In: Statistics and Probability
6.2.19-E Suppose that the sitting back-to-knee length for a group of adults has a normal distribution with a mean of mu equals 24.1 in. and a standard deviation of sigma equals 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)less than or equals0.01 and a value is significantly low if P(x or less)less than or equals0.01. 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 26.2 in. significantly high? Find the back-to-knee lengths separating significant values from those that are not significant. Back-to-knee lengths greater than nothing in. and less than nothing in. are not significant, and values outside that range are considered significant.
Solution :
Let X be a random variable which represents the sitting back-to-knee length for a group of adults.
Given that, X ~ N(24.1, 1.1²)
μ = 24.1 inches and σ = 1.1 inches
Let a back-to-knee length that separates the significant low length with the on significant lengths is k inches.
Hence, P(X ≤ k) = 0.01
We know that, if X ~ N(μ, σ²) then,
Using "qnorm" function of R we get, P(Z ≤ -2.326) = 0.01
Comparing, P(Z ≤ -2.326) = 0.01 and (1) we get,
Hence, a back-to-knee length less than or equal to 21.54 inches will be considered as significantly low.
Let a back-to-knee length that separates the significant high length with the non significant lengths is n inches.
Hence, P(X ≥ n) = 0.01
We know that, if X ~ N(μ, σ²) then,
Using "qnorm" function of R we get, P(Z ≥ 2.326) = 0.01
Comparing, P(Z ≥ 2.326) = 0.01 and (2) we get,
Hence, a back-to-knee length greater than or equal to 26.66 inches will be considered as significantly high.
The back-to-knee length of 26.2 inches is not significantly high.
Back-to-knee lengths greater than 21.54 inches and less than 26.6- inches are not significant, and values outside that range are considered significant.
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