# What does it mean when a box plot has no whiskers?

## What does it mean when a box plot has no whiskers?

For a box-and-whisker plot you order the data numerically from smallest to largest and find the lower quartile, median and upper quartile. The median is 2, the lower quartile (the median of the values less than the median) is 1 and the upper quartile is 3. Thus the box extends from 1 to 3 are there are no whiskers.

## What percent of the sophomores spend more than 60 minutes on homework per night?

25%
25% of the sophomores spend between 48 & 60 minutes per night on homework.

How do you compare two box and whisker plots?

That’s a quick and easy way to compare two box-and-whisker plots. First, look at the boxes and median lines to see if they overlap. Then check the sizes of the boxes and whiskers to have a sense of ranges and variability. Finally, look for outliers if there are any.

What are box and whisker plots used for in real life?

Box plots are among the most used types of graphs in the business, statistics and data analysis. It is especially useful when you want to see if a distribution is skewed and whether there are potential unusual data values (outliers) in a given dataset. These plots are also widely used for comparing two data sets.

### What is the mean of whisker?

1 whiskers plural : the part of the beard that grows on the sides of the face and on the chin. 2 : one hair of the beard. 3 : a long bristle or hair growing near the mouth of an animal (as a cat)

### What a box plot tells you?

A boxplot is a standardized way of displaying the distribution of data based on a five number summary (“minimum”, first quartile (Q1), median, third quartile (Q3), and “maximum”). It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.

What does it mean if a Boxplot is skewed left?

Skewed data show a lopsided boxplot, where the median cuts the box into two unequal pieces. If the longer part of the box is to the right (or above) the median, the data is said to be skewed right. If the longer part is to the left (or below) the median, the data is skewed left.

Which cost is the upper quartile?

The upper quartile, or third quartile (Q3), is the value under which 75% of data points are found when arranged in increasing order. The median is considered the second quartile (Q2). The interquartile range is the difference between upper and lower quartiles.

#### How do you compare two box plots examples?

Guidelines for comparing boxplots

1. Compare the respective medians, to compare location.
2. Compare the interquartile ranges (that is, the box lengths), to compare dispersion.
3. Look at the overall spread as shown by the adjacent values.
4. Look for signs of skewness.
5. Look for potential outliers.

#### How do you make a whisker plot?

To create a box-and-whisker plot, we start by ordering our data (that is, putting the values) in numerical order, if they aren’t ordered already. Then we find the median of our data. The median divides the data into two halves. To divide the data into quarters, we then find the medians of these two halves.

How do you calculate box plots?

Steps Gather your data. Organize the data from least to greatest. Find the median of the data set. Find the first and third quartiles. Draw a plot line. Mark your first, second, and third quartiles on the plot line. Make a box by drawing horizontal lines connecting the quartiles. Mark your outliers.

How do you construct a box plot?

To construct a box plot of your data, follow these steps: Store your data in the calculator. Turn off any Stat Plots or functions in the Y= editor that you don’t want to be graphed along with your histogram. Press [2nd][Y=] to access the Stat Plots menu and enter the number (1, 2, or 3) of the plot you want to define. Highlight On or Off. Press

## How do box and whisker plot work?

A box and whisker plot is a way of summarizing a set of data measured on an interval scale. It is often used in explanatory data analysis. This type of graph is used to show the shape of the distribution, its central value, and its variability.