Engineers want to design seats in commercial aircraft so that they are wide enough to fit 99​% of all males.​ (Accommodating 100% of males would require very wide seats that would be much too​ expensive.) Men have hip breadths that are normally distributed with a mean of 14.4  in. and a standard deviation of 0.8 in. Find P99. That​ is, find the hip breadth for men that separates the smallest 99​% from the largest 1​%.

(Same question just could not fit all into one photo)

Engineers must consider the breadths of male heads when designing helmets. The company researchers have determined that the population of potential clientele have head breadths that are normally distributed with a mean of 5.7-in and a standard deviation of 1.1-in.In what range would you expect to find the middle 50% of most head breadths? Between and .If you were to draw samples of size 46 from this population, in what range would you expect to find the middle 50% of most averages for the breadths of male heads in the sample? Between and .Enter your answers as numbers. Your answers should be accurate to 2 decimal places.

Engineers want to design seats in commercial aircraft so that they are wide enough to fit 99% of all males. (Accommodating 100% of males would require very wide seats that would be much too expensive.) Men have hip breadths that are normally distributed with a mean of 14.8 in. and a standard deviaof 1.1 in. Find Pog. That is, find the hip breadth for men that separates the smallest 99% from the largest 196. The hip breadth for men that separates the smallest 99% from the largest 1% is Peg-. in. (Round to one decimal place as needed.)

Engineers must consider the breadths of male heads when designing helmets. The company researchers have determined that the population of potential clientele have head breadths that are normally distributed with a mean of 6.1-in and a standard deviation of 1.2-in. In what range would you expect to find the middle 98% of most head breadths? Between and If you were to draw samples of size 44 from this population, in what range would you expect to find the middle 98% of most averages for the breadths of male heads in the sample? Between and Enter your answers as numbers. Your answers should be accurate to 2 decimal places

Engineers want to design seats in commercial aircraft so that they are wide enough to fit 99% of all males. (Accommodating 100% of males would require very wide seats that would be much too expensive.) Men have hip breadths that are normally distributed with a mean of 14.9 in. and a standard deviation of 1.1 in. Find Pg9. That is, find the hip breadth for men that separates the smallest 99% from the largest 1%. The hip breadth for men that separates the smallest 99% from the largest 1% is Pgg in. %3D (Round to one decimal place as needed.)

Engineers must consider the breadths of male heads when designing helmets. The company researchers have determined that the population of potential clientele have head breadths that are normally distributed with a mean of 5.8-in and a standard deviation of 0.8-in. In what range would you expect to find the middle 95% of most head breadths? Between and If you were to draw samples of size 42 from this population, in what range would you expect to find the middle 95% of most averages for the breadths of male heads in the sample? Between and Enter your answers as numbers. Your answers should be accurate to 2 decimal places.

Willow Road and Arroyo Seco are schools in different states. The heights of students at Willow Road have a population mean of 50.4 inches and a standard deviation of 6 inches. The heights of students at Arroyo Seco have a population mean of 54.3 inches with a standard deviation of 2.3 inches. For each school, the distribution of the heights of students is clearly bell-shaped.Elsa is a student at Willow Road and is 67 inches tall. Jane is a student at Arroyo Seco and is 59 inches tall.

Suppose that the mean and standard deviation for vertical jump scores are 40 and 6 cm respectively.  A York student jumps 52 cm on the vertical score.  Translate the student’s jump into a z-score.

If the standard deviation of a sample is 4.3 for 28 data values, what would the standard deviation be for the population from which the sample was drawn?