Answer:
3 standard deviations
from the mean is 6 pounds to 18 pounds.
Step-by-step explanation:
The above question is solved using empirical rule
99.7% of data falls within 3 standard deviations from the mean - between μ - 3σ and μ + 3σ
From the above question
μ = 12 pounds
σ = 2 pounds
Hence:.
3 standard deviations from the mean is calculated as
μ - 3σ
[12 - 3(2)] pounds
=( 12 - 6) pounds
= 6 pounds
μ + 3σ
[12 + 3(2)] pounds
=( 12 + 6) pounds
= 18 pounds
Hence,3 standard deviations
from the mean is 6 pounds to 18 pounds.
on:
Marcus sold 8 cups of lemonade and 3 bags of peanuts. 0.75 times 8 equals $6.00. 0.35 times 3 equals $1.05. $6.00+ $1.05= $7.05. Your welcome dude
Answer:
1.8
Step-by-step explanation:
cuz
if 1L is equal to 0.26
then 7×0.26
= 1.8
hope it helps
A: .44 (not repeating)
b: also .444 (repeating)
c: .41666666667 (repeating, I think)
d: .875 (not repeating)
So if x= number of trees, and y= rental applications, the owner wants to see if increasing x will increase y. The correlation coefficient is between -1 and 1. If the number of trees really does have a positive impact on rental applications, the correlation coefficient would be close to 1. If there is absolutely no relationship, the coefficient would be near zero. If planting trees causes a DECLINE in rental applications, the coefficient would be close to -1.
