Suppose, household color TVs are replaced at an average age of μ = 8.2 years after purchase, and the (95% of data) range was from 5.6 to 10.8 years. Thus, the range was 10.8 − 5.6 = 5.2 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 ≈ |
|
≈ |
|
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 8.2 years with a
standard deviation of 1.3 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 14% of the TVs under guarantee. For how
long should the guarantee be made (rounded to the nearest tenth of
a year)?
yrs.
approximate the standard deviation =5.2/4 =1.3
b)
| probability =P(X>5)=P(Z>(5-8.2)/1.3)=P(Z>-2.46)=1-P(Z<-2.46)=1-0.0069=0.9931 | ||||
c)
| probability =P(X<10)=(Z<(10-8.2)/1.3)=P(Z<1.38)=0.9162 |
d)
| for 14th percentile critical value of z= | -1.08 | ||
| therefore corresponding value=mean+z*std deviation= | 6.8 years | ||
Suppose, household color TVs are replaced at an average age of μ = 8.2 years after...
Thickness measurements of ancient prehistoric Native American
pot shards discovered in a Hopi village are approximately normally
distributed, with a mean of 4.6 millimeters (mm) and a standard
deviation of 1.0 mm. For a randomly found shard, find the following
probabilities. (Round your answers to four decimal places.)
(a) the thickness is less than 3.0 mm
(b) the thickness is more than 7.0 mm
(c) the thickness is between 3.0 mm and 7.0 mm
Need Help? Read It...
Question 3 1 points avene The average age of Stokes County school board members over the last 40 years has been 46, but members have ranged from 29 to 67. Use the range rule of thumb to estimate the standard deviation of the members' ages. 95 24 19 473
Suppose a survey of 2,718 medical school interns found their average age to be 28.0 years, with standard deviation 3.7 years. (a) The distribution of ages is not normal. Will the distribution of sample mean, x, have an approximate normal shape? Yes No (b) If we standardize with sample standard deviation s instead of population standard deviation o, will the standardized sample mean follow an approximate z distribution? Yes No (c) Report an approximate 95% confidence interval for population mean...
9.4.87 Question Help Suppose the mean height of women age 20 years or older in a certain country is 62.9 inches. One hundred randomly selected women in a certain city had a mean height of 63 o inches. At the 1% significance l ol, do the data provide sufficient evidenco to co ude that the mean height of o en n tho oty diff from he n al an? Assume that the population standard deviation of the heights of women...
Suppose the mean heigh of women age 20 years or older n a ce ar country is 62.2 inches. One hundred random selected women in a certa city had a mean height of 5 T inches. A he % significance provide sufficient evidence to conclude that the mean height of women in the city differs from the national mean? Assume that the population standard deviation of the heights of women in the city is 3.7 inches. e data Set up...