3((q*r)-p)
..................
Answer:
7
Step-by-step explanation:
Data of # posts made:
1, 1, 2, 2, 3, 5, 5, 6, 7, 7, 7, 8, 8, 9, 9, 9, 9, 10
Since we want to find the median, we find the middle number which is 7. The median is 7.
Answer:
[0.875;0.925]
Step-by-step explanation:
Hello!
You have a random sample of n= 400 from a binomial population with x= 358 success.
Your variable is distributed X~Bi(n;ρ)
Since the sample is large enough you can apply the Central Limit Teorem and approximate the distribution of the sample proportion to normal
^ρ≈N(ρ;(ρ(1-ρ))/n)
And the standarization is
Z= ^ρ-ρ ≈N(0;1)
√(ρ(1-ρ)/n)
The formula to estimate the population proportion with a Confidence Interval is
[^ρ ±
*√(^ρ(1-^ρ)/n)]
The sample proportion is calculated with the following formula:
^ρ= x/n = 358/400 = 0.895 ≅ 0.90
And the Z-value is
≅ 1.65
[0.90 ± 1.65 * √((0.90*0.10)/400)]
[0.875;0.925]
I hope you have a SUPER day!
When given the points (x1,y1) and (x2,y2)
slope=(y2-y1)/(x2-x1)
we have
(3,0) and (3,-2)
(x,y)
x1=3
y1=0
x2=3
y2=-2
slope=(-2-0)/(3-3)=-2/0=undefined since you caon't divide by zero
answer is D
F(-4) = 1
4f(-4) = 4
The point of interest is (-4, 4).