In: Statistics and Probability
Suppose that the sitting back-to-knee length for a group of adults has a normal distribution with a mean of mu equals 23.4 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 25.7 in. significantly high?
Suppose that the sitting back-to-knee length for a group of adults has a normal distribution with a mean of mu equals 23.4 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 25.7 in. significantly high?
Z values for top and bottom 0.01 level or 1% level is 2.326 and -2.326
The lower value = mean+z*sd = 23.4-2.326*1.1 = 20.8414
The upper value = mean+z*sd = 23.4+2.326*1.1 = 25.9586
The two lengths separating significant values are ( 20.84 and 25.96)
The value 25.7 is lower than the high value 25.96.
Therefore back-to-knee length of 25.7 in. is not significantly high.