Raymond B. answered 01/25/24
Math, microeconomics or criminal justice
.39251 for z= -1.24 to 0
.49683 for z= 0 to 2.73
add them together
.39261 + .49683 = .88944
= about .8894
use z tables or a z calculator
Tamera B.
asked 01/24/24Consider the following probability.
P(−1.24 ≤ z ≤ 2.73)
Let z be a random variable with a standard normal distribution. Find the indicated probability. (Round your answer to four decimal places.)
P(−1.24 ≤ z ≤ 2.73) =
Raymond B. answered 01/25/24
Math, microeconomics or criminal justice
.39251 for z= -1.24 to 0
.49683 for z= 0 to 2.73
add them together
.39261 + .49683 = .88944
= about .8894
use z tables or a z calculator
Hi Tamera,
This is our old friend: z= (x-mu)/sigma. Now, in a standard normal distribution, mean is 0 and standard deviation is 1, so we have our mu and sigma, and we were asked to find probability of a range between two x values. We need z-scores to do this, so look up the z table online. Since we need two z-values here, I will call the first z z1 and the second z2. Same with the x values.
z1 = x1 - mu / sigma
x1 = -1.24
mu=0
sigma=1
z1= -1.24
z2 = x2 -mu / sigma
z2 = (2.73 - 0) /1
z2 = 2.73
If you know the data is standard normal, you do not even need to do those calculations. You can assume x=z and go right to the z-table. But remember, z probabilities are less than, so:
P(z1 < -1.24) = 0.1075
P(z2 < 2.73) = 0.9968
Now, a <= b <= c implies the area between. To get that, we subtract:
P = 0.9968 - 0.1075 = 0.8893
I hope this helps. I noticed you have a few problems on here relating to the normal distribution. Contact me on Wyzant if you want to schedule a live tutoring session and we can run through some more examples.
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