Question

In: Statistics and Probability

Suppose that the sitting​ back-to-knee length for a group of adults has a normal distribution with...

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?

Solutions

Expert Solution

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.


Related Solutions

Suppose that the sitting​ back-to-knee length for a group of adults has a normal distribution with...
Suppose that the sitting​ back-to-knee length for a group of adults has a normal distribution with a mean of mu equals 22.7 in. and a standard deviation of sigma equals 1.2 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...
Suppose that the sitting​ back-to-knee length for a group of adults has a normal distribution with...
Suppose that the sitting​ back-to-knee length for a group of adults has a normal distribution with a mean of μ=24.0 in. and a standard deviation of 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...
6.2.19-E Suppose that the sitting​ back-to-knee length for a group of adults has a normal distribution...
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...
Suppose the length in cm of a male soccer player's foot follows a Normal distribution with...
Suppose the length in cm of a male soccer player's foot follows a Normal distribution with mean 31 and variance 25. Suppose the length in cm of a female soccer player's foot follows a Normal distribution with mean 26 and variance 16. A male and female soccer player are selected at random. What is the probability the female player has a longer foot than the male player? Question 13 options: 0.05 0.22 0.29 0.78 0.95 Independently of one another, a...
A manufacturer produces a commodity where the length of the commodity has approximately normal distribution with...
A manufacturer produces a commodity where the length of the commodity has approximately normal distribution with a mean of 7.3 inches and standard deviation of 1.2 inches. If a sample of 34 items are chosen at random, what is the probability the sample's mean length is greater than 6.9 inches? Round answer to four decimal places. to find answer
The length of a construction part manufactured by a supplier follows a normal distribution with an...
The length of a construction part manufactured by a supplier follows a normal distribution with an unknown σ. The design length is 35.00 centimeters. Seven parts were randomly selected from the warehouse and measured. The actual lengths in centimeters were as follows: Part 1: 34.46 Part 2: 37.17 Part 3: 38.03 Part 4: 39.91 Part 5: 34.86 Part 6: 35.41 Part 7: 40.43 (a)[7] At α = 0.04, test to see if a typical manufactured part would conform to the...
Suppose x has a normal distribution with a mean of 78 and a variance of 484.00....
Suppose x has a normal distribution with a mean of 78 and a variance of 484.00. If a sample of 19 were randomly drawn from the population, find the probability of      for each of the following situations. a) less than 79: probability =   b) greater than 85: probability =   c) in between 68 and 84: probability =   d) in between 77 and 91: probability =   Note: Do NOT input probability responses as percentages; e.g., do NOT input 0.9194 as...
Suppose x has a normal distribution with a mean of 79 and a variance of 441.00....
Suppose x has a normal distribution with a mean of 79 and a variance of 441.00. If a sample of 15 were randomly drawn from the population, find the probability of   mu hat   for each of the following situations. a) less than 77: probability = b) greater than 83: probability = c) in between 65 and 76: probability = d) in between 76 and 94: probability =
The level of magnesium in the blood of healthy young adults follows a normal distribution, with...
The level of magnesium in the blood of healthy young adults follows a normal distribution, with mean μ = 10 milligrams per deciliter and standard deviation σ = 0.4. A clinic measures the magnesium of 25 healthy pregnant young women at their first visit for prenatal care. The sample mean of these 25 measurements is 9.6. Is this evidence that the mean magnesium level in the population from which these women come is less than 10? To answer this, test...
1. The weights of adults (in kg) follows a normal distribution with a mean of 67...
1. The weights of adults (in kg) follows a normal distribution with a mean of 67 and a standard deviation of 11. For a random sample of 64 adults, find the probability that the mean weight of the sample is at most 63 kg. 2. Suppose that 50% of politicians are lawyers. Find the probability that of a random sample of 400 politicians, at least 47% are lawyers.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT