| Enter the data in the blue highlighted area and the results will show in the yellow highlighted area. |
|
| Data |
|
| 1 |
| Mean |
3.7500 |
|
| 1 |
| Median |
3.0000 |
|
| 2 |
| Mode |
1.0000 |
2 |
ERROR:#N/A |
ERROR:#N/A |
ERROR:#N/A |
(Returns more than one mode) |
|
| 2 |
| Sample Variance |
7.9286 |
|
| 4 |
| Sample Standard Deviation |
2.8158 |
|
| 5 |
| Population Variance |
6.9375 |
|
| 6 |
| Population Standard Deviation |
2.6339 |
|
|
|
| To find boundary for outliers |
|
| 9 |
| Range |
8.0000 |
|
|
|
| Count (n) |
8.0000 |
|
|
|
| 1.5 IQR |
6 |
|
|
|
| Min |
1.0000 |
|
|
| Lower boundary |
Q1-1.5IQR |
-4.5000 |
|
|
|
| Quartile 1 |
1.5000 |
|
|
| Upper boundary |
Q3+1.5IQR |
11.5000 |
|
|
|
| Median |
3.0000 |
|
|
| Identify outliers in your given data set. If the data is not between the lower and upper boundary then it is an outlier |
|
|
|
| Quartile3 |
5.5000 |
|
|
|
| Max |
9.0000 |
|
|
|
| Interquartile Range (IQR) |
4.0000 |
week3.xlsx
