Question: question 20 The average time spent sleeping (in hours) for a group of medical residents at a hospital can be approximated by a normal distribution,
question 20
| The average time spent sleeping (in hours) for a group of medical residents at a hospital can be approximated by a normal distribution, as shown in the graph to the right. Answer parts (a) and (b) below. | 234567891011 SleepingTimesof MedicalResidents =6.4hours =1.3hour |
(a) What is the shortest time spent sleeping that would still place a resident in the top 5% of sleeping times? Residents who get at least____
hours of sleep are in the top 5% of sleeping times.(Round to two decimal places as needed.)
(b) Between what two values does the middle 50% of the sleep times lie? The middle 50% of sleep times lies between ____
hours on the low end and
_______ hours on the high end.(Round to two decimal places as needed.)
question 21
The mean length of a human pregnancy is
270
days, with a standard deviation of
10
days. Use the empirical rule to determine the percentage of women whose pregnancies are between
260
and
280
days. (Assume the data set has a bell-shaped distribution.)
question 23
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city.
| Height,x | 775 | 619 | 519 | 508 | 491 | 474 | (a) x=502 feet | (b) x=644 feet | |
|---|---|---|---|---|---|---|---|---|---|
| Stories, y | 53 | 47 | 44 | 43 | 38 | 36 | (c) x=310 feet | (d) x=734 feet |
a.Find the regression equation
b. graph it.
c. Predict the value of y for x=502.
d.Predict the value of y for
x=644.
e. Predict the value of y for
x=310
f. Predict the value of y for
x=734.
Step by Step Solution
There are 3 Steps involved in it
Get step-by-step solutions from verified subject matter experts
