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MBA IT, Mater in Science and Technology
Devry
Jul-1996 - Jul-2000
Professor
Devry University
Mar-2010 - Oct-2016
1.Do men and women invest similarly? Construct confidence intervals for the differences in mean Capital Gains, Capital Losses and Dividends.
2. Do those who file singly and jointly have same investment results as those who file jointly??
Select, perform and interpret an appropriate test
Recommend a chi-square test of independence to determine if investment level is independent of gender.
Capital Gains |
Zero |
Greater than zero |
total |
Joint |
531 |
172 |
703 |
Single |
210 |
87 |
297 |
|
741 |
259 |
1000 |
Capital Losses |
Zero |
Greater than zero |
total |
Joint |
621 |
82 |
703 |
Single |
233 |
64 |
297 |
|
854 |
146 |
1000 |
Dividends |
Zero |
Greater than zero |
total |
Joint |
162 |
541 |
703 |
Single |
118 |
179 |
297 |
|
280 |
720 |
1000 |
.
In order to provide a chi-square test – the null and alternate hypothesis must be provided; additionally the chi square calculations need to be demonstrated; the decision regarding the null hypothesis must be presented – including rationale.
3.Compare differences in investment results for the other demographic variables, being careful to check assumptions and conditions.
Make suitable displays. Are there outliers to be concerned with?? Discuss.
Recommend a chi-square test of independence to determine if investment level is independent of each demographic variable; this is an example of the “some college” / “no college” demographic.
Capital Gains |
Zero |
Greater than zero |
total |
Some college |
556 |
174 |
730 |
No college |
187 |
83 |
270 |
|
743 |
259 |
1000 |
Capital Losses |
Zero |
Greater than zero |
total |
Some college |
620 |
110 |
730 |
No college |
235 |
35 |
270 |
|
855 |
145 |
1000 |
Dividends |
Zero |
Greater than zero |
total |
Some college |
178 |
552 |
730 |
No college |
103 |
167 |
270 |
|
281 |
719 |
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