Table 3: 95% Confidence Interval for 'return per $1000'
return in $ per thousand
|
|
|
Sample Mean
|
40.65
|
Standard Error
|
1.445395
|
Sample Standard Deviation
|
14.45395
|
Sample Variance
|
208.9167
|
Significance level
|
0.05
|
Confidence Coefficient
|
0.95
|
Margin of error
|
2.867977
|
Point estimate
|
40.65
|
|
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These intervals imply that at 95% confidence, the average of return expected to range between 37.782 and 43.518 thousand dollars.
Test the claim the return per $1000 is above $30
This claim is tested using One-sample T-test, at 0.05 significance level.
Hypothesis:
Null hypothesis (H0): µ = 30
Alternate hypothesis (HA): µ > 30
One Sample t-test
t-Test: Two-Sample Assuming Equal Variances
|
|
return in $ per thousand
|
Claim test
|
Mean
|
40.65
|
30
|
Variance
|
208.9166667
|
0
|
Observations
|
100
|
100
|
Pooled Variance
|
104.4583333
|
|
Hypothesized Mean Difference
|
0
|
|
df
|
198
|
|
t Stat
|
7.368228132
|
|
P(T<=t) one-tail
|
2.28898E-12
|
|
t Critical one-tail
|
1.652585784
|
|
P(T<=t) two-tail
|
4.57796E-12
|
|
t Critical two-tail
|
1.972017478
|
|
A one-sample t-test was conducted on the return on investments to evaluate whether the mean was significantly different from 30, the claim mean return on investment. The sample mean of 40.65 (SD = 14.45) was significantly different from 30, t (99) = 7.368, p = 0.000, the 95% confidence interval for the difference in return on investment ranged from 7.782 to 13.518. We then conclude that, the mean return on investment is significantly greater than 30 (in thousand dollars).
Section 5: Advice to the New Employees at the XYZ Company
Basing my arguments on the findings, I would like to advice the new employees not to look back when it comes to investing. Results have shown that on average, the returns on investment are by far greater than $30,000. This should make the new employees to really think about investing as early as they join company XYZ. My other advice would go to the female employees whom research has shown that they tend to fear investing, I would encourage them follow the male footsteps and increase their investment amounts in order to get good returns.
Section 6: Conclusions and Recommendations for Further Research.
This study concludes that there is relationship between gender and amount invested by the investors. In particular, the study concluded that male investors are more likely to invest more money as compared to the female investors. Study also showed that the return on investments is significantly greater than $30,000. This shows that good returns are “harvested” from investing.
The study recommends that risks associated with investments should be minimized in order to encourage more women to invest since research showed that women were not very proactive in investing as compared to the men. The study goes ahead to recommend further that policies aimed at increasing confidence among the women in investing should be rolled out and be implemented since women with low investment confidence tend to have high risk aversion as compared to the men.
For the future research, this study recommends that in future research should be done to identify that different genders consider when making investment decisions. This could further explain the reason as to why females are more reluctant to invest.
Section 7: Reference list
Arano, K., Parker, C., & Terry, R. (2010). Gender-based risk aversion and retirement asset allocation. Economic Inquiry, 48(1), 147-155.
Barber, B. M., & Odean, T. (2001). Boys Will be Boys: Gender, Overconfidence, and Common Stock Investment. Quarterly Journal of Economics, 116(1), 261-292.
Barberis, N., & Thaler, R. (2003). A survey of behavioral finance. Handbook of the Economics of Finance, Elsevier Science, 1051-121.
Graham, J. F., Stendardi , J., & Myers, J. K. (2002). Gender differences in investment strategies: An information processing perspective. International Journal of Bank Marketing, 20(1), 17-26.
Gudmunson, C., & Danes, S. (2011). Family financial socialization: Theory and Critical Review. Journal of Family Economic Issues, 1(32), 644-667.