Answer:
Binomial distribution requires all of the following to be satisfied:
1. size of experiment (N=27) is known.
2. each trial of experiment is Bernoulli trial (i.e. either fail or pass)
3. probability (p=0.14) remains constant through trials.
4. trials are independent, and random.
Binomial distribution can be used as a close approximation, with the usual assumption that a sample of 27 in thousands of stock is representative of the population., and is given by the probability of x successes (defective).
P(x)=C(N,x)*p^x*(1-p)^(n-x)
where N=27, p=0.14, and C(N,x) is the number of combinations of x items out of N.
So we need the probability of <em>at most one defective</em>, which is
P(0)+P(1)
= C(27,0)*0.14^0*(0.86)^(27) + C(27,1)*0.14^1*(0.86^26)
=1*1*0.0170 + 27*0.14*0.0198
=0.0170+0.0749
=0.0919
Answer:
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Step-by-step explanation:
If you plug in the x and y, you get
7(1)(3)
7 x 1 x 3 = 21, so the answer is 21
A. 4x - y = 8
y = -8 y-int (0,-8)
x = 2. x-imt (2,0)
b. 6x - y = -3
x = -1/2 (-1/2, 0) x int
y = 3 : (0,3) y-intercept
c. x = -5 x-int (-5,0)
y -int (0,25) y = 25
Your discount is $17.60. You have to pay $70.4. All you have to do is multiply 88 by 0.2
