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Heights of 10 year olds. Heights of 10 year olds, regardless of gender, closely follow a...

Heights of 10 year olds. Heights of 10 year olds, regardless of gender, closely follow a normal distribution with mean 55 inches and standard deviation 6 inches. Round all answers to two decimal places.

1. What is the probability that a randomly chosen 10 year old is shorter than 67 inches?

2. What is the probability that a randomly chosen 10 year old is between 60 and 63 inches?

3. If the tallest 15% of the class is considered very short, what is the height cutoff for very short?

4. What is the height of a 10 year old who is at the 65 th percentile?

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Answer #1

Given,

\mu = 55, \sigma = 6

We convert this to standard normal as

P( X < x) = P( Z < x - \mu / \sigma )

a )

P( X < 67) = P( Z < 67 - 55 / 6)

= P( Z < 2)

= 0.9772

P( X < 67) = 0.98

b)

P( 60 < X < 63) = P( X < 63) - P( X < 60)

= P( Z < 63 - 55 / 6) - P( Z < 60 - 55 / 6)

= P( Z < 1.3333) - P( Z < 0.8333)

= 0.9088 - 0.7977

= 0.1111

P( 60 < X < 63) = 0.11

3)

We have to calculate x such that P( X > x) = 0.15

That is

P( X < x) = 0.85

P( Z < x - \mu / \sigma ) = 0.85

From the Z table, z-score for the probability of 0.85 is 1.0365

x - \mu / \sigma = 1.0365

Put the values of \mu and \sigma in above expression and solve for x

x - 55 / 6 = 1.0365

x = 61.22

4)

pth perecentile = \mu + Z \sigma , Where Z is critical value at give confidence level.

so,

65th percentile = 55 + 0.3853 * 6

= 57.31

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