Answer: D) 0.733.
Step-by-step explanation:
Let C denotes the number of employees having college degree and S denote the number of employees are single.
We are given ,
Total = 600 , n(C)=400 , n(S)=100 , n(C∩S)=60
Then,

Now, the probability that an employee of the company is single or has a college degree is

Hence, the probability that an employee of the company is single or has a college degree is 0.733
Answer:
45F+800=C
Step-by-step explanation:
F+32=9C/5
5F+160=9C
45F+800=C
Answer:
x = 5/2
Step-by-step explanation:
log4(x^2+5x)-log8(x^3)=1/log3(4)
log(x^2 + 5 x) / log(4) - log(x^3) / log(8) = log(3) / log(4)
log(x (x+5))/log(4) - log(x^3) / log(8) = log(3) / log(4)
(3 log(x (x+5)) - 2 log(x^3)) / log(64) = log(3) / log(4)
3 log(x (x+5)) - 2 log(x^3) = 3 log(3)
log((3 x)/(x+5))=0
x=5/2
Using the z-distribution, as we are working with a proportion, the 95% confidence interval for the proportion of consumers who would buy the product at it's proposed price is (0.3016, 0.3830).
<h3>What is a confidence interval of proportions?</h3>
A confidence interval of proportions is given by:

In which:
is the sample proportion.
In this problem, we have a 95% confidence level, hence
, z is the value of Z that has a p-value of
, so the critical value is z = 1.96.
179 out of 523 members indicated they would buy the new product at the proposed price, hence:

Then the bounds of the interval are found as follows:


More can be learned about the z-distribution at brainly.com/question/25890103
Answer:
-2
Step-by-step explanation: