1. Find the approximated integral value using Weddle's rule
| x | f(x) |
| 7.47 | 1.93 |
| 7.48 | 1.95 |
| 7.49 | 1.98 |
| 7.50 | 2.01 |
| 7.51 | 2.03 |
| 7.52 | 2.06 |
| 7.53 | 2.09 |
Solution:The value of table for `x` and `f(x)`
| `x` | `f(x)` |
| `x_0=7.47` | `f(x_(0))=1.93` |
| `x_1=7.48` | `f(x_(1))=1.95` |
| `x_2=7.49` | `f(x_(2))=1.98` |
| `x_3=7.5` | `f(x_(3))=2.01` |
| `x_4=7.51` | `f(x_(4))=2.03` |
| `x_5=7.52` | `f(x_(5))=2.06` |
| `x_6=7.53` | `f(x_(6))=2.09` |
Method-1:Using Weddle's Rule
`int f(x) dx=(3Delta x )/10 [(f(x_(0))+5f(x_(1))+f(x_(2))+6f(x_(3))+f(x_(4))+5f(x_(5))+f(x_(6)))+(f(x_(6))+5f(x_(7))+f(x_(8))+6f(x_(9))+f(x_(10))+5f(x_(11))+f(x_(12)))+...]`
`int f(x) dx=(3Delta x )/10 [(f(x_(0))+5f(x_(1))+f(x_(2))+6f(x_(3))+f(x_(4))+5f(x_(5))+f(x_(6)))]`
`f(x_(0))=1.93`
`5f(x_(1))=5*1.95=9.75`
`f(x_(2))=1.98`
`6f(x_(3))=6*2.01=12.06`
`f(x_(4))=2.03`
`5f(x_(5))=5*2.06=10.3`
`f(x_(6))=2.09`
`int f(x) dx=(3xx0.01)/10*[(1.93+9.75+1.98+12.06+2.0310.3+2.09)]`
`=(3xx0.01)/10*(40.14)`
`=0.1204`
Solution by Weddle's Rule is `0.1204`
Method-2:Using Weddle's Rule
`int f(x) dx=(3Delta x )/10 [(f(x_(0))+5f(x_(1))+f(x_(2))+6f(x_(3))+f(x_(4))+5f(x_(5))+f(x_(6)))+(f(x_(6))+5f(x_(7))+f(x_(8))+6f(x_(9))+f(x_(10))+5f(x_(11))+f(x_(12)))+...]`
`int f(x) dx=(3Delta x )/10 [(f(x_(0))+5f(x_(1))+f(x_(2))+6f(x_(3))+f(x_(4))+5f(x_(5))+f(x_(6)))]`
`=(3xx0.01)/10 [(1.93 + 5xx1.95 + 1.98 + 6xx2.01 + 2.03 + 5xx2.06 + 2.09)]`
`=(3xx0.01)/10 [40.14]`
`=0.1204`
Solution by Weddle's Rule is `0.1204`