Company W is testing a sales software. Its sales
force of 500 people is divided into four regions: Northeast, Southeast,
Central, and West. Each sales person is expected to sell the same amount of
products. During the last 3 months, only half of the sales representatives in
each region were given the software program to help them manage their contacts.
The Northeast using the software sold 165 and the group with no software sold
100, The Southeast with software sold 200 and the group with no software sold
125. The Central groups 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. Using this data calculate the
Chi Square statistic.
The VP of Sales at WidgeCorp, who is comfortable
with statistics, wants to know the possible null and alternative hypotheses for
a nonparametric test on this data using the chi-square distribution. A
nonparametric test is used on data that are qualitative or categorical, such as
gender, age group, region, and color. It is used when it does not make sense to
look at the mean of such variables. (You can refer to this article for further
information.)
Company W is testing a sales software. Its sales
force of 500 people is divided into four regions: Northeast, Southeast,
Central, and West. Each sales person is expected to sell the same amount of
products. During the last 3 months, only half of the sales representatives in
each region were given the software program to help them manage their contacts.
The Northeast using the software sold 165 and the group with no software sold
100, The Southeast with software sold 200 and the group with no software sold
125. The Central groups 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. Using this data calculate the
Chi Square statistic.The VP of Sales at WidgeCorp, who is comfortable
with statistics, wants to know the possible null and alternative hypotheses for
a nonparametric test on this data using the chi-square distribution. A
nonparametric test is used on data that are qualitative or categorical, such as
gender, age group, region, and color. It is used when it does not make sense to
look at the mean of such variables. (You can refer to this article for further
information.)
