Suppose (rounded to the nearest thousand) that the mean cost of a house is $152,000 with a standard deviation of $44,000 in Pittsburgh and that house prices are normally distributed.Between what two prices do the middle 95% of houses fall in Pittsburgh? Find the probability that a house costs less than $100,000. If you are in the market for one of the most expensive 10% of houses, what price range are you exploring?

Name: Suppose (rounded to the nearest thousand) that the mean cost of a hous
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Description: Suppose (rounded to the nearest thousand) that the mean cost of a house is $152,000 with a standard deviation of $44,000 in Pittsburgh and that house prices are normally distributed.Between what two prices do the middle 95% of houses fall in Pittsbur

Given Information: Population mean (u) = $ 152,000 Standard Deviation (σ) = $ 44,000 1. To find the…

Answered: Suppose (rounded to the nearest…

MATLAB: An Introduction with Applications

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Author:Amos Gilat

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Suppose (rounded to the nearest thousand) that the mean cost of a house is $152,000 with a standard deviation of $44,000 in Pittsburgh and that house prices are normally distributed.

1. Between what two prices do the middle 95% of houses fall in Pittsburgh?
Find the probability that a house costs less than $100,000.
If you are in the market for one of the most expensive 10% of houses, what price range are you exploring?

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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