We

are presents with the following information in which we are presumed to answer.

We should use chi square test program to come up with numerous hypothetical

conclusions.

The

Northeast region is operating the software sold 165 and the group with no

software sold 100, The Southeast region with software sold 200 and the group

with no software sold 125. The Central region

with software sold 175 and the group with no software sold 125. The West group

with software sold 180 and the group with no software sold 130.

Software

program is categorical variable which can have 2 possibilities either Yes, and

or No. this consider the cases whether the software is assigned or not

assigned. Performance is again a categorical variable which can have 2

possibilities either Improved or not improved.

Contingency Table is shown below.

Further calculations

With

Software

Without

Software

Row

Totals

Northeast

Region

165 (159.00)

0.23

100 (106.00)

0.34

265

Southeast Region

200 (195.00)

0.13

125 (130.00)

0.19

325

Central Region

175 (180.00)

0.14

125 (120.00)

0.21

300

West Region

180 (186.00)

0.19

130 (124.00)

0.29

310

Column

Total

720

480

1200

(Grand Total)

In my Chi-Square

Calculation, the compiled the data set in contingency table. Using the

Chi-Square method, the numbers calculate as expected, differences in all the

regions of the sales group sold. The significance level of operation is: 0.05. The

calculations gives the chi-square statistical figure of is 1.7176, the degree

of freedom =3, the probability, p-value is 0.633018. Accordingly, the final development

is not significant at p 0.5

Since P is not less than

?; hence it is reasonable the state to the VP of Sales at WidgeCorp that the

null hypothesis is accurate and should be accepted. And hence state that we

should take the other correlation of the Alternative Hypothesis.