<span>Defective rate can be expected
to keep an eye on a Poisson distribution. Mean is equal to 800(0.02) = 16,
Variance is 16, and so standard deviation is 4.
X = 800(0.04) = 32, Using normal approximation of the Poisson distribution Z1 =
(32-16)/4 = 4.
P(greater than 4%) = P(Z>4) = 1 – 0.999968 = 0.000032, which implies that
having such a defective rate is extremely unlikely.</span>
<span>If the defective rate in the
random sample is 4 percent then it is very likely that the assembly line
produces more than 2% defective rate now.</span>
Not the best, teachers are so annoying lol. Hope you are doing well though, don’t give up❤️
Add 10 to both sides. X is 2. A.
Answer:
<em>
x−y
=
9
, x
+
y
=
6</em>
<em>x
+
y
=
4 , x
−
y
=
2</em>
<em>x
+
2
y
=
4 , x
−
y
=
−
3 </em>
<em>try out these examples?</em>
<em />
<em />
Answer:
x=2
Step-by-step explanation:
To solve this, you must isolate x. To do this, divide both sides by 425 because that is what x is being multiplied by (and dividing is its opposite). Then, you get the answer, x=2.
