ormed decision, about which investment would be best for them. This study was to compare the performance of two funds in six different sectors. Its main purpose was to look at how statistics can best be suited to do this. The six different sectors were selected; two funds were selected from each. Sectors:1. Conservative 19881989199019911992199319941995199619971998C110.412.818.415.03.08.211.38.013.27.310.7C210.914.024.215.92.58.713.710.217.98.011.62. Secure 19881989199019911992199319941995199619971998S118.210.223.718.97.812.023.04.421.28.08.2S216.39.327.819.10.512.815.31.427.92.713.13. Moderate 19881989199019911992199319941995199619971998M114.510.029.723.211.616.019.70.829.57.67.5M221.914.427.217.66.415.728.24.527.66.64.54. Balanced 19881989199019911992199319941995199619971998B129.29.224.717.32.321.822.81.420.87.77.5B221.58.923.213.27.812.724.82.325.69.211.95. Ambitious 19881989199019911992199319941995199619971998A136.26.332.411.82.914.722.93.538.610.815.8A227.32.633.514.73.415.132.8-6.124.113.825.26. Aggressive 19881989199019911992199319941995199619971998G123.77.633.425.85.513.328.66.951.54.0-4.1G222.30.338.319.76.014.137.0-2.157.66.4-1.2METHODS The methods used were the average, range, and the standard deviation associated with each fund. Assuming that the distribution for each fund was normal, the z-tables were then used to calculate the percentage of time the return was above the designated return goal for each fund. RESULTS OF HOW USING STATISTICS CAN HELP BUILD FOR THE FUTURE.Importance of Saving For the Future The importance of saving early, is that the extra time allows your assets to build before they are needed. An example of this is an investment of $16,000.00 before the age of 27 properly managed with a 15 % return yearly, could net an individual approximately $750,000.00 at the retirement age of 62 years old. Whereas a 40 year old individual saving $2,000.00 a year properly managed with a 15 % return until the age of 6...
