It is desired to partition customers into similar groups on the basis of their demographic profile. Which data mining problem is
1 answer:
You might be interested in
We expect to lose $0.37 per lottery ticket
<u>Explanation:</u>
six winning numbers from = { 1, 2, 3, ....., 50}
So, the probability of winning:
The probability of losing would be:
P(loss) = 1 - P(win)
According to the question,
When we win, then we gain $10 million and lose the cost of the lottery ticket.
So,
$10,000,000 - 1 = $9,999,999
When we lose, then we lose the cost of the lottery ticket = $1
The expected value is the sum of the product of each possibility x with its probability P(x):
E(x) = ∑ xP(x)
Thus, we expect to lose $0.37 per lottery ticket
Answer: (b) -3.08
Explanation:
The relationship between the demand(q), price per unit product(p) and the disposable income,yd is given by the expression below;
q= 20ln(7yd-2p).
From the expression above, the marginal demand,
∂ q/∂ p is the differential of the equation of relationship between the demand, price and disposable income.
This involves considering the demand,q as the dependent variable and the price per unit product,p as the independent variable and the disposable income,yd is considered constant.
Therefore ,
∂ q/∂ p= (-40)÷(7yd-2p)
By substitution of
yd =$3000÷1000= $3
and p= $4
∂ q/∂ p= (-40)÷((7×$3)-(2×$4))
∂ q/∂ p= -40÷13= 3.08
Please see the attachment for knowledge on how ∂ q/∂ p was obtained.
