Appendix 12.2 Chi-Square Tests Using MegaStat, Summaries of Printing

The instructions in this section begin by describing the entry of data into an Excel worksheet. Alternatively, the data may be downloaded from this book's ...

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Appendix 12.2 Chi-Square Tests Using MegaStat 511
Appendix 12.2 Chi-Square Tests Using MegaStat
The instructions in this section begin by describing the entry of data into an Excel worksheet. Alternatively, the data
may be downloaded from this book’s website. The appropriate data file name is given at the top of each instruc-
tion block. Please refer to Appendix 1.1 for further information about entering data, saving data, and printing
results in Excel. Please refer to Appendix 1.2 for more information about using MegaStat.
Contingency table and chi-square test of indepen-
dence similar to Figure 12.2(a) on page 499 (data file:
Invest.xlsx):
Follow the instructions given in Appendix 2.2 for
using MegaStat to construct a crosstabulation
table of fund type versus level of customer
satisfaction.
After having made entries to specify the row and
column variables for the table, in the list of Output
Options place a checkmark in the “chi-square”
checkbox.
If desired, row, column, and cell percentages can
be obtained by placing checkmarks in the “%
of row,” “% of column,” and “% of total”
checkboxes in the list of Output Options. Here we
have elected to not request these percentages.
Click OK in the Crosstabulation dialog box.
The value of the chi-square statistic (=46.44) and
its related p-value (=0.000000002) are given below
the crosstabulation table.
bow01838_ch12_488-515.qxd 11/27/09 5:53 PM Page 511
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Appendix 12.2 Chi-Square Tests Using MegaStat 511

Appendix 12.2 ■ Chi-Square Tests Using MegaStat

The instructions in this section begin by describing the entry of data into an Excel worksheet. Alternatively, the data may be downloaded from this book’s website. The appropriate data file name is given at the top of each instruc- tion block. Please refer to Appendix 1.1 for further information about entering data, saving data, and printing results in Excel. Please refer to Appendix 1.2 for more information about using MegaStat.

Contingency table and chi-square test of indepen- dence similar to Figure 12.2(a) on page 499 (data file: Invest.xlsx):

• Follow the instructions given in Appendix 2.2 for

using MegaStat to construct a crosstabulation table of fund type versus level of customer satisfaction.

• After having made entries to specify the row and

column variables for the table, in the list of Output Options place a checkmark in the “chi-square” checkbox.

• If desired, row, column, and cell percentages can

be obtained by placing checkmarks in the “% of row,” “% of column,” and “% of total” checkboxes in the list of Output Options. Here we have elected to not request these percentages.

• Click OK in the Crosstabulation dialog box.

• The value of the chi-square statistic (=46.44) and

its related p -value (=0.000000002) are given below the crosstabulation table.

Chi-square goodness of fit test for the scanner panel data in Exercise 12.8 on page 496 (data file: ScanPan. xlsx):

  • Enter the scanner panel data in Exercise 12. (page 496) as shown in the screen with the number of purchases for each brand in column C and with the market share for each brand (expressed as a percentage) in column D. Note that the total number of purchases for all brands equals 19,115 (which is in cell C11).
  • In cell E4, type the cell formula =D4*19115 and press enter to compute the expected frequency for the Jiff—18 ounce brand/size combination. Copy this cell formula (by double-clicking the drag handle in the lower right corner of cell E4) to compute the expected frequencies for each of the other brands in cells E5 through E10.
  • Select^ Add-Ins : MegaStat : Chi-square/ Crosstab : Goodness of Fit Test.
  • In the “Goodness of Fit Test” dialog box, click in the “Observed values Input range” window and enter the range C4:C10. Enter this range by dragging with the mouse—the autoexpand feature cannot be used in the “Goodness of Fit Test” dialog box.
  • Click in the “Expected values Input range” win- dow, and enter the range E4 : E10. Again, enter this range by dragging with the mouse.
  • Click OK in the “Goodness of Fit Test” dialog box.

512 Chapter 12 Chi-Square Tests