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Solve the following differential equation:
`"y"^2 - "x"^2 "dy"/"dx" = "xy""dy"/"dx"`
Concept: undefined >> undefined
Solve the following differential equation:
`"xy" "dy"/"dx" = "x"^2 + "2y"^2, "y"(1) = 0`
Concept: undefined >> undefined
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Solve the following differential equation:
x dx + 2y dx = 0, when x = 2, y = 1
Concept: undefined >> undefined
Solve the following differential equation:
`x^2. dy/dx = x^2 + xy + y^2`
Concept: undefined >> undefined
Solve the following differential equation:
(9x + 5y) dy + (15x + 11y)dx = 0
Concept: undefined >> undefined
Solve the following differential equation:
(x2 + 3xy + y2)dx - x2 dy = 0
Concept: undefined >> undefined
Solve the following differential equation:
(x2 – y2)dx + 2xy dy = 0
Concept: undefined >> undefined
Let p ∧ (q ∨ r) ≡ (p ∧ q) ∨ (p ∧ r). Then, this law is known as ______.
Concept: undefined >> undefined
Without using truth table, show that
p ↔ q ≡ (p ∧ q) ∨ (~p ∧ ~q)
Concept: undefined >> undefined
Without using truth table, show that
p ∧ [(~ p ∨ q) ∨ ~ q] ≡ p
Concept: undefined >> undefined
Without using truth table, show that
~ [(p ∧ q) → ~ q] ≡ p ∧ q
Concept: undefined >> undefined
Without using truth table, show that
~r → ~ (p ∧ q) ≡ [~ (q → r)] → ~ p
Concept: undefined >> undefined
Without using truth table, show that
(p ∨ q) → r ≡ (p → r) ∧ (q → r)
Concept: undefined >> undefined
Using the algebra of statement, prove that
[p ∧ (q ∨ r)] ∨ [~ r ∧ ~ q ∧ p] ≡ p
Concept: undefined >> undefined
Using the algebra of statement, prove that
(p ∧ q) ∨ (p ∧ ~ q) ∨ (~ p ∧ ~ q) ≡ (p ∨ ~ q)
Concept: undefined >> undefined
Using the algebra of statement, prove that (p ∨ q) ∧ (~ p ∨ ~ q) ≡ (p ∧ ~ q) ∨ (~ p ∧ q).
Concept: undefined >> undefined
For the following bivariate data obtain the equations of two regression lines:
| X | 1 | 2 | 3 | 4 | 5 |
| Y | 5 | 7 | 9 | 11 | 13 |
Concept: undefined >> undefined
From the data of 20 pairs of observations on X and Y, following results are obtained.
`barx` = 199, `bary` = 94,
`sum(x_i - barx)^2` = 1200, `sum(y_i - bary)^2` = 300,
`sum(x_i - bar x)(y_i - bar y)` = –250
Find:
- The line of regression of Y on X.
- The line of regression of X on Y.
- Correlation coefficient between X and Y.
Concept: undefined >> undefined
Given the following data, obtain a linear regression estimate of X for Y = 10, `bar x = 7.6, bar y = 14.8, sigma_x = 3.2, sigma_y = 16` and r = 0.7
Concept: undefined >> undefined
