Supporting info: (a) If x is N(μ, σ), then x̄ is N(μ, σ/√(n)). (c) Find P(x̄ < 22.62). Use the formula: z = (x̄-μ)/(σ/√(n)). (d) Find P(x̄ = 24.78).
Supporting info: (a) If x is N(μ, σ), then x̄ is N(μ, σ/√(n)). (c) Find P(x̄ < 22.62). Use the formula: z = (x̄-μ)/(σ/√(n)). (d) Find P(x̄ = 24.78).
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Supporting info:
(a) If x is N(μ, σ), then x̄ is N(μ, σ/√(n)).
(c) Find P(x̄ < 22.62). Use the formula: z = (x̄-μ)/(σ/√(n)).
(d) Find P(x̄ = 24.78).

Transcribed Image Text:As part of a science project, a large school district in
southern California asked all eighth grade students to
measure the length of their right foot at the start of the
school year. According to the results, foot length is
approximately Normally distributed, with a mean of
23.4 cm and standard deviation of 1.7 cm. Suppose
that 25 eighth graders are chosen at random from this
population. Fill in the following blanks with the correct
options:
(a) The distribution of the mean foot length in
samples of 25 students is approximately
Normal with a mean 23.4 cm or unknown and
standard deviation 0.34 cm, 0.068 cm, 1.7 cm,
or unknown.
(b) Assuming that the population mean is 23.4 cm,
imagine that we repeat taking all possible
samples of size 25 from the population, then
only about 1.1 out of 10, 100, or 1,000 sample
means will have values as small as 22.62 or
23.4 cm or even smaller. If the population mean
is indeed 23.4 cm, then we would not expect a
sample mean as small as 22.62 or 23.4 to
occur if we only select one single sample.
(c) The probability that the sample mean foot
length is less than 22.62 cm is 0.0045, 0.0110,
0.0262, or 0.9890.
(d) The probability that the sample mean foot
length is exactly 24.78 cm is 0, 0.1514, 0.2578,
or 0.8877.
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