| Enter the data in the blue highlighted area and the results will show in the yellow highlighted area. |
|
| Data |
|
| 1 |
| Mean |
3.5000 |
|
| 2 |
| Median |
3.5000 |
|
| 3 |
| Mode |
ERROR:#N/A |
ERROR:#N/A |
ERROR:#N/A |
ERROR:#N/A |
ERROR:#N/A |
(Returns more than one mode) |
|
| 4 |
| Sample Variance |
3.5000 |
|
| 5 |
| Sample Standard Deviation |
1.8708 |
|
| 6 |
| Population Variance |
2.9167 |
|
|
|
| Population Standard Deviation |
1.7078 |
|
|
|
| To find boundary for outliers |
|
|
|
| Range |
5.0000 |
|
|
|
| Count (n) |
6.0000 |
|
|
|
| 1.5 IQR |
4.5 |
|
|
|
| Min |
1.0000 |
|
|
| Lower boundary |
Q1-1.5IQR |
-2.5000 |
|
|
|
| Quartile 1 |
2.0000 |
|
|
| Upper boundary |
Q3+1.5IQR |
9.5000 |
|
|
|
| Median |
3.5000 |
|
|
| Identify outliers in your given data set. If the data is not between the lower and upper boundary then it is an outlier |
|
|
|
| Quartile3 |
5.0000 |
|
|
|
| Max |
6.0000 |
|
|
|
| Interquartile Range (IQR) |
3.0000 |
abeakzo
Week_3_Descriptives_MATH225N.xlsx
