We Southeast Region 200 (195.00) [0.13] 125 (130.00)

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.

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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.

Author:

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