Question

# Suppose, household color TVs are replaced at an average age of μ = 7.4 years after...

Suppose, household color TVs are replaced at an average age of μ = 7.4 years after purchase, and the (95% of data) range was from 5.0 to 9.8 years. Thus, the range was 9.8 − 5.0 = 4.8 years. Let x be the age (in years) at which a color TV is replaced. Assume that x has a distribution that is approximately normal.

(a) The empirical rule indicates that for a symmetric and bell-shaped distribution, approximately 95% of the data lies within two standard deviations of the mean. Therefore, a 95% range of data values extending from μ − 2σ to μ + 2σ is often used for "commonly occurring" data values. Note that the interval from μ − 2σ to μ + 2σ is 4σ in length. This leads to a "rule of thumb" for estimating the standard deviation from a 95% range of data values.Estimating the standard deviation

For a symmetric, bell-shaped distribution,

standard deviation ≈
 range 4
 high value − low value 4

where it is estimated that about 95% of the commonly occurring data values fall into this range.Use this "rule of thumb" to approximate the standard deviation of x values, where x is the age (in years) at which a color TV is replaced. (Round your answer to one decimal place.)
yrs

(b) What is the probability that someone will keep a color TV more than 5 years before replacement? (Round your answer to four decimal places.)

(c) What is the probability that someone will keep a color TV fewer than 10 years before replacement? (Round your answer to four decimal places.)

(d) Assume that the average life of a color TV is 7.4 years with a standard deviation of 1.2 years before it breaks. Suppose that a company guarantees color TVs and will replace a TV that breaks while under guarantee with a new one. However, the company does not want to replace more than 13% of the TVs under guarantee. For how long should the guarantee be made (rounded to the nearest tenth of a year)?
yrs

a) standard deviation ≈ =4.8/4 =1.2

b)

 for normal distribution z score =(X-μ)/σ here mean=       μ= 7.4 std deviation   =σ= 1.2000

probability that someone will keep a color TV more than 5 years before replacement:

 probability = P(X>5) = P(Z>-2)= 1-P(Z<-2)= 1-0.0228= 0.9772

c)

probability that someone will keep a color TV fewer than 10 years before replacement :

 probability = P(X<10) = P(Z<2.17)= 0.985

d)

 for 13th percentile critical value of z= -1.13 therefore corresponding value=mean+z*std deviation= 6.0

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