| Population Mean: 5,531,441.41 | | | Population Standard Deviation: 3,192,799.02 |
| Sample 1 | Sample 2 | Sample 3 | Sample 4 | Sample 5 | Sample 6 | Sample 7 | Sample 8 | Sample 9 | Sample 10 |
| 3,699,000 | 3,800,000 | 3,900,000 | 3,995,000 | 4,200,000 | 4,490,000 | 4,675,000 | 4,950,000 | 5,900,000 | 8,450,000 |
| 3,700,000 | 3,850,000 | 3,900,000 | 3,995,000 | 4,250,000 | 4,490,000 | 4,749,000 | 4,950,000 | 5,900,000 | 8,795,000 |
| 3,700,000 | 3,850,000 | 3,900,000 | 3,997,000 | 4,250,000 | 4,498,000 | 4,855,000 | 4,990,000 | 5,900,000 | 9,000,000 |
| 3,745,000 | 3,850,000 | 3,919,115 | 3,999,000 | 4,250,000 | 4,499,000 | 4,859,000 | 4,995,000 | 5,900,000 | 9,300,000 |
| 3,750,000 | 3,850,000 | 3,975,000 | 3,999,000 | 4,295,000 | 4,500,000 | 4,875,000 | 4,999,970 | 6,300,000 | 13,495,000 |
| 3,750,000 | 3,870,000 | 3,995,000 | 3,999,000 | 4,295,000 | 4,500,000 | 4,895,000 | 4,999,999 | 6,495,000 | 13,500,000 |
| 3,750,000 | 3,870,000 | 3,995,000 | 3,999,500 | 4,295,000 | 4,569,000 | 4,895,000 | 5,250,000 | 6,750,000 | 15,000,000 |
| 3,750,000 | 3,885,000 | 3,995,000 | 3,999,998 | 4,299,000 | 4,575,000 | 4,900,000 | 5,250,000 | 6,998,000 | 16,950,000 |
| 3,795,000 | 3,895,000 | 3,995,000 | 4,000,000 | 4,370,000 | 4,650,000 | 4,900,000 | 5,495,000 | 7,250,000 | 17,900,000 |
| 3,795,000 | 3,895,000 | 3,995,000 | 4,195,000 | 4,488,000 | 4,650,000 | 4,950,000 | 5,500,000 | 8,000,000 | 18,000,000 |
| | | | | | | | | | 18,750,000 |
| Sample Means: |
| 3,743,400 | 3,861,500 | 3,956,912 | 4,017,850 | 4,299,200 | 4,542,100 | 4,855,300 | 5,137,997 | 6,539,300 | 13,558,182 |
| Sample Standard Deviations: |
| 35340.2508951667 | 28387.2036899257 | 45614.5626143669 | 62272.7837855351 | 80148.1960703629 | 64864.7310434055 | 81871.2403716959 | 219777.300618629 | 713954.877192296 | 4084327.52893746 |
| The means of the samples are not all equal or around the same mean as the population. This is because the sample grouple are sorted from lowest to highest price. |
| The Standard Deviation for the samples are lower than the populations. This is due to the listings in the samples being closer from each other. |
| According to the formula σ = σ/√n = σ/√10 = σ/3.16 the standard deviation of sample mean is lower. 50.625 lower. The computed σ does agree with the formula |
| 68% of values are between 2483852.1823 to 8418496.0177 |
| 95% of Values are between -483469.7354 to 11385817.9354 |
| 97.7% of values are between -3450791.6532 to 14353139.8532 |
iwatle
qnt_351_week_3_team.xlsx
