## Is there a box plot in Excel 2007?

Excel 2007 included a number of new features such as the Office Ribbon interface that were not present in previous versions of the program. One feature that was lacking however was an easy way to make box-and-whisker plots, so-called because their outliers resemble cat whiskers.

## How do you find the outlier in a box plot?

When reviewing a box plot, an outlier is defined as a data point that is located outside the whiskers of the box plot. For example, outside 1.5 times the interquartile range above the upper quartile and below the lower quartile (Q1 – 1.5 * IQR or Q3 + 1.5 * IQR).

**How do you graph outliers in Excel?**

To create a scatter plot graph in Excel click on “Insert” and then select the scatter plot chart type from the charts section. You’ll need to pick the relevant data set, series name, X and Y axes. Once the scatter plot is built, you’ll be able to easily identify outliers in the data set.

### What are outliers in Excel?

An outlier is a value that is significantly higher or lower than most of the values in your data. When using Excel to analyze data, outliers can skew the results. For example, the mean average of a data set might truly reflect your values.

### How do you find outliers in Excel?

You can do this by following the formula below: Lower range limit = Q1 – (1.5* IQR). Essentially this is 1.5 times the inner quartile range subtracting from your 1st quartile. Higher range limit = Q3 + (1.5*IQR) This is 1.5 times IQR+ quartile 3.

**How do I create a boxplot in Excel?**

- Step 1: Calculate the quartile values.
- Step 2: Calculate quartile differences.
- Step 3: Create a stacked column chart.
- Step 4: Convert the stacked column chart to the box plot style. Hide the bottom data series. Create whiskers for the box plot. Color the middle areas.

#### How do you determine outliers?

Calculate the interquartile range The general rule for using it to calculate outliers is that a data point is an outlier if it is over 1.5 times the IQR below the first quartile or 1.5 times the IQR above the third quartile. To calculate the IQR, you need to know the percentile of the first and third quartile.

#### In which cases can you drop the outliers in box and whisker plot?

Outliers. If a data value is very far away from the quartiles (either much less than Q1 or much greater than Q3 ), it is sometimes designated an outlier . Instead of being shown using the whiskers of the box-and-whisker plot, outliers are usually shown as separately plotted points.

**How do you find outliers in data?**

Example: Using the interquartile range to find outliers

- Step 1: Sort your data from low to high.
- Step 2: Identify the median, the first quartile (Q1), and the third quartile (Q3)
- Step 3: Calculate your IQR.
- Step 4: Calculate your upper fence.
- Step 5: Calculate your lower fence.