Answer:
4
Step-by-step explanation:
<span>Hope this helps: C. Convenience sampling</span>
Answer: 249 m^2
Step-by-step explanation:
Answer:
135 onions
Step-by-step explanation:
bc
7 1/2 = 15/2
15/2 x 3 = 45/2
45/2 = 22.5
bc its only 1 of 6 pieces, you have to multiply 22.5 by 6
22.6 x 6 = 135
Answer:
a) The approximate probability that more than 25 chips are defective is 0.1075.
b) The approximate probability of having between 20 and 30 defecitve chips is 0.44.
Step-by-step explanation:
Lets call X the total amount of defective chips. X has Binomial distribution with parameters n=1000, p =0.02. Using the Central Limit Theorem, we can compute approximate probabilities for X using a normal variable with equal mean and standard deviation.
The mean of X is np = 1000*0.2 = 20, and the standard deviation is √np(1-p) = √(20*0.98) = 4.427
We will work with a random variable Y with parameters μ=20, σ=4.427. We will take the standarization of Y, W, given by

The values of the cummmulative distribution function of the standard normal random variable W, which we will denote
, can be found in the attached file. Now we can compute both probabilities. In order to avoid trouble with integer values, we will correct Y from continuity.
a)

Hence the approximate probability that more than 25 chips are defective is 0.1075.
b)

As a result, the approximate probability of having between 20 and 30 defecitve chips is 0.44.