## MINITAB STEM AND LEAF PLOT EXPLANATION

The median is in the row that has values between 95 seconds and 99 seconds. Investigate any surprising or undesirable characteristics. Correct any data entry or measurement errors. The stem-and-leaf plot with right-skewed data shows wait times. Look for indicators of nonnormal or unusual data Skewed data and multi-modal data indicate that data may be nonnormal. We could divide 85 into a stem of 8 and a leaf of 5. The first row of the stem-and-leaf plot of Wait times has a stem value of 8 and contains the leaf values 0, 2, and 3.

Therefore, because the stem contains 7 leaves, the depths column for that row contains a 7 in parentheses. If you have more than 50 data points, consider using a boxplot or a histogram. Now, rather than looking at a list of 64 unordered IQs, we have a nice picture of the data that quite readily tells us that: Assess how the sample size may affect the appearance of the stem-and-leaf plot. The following stem-and-leaf plots are skewed. For example, the first number in the depths column is a 1. On a stem-and-leaf plot, isolated values at the ends identify possible outliers.

## Stem and Leaf Plot

Consider removing data values that are associated with abnormal, one-time events special causes. Assess the key characteristics Examine the center and spread of the distribution. Here’s what Minitab’s stem-and-leaf plot of the 64 IQs looks like: For example, note that the first 9 row contains the 0 to 4 leaves, while the second 9 row contains the 5 to 9 leaves.

The median is in the row that has values between 95 seconds and 99 seconds.

### Interpret the key results for Stem-and-Leaf Plot – Minitab Express

Let’s consider a random sample of 20 concentrations of calcium carbonate CaCO 3 in milligrams per liter. The values for rows above and below the median are cumulative. Skewed data When data are skewed, the majority of the data are located on the high or low side of the graph. To create the plot then, we first create a column of numbers containing the ordered stems.

Normal Distributions Section 4: If the sample is greater than 50, the data points on the plot may extend too far, and the distribution may be difficult to assess. We could divide 83 into a stem of 8 and a leaf of 3. wnd

Bivariate Distributions Section 5: Outliers may indicate other conditions in your data. Here’s what the our stem-and-leaf plot would look like after adding the first five numbers85, 83, 98, explanxtion Let’s take a look at another example. When data are skewed, the majority of the data are located on the high or low side of the graph.

For each row, the number in the “stem” the middle column represents the first digit or digits of the sample values. For example, the first number in the depths minitwb is a 1.

The count for a row above the median represents the total count for that row and all the rows above it. The leaf unit is 1. In This Topic Step 1: Here’s what Minitab’s stem-and-leaf plot of the 64 IQs looks like:.

## Stem-and-Leaf Plots

Therefore, because the stem contains 7 leaves, the depths column for that row contains a 7 in parentheses. Continuous Random Variables Lesson Look for indicators of nonnormal or unusual data. A peak represents the mode of a set of data. The stem-and-leaf plot with left-skewed data shows failure time data. The “leaf unit” at the top of the plot indicates which decimal place the leaf values represent.

The first row of the stem-and-leaf plot of Wait times has a stem value of 8 and contains the leaf values 0, 2, and 3. If you know that miitab data are not naturally skewed, investigate possible causes.

The first row has a stem value of 8 ezplanation contains the leaf values 0, 2, and 3. That column contains what are called depths.

Sample size N The sample size can affect the appearance of the graph. Ldaf a stem-and-leaf plot represents each data value, it is best when the sample size is less than approximately Data values For each row, the number in the “stem” the middle column represents the first digit or digits of the sample values. Now, back to that first column of numbers appearing in Minitab’s plot.

If the sample is greater than 50, the data points on the plot may extend too far, and the minigab may be difficult to assess.