1000 numbers will probably be more useful with 20 bins. The exact number of bins is usually a judgment call.

## What is the bin in a histogram?

A histogram displays numerical data by grouping data into “bins” of equal width. Each bin is plotted as a bar whose height corresponds to how many data points are in that bin. Bins are also sometimes called “intervals”, “classes”, or “buckets”.

## What graph is used for continuous data?

Bar graphs, line graphs, and pie charts are useful for displaying categorical data. Continuous data are measured on a scale or continuum (such as weight or test scores). Histograms are useful for displaying continuous data. Bar graphs, line graphs, and histograms have an x- and y-axis.

## How do you represent continuous data?

Continuous data is represented by a range of data that results from measuring. For example, taking the average temperatures for each month during a year is an example of continuous data. Also remember from an earlier Concept how you distinguished between these types of data when you graphed them.