Answer:
0.8809
Step-by-step explanation:
Given that:
The population proportion p = 4% = 4/100 = 0.04
Sample mean x = 16
The sample size n = 300
The sample proportion
= 16/300
= 0.0533
∴
From the z tables;
= 0.8809
OR
Let X be the random variation that follows a normal distribution;
Then;
population mean = n × p
population mean = 300 × 0.04
population mean = 12
The standard deviation
The standard deviation
The standard deviation
The standard deviation
The z -score can be computed as:
z = 1.18
The required probability is:
P(X ≤ 10) = Pr (z ≤ 1.18)
= 0.8809
To find the number of part-time employees in California, set up a proportion and solve for x.
To find the number of part-time employees statewide, we can set up a proportion using the given information. We know that there are 25 full-time employees for every 4 part-time employees. So, we can write the proportion as:
25 full-time employees / 4 part-time employees = 250,000 full-time employees / x part-time employees
Cross-multiplying, we get:
25x = 4 * 250,000
Simplifying, we have:
25x = 1,000,000
Dividing both sides by 25, we find:
x = 40,000
Therefore, there are 40,000 part-time employees statewide in California.
#SPJ2
Answer:
3
Step-by-step explanation:no
Answer:
9
Step-by-step explanation:
Expected number of defective is given as :
N x P = np
Where = number of the sample drawn from the production lot
P= percentage of bulbs In The lot which are defective
N = 15
P = 60% = 0.60
So when we do the multiplication,
We have:
NP = 15x0.60
= 9
So in conclusion the expected value of defective bulbs in the sample is 9.
~
=> Property used = distributive property.
91.
Answer:
873
Step-by-step explanation:
so the equation is: 5x+1
sum is:
we have 6( 5×1+1) to 91 (5×18+1)
so we have 18 terms
then:
Answer:
3x^2 - 32x - 48
Step-by-step explanation:
3x^2-36x+4x-48
3x^2 - 32x -48