Assume the random variable X is normally distributed with mean u = 50 and standard deviation o = 7. Compute the probability. Be sure to draw a normal curve with the areacorresponding to the probability shaded.P(35 ។KAssume the random variable X is normally distributed with mean µ = 50 and standard deviation o=7. Compute the probability. Be sure to draw a normal curve with the areacorresponding to the probability shaded.P(35< X<63)Click the icon to view a table of areas under the normal curve.Which of the following normal curves corresponds to P(35< X<63)?SOA.O B.355063QQGP(35

given data, normal distribution, μ=50σ=7p(35<X<63)=?

Answered: Assume the random variable X is…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 22PFA

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Assume the random variable X is normally distributed with mean u = 50 and standard deviation o = 7. Compute the probability. Be sure to draw a normal curve with the area corresponding to the probability shaded. P(35

។
K
Assume the random variable X is normally distributed with mean µ = 50 and standard deviation o=7. Compute the probability. Be sure to draw a normal curve with the area
corresponding to the probability shaded.
P(35< X<63)
Click the icon to view a table of areas under the normal curve.
Which of the following normal curves corresponds to P(35< X<63)?
SOA.
O B.
35
50
63
Q
Q
G
P(35<X<63) =
(Round to four decimal places as needed.)
O
i
35
50
63
Q
O C.
35
50 63
du
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5:56 PM
11/17/2022

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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