Answer:
a) 0.0002
b) 0.0057
c) 0.0364
Step-by-step explanation:
Lets start by stating the probabilities of a person belonging to each policy:
Standard: 0.3
Preferred: 0.5
Ultra- Preferred: 0.2
The probability of person belonging to each policy AND dying in the next year:
Standard: 0.3 x 0.015 = 0.0045
Preferred: 0.5 x 0.002 = 0.001
Ultra- Preferred: 0.2 x 0.001 = 0.0002
a) The probability a ultra - preferred policy holder dies in the next year is 0.001. To find the probability of a person being both a ultra - preferred policy holder AND die in the next year is: 0.001 x 0.2= 0.0002
b) The probability is given by adding the probabilities calculated before :
0.0045 + 0.001 + 0.0002 = 0.0057
c) We use the results above again. This is 0.0002 / (0.001 + 0.0045). The answer comes out to be 0.0364
Answer:
5 Green earrings
Step-by-step explanation:
Given that:
Total amount held = $51
Cost per pair of green earrings = $9
One time shipping fee = $6
How many pairs of green earrings did grace purchase?
Let the number of green earrings purchased = g
Then,
$9*g + $6 = $51
$9g + $6 = $51
$9g = $51 - $6
$9g = $45
g = $45 / $9
g = 5
Hence, the number of green earrings purchased = 5
Answer:
B
Step-by-step explanation:
∠ BSR + ∠ TSB = ∠ TSR , substitute values
2x + 17 + 5x + 15 = 102 , that is
7x + 32 = 102 ( subtract 32 from both sides )
7x = 70 ( divide both sides by 7 )
x = 10 → B
Answer:
(f - g) (x)
Step-by-step explanation:
Since (x) is common between them, you can bring it out. for example,
f(x) = x +1
g(x) = 2x + 3
f(x) - g(x) = x + 1 - 2x + 3
= -x + 4
(f - g) (x) = x + 1 - 2x + 3
= -x + 4
Answer:
a
b
Step-by-step explanation:
From the question we are told that
The number of bootstrap samples is n = 1000
From the question we are told the confidence level is 95% , hence the level of significance is
=> 
Generally the percentage of values that must be chopped off from each tail for a 95% confidence interval is mathematically evaluated as
=>
Generally the number of the bootstrap sample that must be chopped off to produce a 95% confidence interval is
=> 
=>
