Creating a Weibull Plot in Microsoft® Excel
Chapter 5, Example 16
- Launch Excel.
- Enter the data and calculations
- In cell A1, type "i"
- In cell B1, type "xi"
- In cell C1, type "ln(xi)"
- In cell D1, type "p"
- In cell E1, type "ln(-ln(1-p))"
- In cells A2-A21, enter the integers 1-20.
- In cells B2-B21, enter the insulation failure voltage data from Figure 5.24 (p. 275).
- In cell C2, type "=ln(B2)"
- Select cells C2-C21; then select "Edit --> Fill --> Down."
Excel fills Column C with the natural log of the values in Column B, as shown in Table 5.9 (p. 276).
- In cell D2, type "=(A2-0.5)/20"
- Select cells D2-D21; then select "Edit --> Fill --> Down."
Excel fills Column D with the formula (i-.5)/20, as shown in Table 5.9.
- In cell E2, type "=ln(-ln(1-D2))"
- Select cells E2-E21; then select "Edit --> Fill --> Down."
Excel fills Column E with the formula (ln(-ln(1-p)), as shown in Table 5.9.
Screenshot:
- Plot ln(-ln(1-p)) vs. ln(xi).
- Select "Insert --> Chart."
- In the dialog box that follows, select "XY (Scatter)" from the list labeled "Chart Type. Under "Chart sub-type," select the first option (no lines).
Screenshot:
- Click "Next."
- Fill out the "Data Range" panel of the resulting dialog box as follows:
| Input Type |
Label |
Value |
 |
Data Range: |
=Sheet1!$C$2:$C$21,Sheet1!$E$2:$E$21 |
 |
Columns |
selected |
Screenshot:
- Click "Next."
- Fill out the "Titles" pane of the resulting dialog box as follows:
| Input Type |
Label |
Value |
 |
Chart title: |
Weibull Plot for Insulation Failure Voltage |
 |
Value (X) axis: |
ln(failure voltage) |
 |
Value (Y) axis: |
ln(-ln(1-p)) |
Screenshot:
- Click "Next."
- Fill out the resulting dialog box as follows:
| Input Type |
Label |
Value |
 |
As object in: |
selected |
 |
As object in: |
Sheet1 |
Screenshot:
- Click "Finish."
Excel plots ln(-ln(1-p)) vs. ln(failure voltage) and inserts the chart into Sheet1.
Screenshot:
Note: you can resize the chart that contains the plot by clicking a blank area in the chart to select it and dragging one of the handles that appears on the chart's border. You can further modify the chart by double-clicking various chart elements.