part ii: qe tools software tutorial

Module 24 – QE Software Tutorial 2

Copyright, University of Michigan Online Green Belt Transactional Course 1

1

Part II: QE Tools Software Tutorial Descriptive Statistics, Graphical Tools, Correlation, and Simple Regression

An excel-based Six Sigma statistical software add-in.

QETOOLS

qetools.com

2

Part II Topics

V. Descriptive Statistics

VI. Graphical Tools

VII. Correlation and Simple Regression

Note: Not all tools are shown in this tutorial.See help files for additional examples.



3

V. Descriptive Statistics

4

Descriptive Statistics > Basic Descriptive Statistics



5

Descriptive Statistics > Basic Descriptive Statistics Dialogue Box

Select one or more variables from the variable list to analyze.

Stats may also be calculated by a “grouping variable.” Select a grouping variable from the variable list or select a range from a worksheet.

6

Descriptive Statistics > Basic Descriptive Statistics – ResultsBasic statistics are calculated for one or more variables that are entered into the analysis.

Here, output is shown for the variable “TotalWait” with a grouping variable of “Team” (which has values of “A,” “B” and “C”).

One Variable Multiple Output Variables

One Output Variable Stratified by Grouping Variable



7

VI. Graphical Tools

Run ChartPareto Analysis

HistogramBox Plot

Scatter Plot

* Note: Additional graphical tools available in QE Tools.

8

Graphical Tools > Run Chart



9

Graphical Tools > Run Chart Dialogue Box

Select one or more variables from the variable list to analyze (note: all output appear on a single run chart).

Optionally, modify the scale setting for the Y axis.

10

Run Chart – Sample Results

Single Variable

Or, You May SelectMultiple Variables



11

Graphical Tools > Pareto Analysis

12

Graphical Tools > Pareto Analysis Dialogue Box

Select a data and a category variable to create a Pareto chart.

Optionally, modify the output setting for the left and right Y axes.



13

Graphical Tools > Pareto Analysis Data Format

Category Sum Data*

*Note: sum data may be calculated by summing up data columns for different categories, or using the tabulation tool inside QETools.

14

Graphical Tools > Pareto Analysis – Sample Result

Tool Option: Show Relative and Cumulative Frequency



15

Graphical Tools > Histogram

16

Histogram – Dialogue Box

Use either Absolute or Relative Frequency for Y-axis.

Select a variable from the variable list to analyze (note: if select more than one variable, each variable is output to its own results worksheet).

Replace



17

Histogram – Sample Results

Enter a “1st Bin” and/or “Width” value to adjust the output to your liking. “1st Bin”and the slider adjustment (for bin width) can be used simultaneously.

Slide the slider to dynamically adjust the bin widths (and update the data table and the histogram)

The output contains:• Frequency table (frequency of observations

falling within a certain data range or bin)• Frequency count: (previous bin ~

current bin]• Histogram

18

Graphical Tools > Box Plot (single or multi)



19

Box Plot (single or multi) –Dialogue Box Example à Single

20

Box Plot (single) – Sample Results



21

Graphical Tools > Box Plot (multi)Dialogue Box -- Include Grouping Variable

22

Box Plot (multi) – Sample Results



23

Graphical Tools > Scatter Plot

24

Graphical Tools > Scatter PlotDialogue Box

Select an input (X) and output (Y) variable to plot.

Alternatively, select a 2-column data range from any worksheet (include data labels in the first row, and use Column 1 for X, Col 2 for Y).

Scatter plot chart options:• Trend line – show linear, quadratic, or no trend line.• Show R2

• Show best fit equation



25

Graphical Tools > Scatter Plot Sample Results

Linear ModelR R 2

0.86 0.73 Timeinwatingroom TotalWait Scatter Plot

y = 1.6054x + 17.045R

2 = 0.7313

0

20

40

60

80

100

120

140

160

0 20 40 60 80 100

Timeinwatingroom

Tota

lWai

t

Correlation Coefficient, R R-squared

Note: Scatter Plot also providedunder simple regression tool.

26

VII. Correlation and Simple Regression

Run ChartPareto Analysis

HistogramBox Plot

Scatter Plot

* Note: Additional graphical tools available in QE Tools.



27

Regression and Correlation > Correlation Matrix

28

Regression and Correlation > Correlation Matrix Dialogue Box

Enter a threshold to highlight data with a strong correlation (|correlation| > threshold will be highlighted). Typically, a 0.7 cutoff is standard to indicate a strong correlation.

Select one or more variables from the variable list to analyze.

Variables must contain numeric data to be included in a correlation matrix. “Text” data will be omitted [more].



29

Regression and Correlation > Correlation Matrix, R, Results

n Matrix shows all pairwise comparisons of selected variables (Max 50 variables).

Data with a correlation stronger than the threshold is emphasized with bold text (note: either a strong positive or strong negative will be emphasized).

30

Regression and Correlation > Simple Linear Regression



31

Regression and Correlation > Simple Regression Dialogue Box

Select the variables to analyze.

X and Y variables must have the same N or the analysis will terminate.

32

Regression and Correlation > Simple Linear Regression Results

Response optimizer allows you to input an X and solve for Y (or Vice Versa) based on best fit equation.Alternatively, you may use slider buttons directly in graph.

part ii: qe tools software tutorial

Documents