
a.
To obtain: The percent of healthy adults who have resting pulse rates that are below 50 beats per minute.
a.

Answer to Problem 7.20TY
The percent of healthy adults who have resting pulse rates that are below 50 beats per minute is 1.25%.
Explanation of Solution
Given info:
The resting pulse rates for healthy adults follow a
Calculation:
Define the random variable x as resting pulse rates for healthy adults.
The formula for the standardized score is
The healthy adults who have resting pulse rates that are below 50 beats per minute is denoted as
Subtract the mean and then divide by the standard deviation to transform the value of x into standard normal z. The standardized score is
The percent of healthy adults who have resting pulse rates that are below 50 beats per minute is obtained by finding the area to left of –2.24.
Use Table A: Standard normal cumulative proportions to find the area to the left of –2.24.
Procedure:
- Locate –2.2 in the left column of the A-2 Table.
- Obtain the value in the corresponding row below 0.04.
That is,
Thus, the percent of healthy adults who have resting pulse rates that are below 50 beats per minute is 1.25%.
b.
To obtain: The percent of healthy adults who have resting pulse rates that exceed 85 beats per minute.
b.

Answer to Problem 7.20TY
The percent of healthy adults who have resting pulse rates that exceed 85 beats per minute is 3.01%.
Explanation of Solution
Calculation:
The formula for the standardized score is
The healthy adults who have resting pulse rates that exceed 85 beats per minute is denoted as
Subtract the mean and then divide by the standard deviation to transform the value of x into standard normal z.
Where, standardized score
The percent of healthy adults who have resting pulse rates that exceed 85 beats per minute is obtained by finding the area to right of 1.88.
But, the Table A: Standard normal cumulative proportions apply only for cumulative areas from the left.
Use Table A: Standard normal cumulative proportions to find the area to the left of 1.88.
Procedure:
- Locate 1.8 in the left column of the A-2 Table.
- Obtain the value in the corresponding row below 0.08.
That is,
The area to the right of 1.88 is
Thus, the percent of healthy adults who have resting pulse rates that exceed 85 beats per minute is 3.01%.
c.
To obtain: The specification limits for the central 80% of resting pulse rates.
c.

Answer to Problem 7.20TY
The specification limits for the central 80% of resting pulse rates lie between 58.1 beats per minute and 79.9 beats per minute.
Explanation of Solution
Calculation:
The central 80% represents the area of 0.80 in between the values of x.
The remaining area from central 80% is 20%
The area 20% represents the area of 10% to the left of lower limit and 10% to right of upper limit.
For lower limit:
Use Table A: Standard normal cumulative proportions to find z score.
Procedure:
- Locate the nearest value of 0.10 in the body of the Table A-2.
- Move left until the first column and note the value as –1.2.
- Move upward until the top row is reached and note the value as 0.08.
Thus, the z score is –1.28.
The formula to find the lower limit is
Substitute 69 for μ, 8.5 for σ, and –1.28 for z
Thus, the lower limit is 58.1.
For upper limit:
Here, the Table A: Standard normal cumulative proportion applies only for cumulative areas from the left. Thus,
Procedure:
- Locate the nearest value of 0.90 in the body of the Table A-2.
- Move left until the first column and note the value as 1.2.
- Move upward until the top row is reached and note the value as 0.08.
Thus, the z score is 1.28.
The formula to find the upper limit is
Substitute 69 for μ, 8.5 for σ, and 1.28 for z
Thus, the upper limit is 79.9.
Hence, the specification limits for the central 80% of resting pulse rates are (58.1, 79.9).
Want to see more full solutions like this?
Chapter 7 Solutions
BASIC PRAC OF STATISTICS+LAUNCHPAD+REE
- I need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forwardI need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forwardI need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forward
- I need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forwardI need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forward3. Consider the following regression model: Yi Bo+B1x1 + = ···· + ßpxip + Єi, i = 1, . . ., n, where are i.i.d. ~ N (0,0²). (i) Give the MLE of ẞ and σ², where ẞ = (Bo, B₁,..., Bp)T. (ii) Derive explicitly the expressions of AIC and BIC for the above linear regression model, based on their general formulae.arrow_forward
- How does the width of prediction intervals for ARMA(p,q) models change as the forecast horizon increases? Grows to infinity at a square root rate Depends on the model parameters Converges to a fixed value Grows to infinity at a linear ratearrow_forwardConsider the AR(3) model X₁ = 0.6Xt-1 − 0.4Xt-2 +0.1Xt-3. What is the value of the PACF at lag 2? 0.6 Not enough information None of these values 0.1 -0.4 이arrow_forwardSuppose you are gambling on a roulette wheel. Each time the wheel is spun, the result is one of the outcomes 0, 1, and so on through 36. Of these outcomes, 18 are red, 18 are black, and 1 is green. On each spin you bet $5 that a red outcome will occur and $1 that the green outcome will occur. If red occurs, you win a net $4. (You win $10 from red and nothing from green.) If green occurs, you win a net $24. (You win $30 from green and nothing from red.) If black occurs, you lose everything you bet for a loss of $6. a. Use simulation to generate 1,000 plays from this strategy. Each play should indicate the net amount won or lost. Then, based on these outcomes, calculate a 95% confidence interval for the total net amount won or lost from 1,000 plays of the game. (Round your answers to two decimal places and if your answer is negative value, enter "minus" sign.) I worked out the Upper Limit, but I can't seem to arrive at the correct answer for the Lower Limit. What is the Lower Limit?…arrow_forward
- Let us suppose we have some article reported on a study of potential sources of injury to equine veterinarians conducted at a university veterinary hospital. Forces on the hand were measured for several common activities that veterinarians engage in when examining or treating horses. We will consider the forces on the hands for two tasks, lifting and using ultrasound. Assume that both sample sizes are 6, the sample mean force for lifting was 6.2 pounds with standard deviation 1.5 pounds, and the sample mean force for using ultrasound was 6.4 pounds with standard deviation 0.3 pounds. Assume that the standard deviations are known. Suppose that you wanted to detect a true difference in mean force of 0.25 pounds on the hands for these two activities. Under the null hypothesis, 40 0. What level of type II error would you recommend here? = Round your answer to four decimal places (e.g. 98.7654). Use α = 0.05. β = 0.0594 What sample size would be required? Assume the sample sizes are to be…arrow_forwardConsider the hypothesis test Ho: 0 s² = = 4.5; s² = 2.3. Use a = 0.01. = σ against H₁: 6 > σ2. Suppose that the sample sizes are n₁ = 20 and 2 = 8, and that (a) Test the hypothesis. Round your answers to two decimal places (e.g. 98.76). The test statistic is fo = 1.96 The critical value is f = 6.18 Conclusion: fail to reject the null hypothesis at a = 0.01. (b) Construct the confidence interval on 02/2/622 which can be used to test the hypothesis: (Round your answer to two decimal places (e.g. 98.76).) 035arrow_forwardUsing the method of sections need help solving this please explain im stuckarrow_forward
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman





