Answer:
no clue
Step-by-step explanation:
figure it out by yourself
Answer:
The probability that the sample mean would differ from the population mean by greater than 0.8 kg is P=0.3843.
Step-by-step explanation:
We have a population with mean 60 kg and a variance of 100 kg.
We take a sample of n=118 individuals and we want to calculate the probability that the sample mean will differ more than 0.8 from the population mean.
This can be calculated using the properties of the sampling distribution, and calculating the z-score taking into account the sample size.
The sampling distribution mean is equal to the population mean.
The standard deviation of the sampling distribution is equal to:
We have to calculate the probability P(|Xs|>0.8). The z-scores for this can be calculated as:
Then, we have:
Answer:
( x - 1) ( 2x + 3)
Step-by-step explanation:
It's actually the other way round.
2x^2- + x - 3
( 2x^2 - 2x) + (3x-3)
2x ( x-1 ) + 3( x-1)
( x - 1)(2x+3)
Its the other way around
HOPE IT HELPED
Answer:
go by 5's
Step-by-step explanation:
5
5
5
5
and so on.
Answer: look at the picture and I don’t know how to solve for b but I can do h
Step-by-step explanation: hope this help :)