Of the following, which group of constraints represents the feasible region given below?
To determine the correct constraints, analyze the feasible region depicted in the graph:
1. Line 1: \( x + 2y = 76 \) The region above this line is shaded, indicating the constraint: \[ x + 2y \geq 76. \] 2. Line 2: \( 2x + y = 104 \) The region below this line is shaded, indicating the constraint: \[ 2x + y \leq 104. \] 3. Non-negativity constraints: Since the shaded region is in the first quadrant: \[ x \geq 0 \quad {and} \quad y \geq 0. \] Thus, the group of constraints representing the feasible region is: \[ x + 2y \geq 76, \, 2x + y \leq 104, \, x \geq 0, \, y \geq 0. \]
Final Answer: \( \boxed{{(C)}} \)
List-I | List-II |
(A) Absolute maximum value | (I) 3 |
(B) Absolute minimum value | (II) 0 |
(C) Point of maxima | (III) -5 |
(D) Point of minima | (IV) 4 |
In number theory, it is often important to find factors of an integer \( N \). The number \( N \) has two trivial factors, namely 1 and \( N \). Any other factor, if it exists, is called a non-trivial factor of \( N \). Naresh has plotted a graph of some constraints (linear inequations) with points \( A(0, 50) \), \( B(20, 40) \), \( C(50, 100) \), \( D(0, 200) \), and \( E(100, 0) \). This graph is constructed using three non-trivial constraints and two trivial constraints. One of the non-trivial constraints is \( x + 2y \geq 100 \).
Based on the above information, answer the following questions:
On her birthday, Prema decides to donate some money to children of an orphanage home.
If there are 8 children less, everyone gets ₹ 10 more. However, if there are 16 children more, everyone gets ₹ 10 less. Let the number of children in the orphanage home be \( x \) and the amount to be donated to each child be \( y \).
Based on the above information, answer the following questions:
Let \( X \) denote the number of hours a Class 12 student studies during a randomly selected school day. The probability that \( X \) can take the values \( x_i \), for an unknown constant \( k \):
\[ P(X = x_i) = \begin{cases} 0.1, & {if } x_i = 0, \\ kx_i, & {if } x_i = 1 { or } 2, \\ k(5 - x_i), & {if } x_i = 3 { or } 4. \end{cases} \]