Answer: b
Step-by-step explanation:
Answer:
The probability of getting a sample with 80% satisfied customers or less is 0.0125.
Step-by-step explanation:
We are given that the results of 1000 simulations, each simulating a sample of 80 customers, assuming there are 90 percent satisfied customers.
Let
= <u><em>sample proportion of satisfied customers</em></u>
The z-score probability distribution for the sample proportion is given by;
Z =
~ N(0,1)
where, p = population proportion of satisfied customers = 90%
n = sample of customers = 80
Now, the probability of getting a sample with 80% satisfied customers or less is given by = P(
80%)
P(
80%) = P(
) = P(Z
-2.24) = 1 - P(Z < 2.24)
= 1 - 0.9875 = <u>0.0125</u>
The above probability is calculated by looking at the value of x = 2.24 in the z table which has an area of 0.9875.
Answer: -5
Step-by-step explanation:
Can you show the paper more? I can't see what I need to know in order to solve it...
Answer:
The scale factor is 1/3
Step-by-step explanation:
I got this answer by dividing 7 by 21, 5 by 15, and 9 by 27.
7/21 = 1/3
5/15 = 1/3
9/27 = 1/3
If this answer is correct, please make me Brainliest!