Housing prices in a small town are normally distributed with a mean of $141,000 and a standard deviation of $7,000. Use the empirical rule to complete the following statement.  Approximately 95% of housing prices are between a low price of $_____________ and a high price of $ ___________

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Housing prices in a small town are normally distributed with a mean of $141,000 and a standard deviation of $7,000. Use the empirical rule to complete the following statement. 

Approximately 95% of housing prices are between a low price of $_____________
and a high price of $ ___________
.
 
 
 
Table 4.2.1: Normal distributions: Common functions.
Function
Description
Function syntax
name
NORM.S.DIST Returns the probability that a z-score is at or below a given value.
NORM.S.DIST(2, cumulative)
NORM.S.INV Returns the z-score that corresponds to a given probability.
NORM.S.INV(probability)
Returns the probability that an observation is æ or less given the mean
and standard deviation.
NORM.DIST(x, mean, standard_dev,
cumulative)
NORM.DIST
Returns the x-value that corresponds to a probability given the mean
and standard deviation.
NORM.INV(probability, mean,
standard_dev)
NORM.INV
Transcribed Image Text:Table 4.2.1: Normal distributions: Common functions. Function Description Function syntax name NORM.S.DIST Returns the probability that a z-score is at or below a given value. NORM.S.DIST(2, cumulative) NORM.S.INV Returns the z-score that corresponds to a given probability. NORM.S.INV(probability) Returns the probability that an observation is æ or less given the mean and standard deviation. NORM.DIST(x, mean, standard_dev, cumulative) NORM.DIST Returns the x-value that corresponds to a probability given the mean and standard deviation. NORM.INV(probability, mean, standard_dev) NORM.INV
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