Suppose that the sitting back-to-knee length for a group of adults has a normal distribution with a mean of μ = 24 in. and a standard deviation of sigma equals σ = 1.1 in. These data are often used in the design of different seats, including aircraft seats, train seats, theater seats, and classroom seats. Instead of using 0.05 for identifying significant values, use the criteria that a value x is significantly high if P(x or greater)≤0.01 and a value is significantly low if P(x or less)≤0.01. Find the back-to-knee lengths separating significant values from those that are not significant. Using these criteria, is a back-to-knee length of 26.3 in. significantly high?
Find the back-to-knee lengths separating significant values from those that are not significant.
Back-to-knee lengths greater than ? in. and less than ? in. are not significant, and values outside that range are considered significant.
(Round to one decimal place as needed.)
Using these criteria, is a back-to-knee length of 26.3 in. significantly high?
A back-to-knee length of 26.3 in. ?(is/is not) significantly high because it is ?(outside/inside) the range of values that are not considered significant.
for 0.01 value at both ends ; critical z=2.33
back-to-knee lengths separating significant values from those that are not significant
=mean-/+ z*std deviation =24-/+2.33*1.1=21.4 ; 26.6
Back-to-knee lengths greater than 21.4 in. and less than 26.6 in. are not significant, and values outside that range are considered significant.
A back-to-knee length of 26.3 in is not significantly high because it is inside the range of values that are not considered significant.
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