The range is how much it spans in f(x), f(x) is a line, it has no max/min, so it's enough to substitute the least and greatest values of your domain:
f(-2) = -5, f(4)=7,
Range = [-5,7]
Answer:
B=2
Step-by-step explanation:
multiply 2 by 2=4 then write subtract 8 from both sides 4-8= -4
multiply 2 by 1=2 then write subtract 0 from both sides
2-0=2
To check
-4+8=4 2+0=2
4/2=2 and 2/2=1 MP=(2,1)
Answer: 22.5625
Step-by-step explanation: 4.75^2 squared is the same thing
Answer:
approximately Normal, mean 8.1, standard deviation 0.063.
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".
Let X the random variable weights of 8-ounce wedges of cheddar cheese produced at a dairy. We know from the problem that the distribution for the random variable X is given by:
We take a sample of n=10 . That represent the sample size.
What can we say about the shape of the distribution of the sample mean?
From the central limit theorem we know that the distribution for the sample mean is also normal and is given by:
approximately Normal, mean 8.1, standard deviation 0.063.