
Applying the Concepts 6–4
Mountain Climbing Safety
Assume one of your favorite activities is mountain climbing. When you go mountain climbing, you have several safety devices to keep you from falling. You notice that attached to one of your safety hooks is a reliability rating of 97%. You estimate that throughout the next year you will be using this device about 100 times. Answer the following questions.
1. Does a reliability rating of 97% mean that there is a 97% chance that the device will not fail any of the 100 times?
2. What is the
3. What is the complement of this
4. Can this be considered a binomial experiment?
5. Can you use the binomial probability formula? Why or why not?
6. Find the probability of at least two failures.
7. Can you use a
8. Is correction for continuity needed?
9. How much safer would it be to use a second safety hook independent of the first?
See page 368 for the answers.
1.

To check: If reliability of 97% means that there is a 97% chance that the device will not fail any of the 100 items.
Answer to Problem 1AC
No.
Explanation of Solution
Given info:
Reliability rate is 97%.
Number of times device used is 100.
Calculations:
The random variable X denotes the number of times device fails out of 100 times.
Since reliability rate 97% means that, on average the device will not fail for 97% of time. Therefore, reliability of 97% doesn’t means that there is a 97% chance that the device will not fail any of the 100 items.
2.

The probability of at least one failure.
Answer to Problem 1AC
Probability of at least one failure is 0.95.
Explanation of Solution
Given info:
Reliability rate is 97%.
Number of times device used is 100.
Calculation:
The random variable X denotes the number of times device fails out of 100 times.
Therefore, probability of at least one failure is equal to 1 – Probability of zero failures.
Therefore, the probability of at least one failure is 0.95.
3.

The complement of the event at least one failure.
Answer to Problem 1AC
Event of zero times failure of safety hook out of 100 trials.
Explanation of Solution
Given info:
Reliability rate is 97%.
Number of times device used is 100.
Justification:
The random variable X denotes the number of times device fails out of 100 times.
If A denotes the event that the safety hook fails at least once. Then the complement of the event is the event that the safety hook does not fails out of 100 times used.
4.

The given experiment is binomial experiment or not.
Answer to Problem 1AC
Given experiment is binomial experiment.
Explanation of Solution
Given info:
Reliability rate is 97%.
Number of times device used is 100.
Justification:
The random variable X denotes the number of times device fails out of 100 times and there are two possible outcomes device working and device not working. Also, the reliability rate of safety hook in each time its use is constant i.e 0.97, therefore given experiment is binomial experiment of number of times the safety hooks fails out of 100 times with probability that safety hook fails in one trial is 0.03. So, given experiment is binomial experiment.
5.

Whether the binomial formula can be used or not.
Answer to Problem 1AC
Yes, the binomial formula can be used.
Explanation of Solution
Justification:
The probability that the safety hook fails x number of times out 100 with probability that it fails in one trial being 0.03 is
6.

The probability of at least two failures.
Answer to Problem 1AC
The probability of at least two failures is 0.81.
Explanation of Solution
Justification:
Calculation:
Probability of at least 2 failures is,
Therefore, the probability of at least 2 failures of safety hook is 0.81.
7.

Whether normal distribution can be used to accurate approximate the binomial distribution.
Answer to Problem 1AC
No, normal distribution cannot be used to accurate approximate the binomial distribution.
Explanation of Solution
Justification:
Conditions:
Here, np is less than 5.
Hence, normal distribution cannot be used to accurately approximate the binomial distribution.
8.

Correction for continuity is needed.
Answer to Problem 1AC
No, continuity correction is not needed.
Explanation of Solution
Justification:
From part (7), the normal approximation is not applied. Hence, the continuity correction is not required.
9.

How much safer it would be to use a second safety hook independent of the first.
Answer to Problem 1AC
Probability of failure after second hook is 0.0009.
Explanation of Solution
Given Info:
Reliability rate is 97%.
Number of times device used is 100.
Second safety hook is used independent of first safety hook.
Calculation:
Reliability rate of first safety hook is 97%.
Thus,
Since, second safety hook is used independent of first safety hook, Therefore probability of failure if both safety hooks are used is
Therefore, probability of failure if both the safety hooks are used independently is 0.0009.
Want to see more full solutions like this?
Chapter 6 Solutions
Elementary Statistics: A Step By Step Approach
- Hi, I need to sort out where I went wrong. So, please us the data attached and run four separate regressions, each using the Recruiters rating as the dependent variable and GMAT, Accept Rate, Salary, and Enrollment, respectively, as a single independent variable. Interpret this equation. Round your answers to four decimal places, if necessary. If your answer is negative number, enter "minus" sign. Equation for GMAT: Ŷ = _______ + _______ GMAT Equation for Accept Rate: Ŷ = _______ + _______ Accept Rate Equation for Salary: Ŷ = _______ + _______ Salary Equation for Enrollment: Ŷ = _______ + _______ Enrollmentarrow_forwardQuestion 21 of 28 (1 point) | Question Attempt: 5 of Unlimited Dorothy ✔ ✓ 12 ✓ 13 ✓ 14 ✓ 15 ✓ 16 ✓ 17 ✓ 18 ✓ 19 ✓ 20 = 21 22 > How many apps? According to a website, the mean number of apps on a smartphone in the United States is 82. Assume the number of apps is normally distributed with mean 82 and standard deviation 30. Part 1 of 2 (a) What proportion of phones have more than 47 apps? Round the answer to four decimal places. The proportion of phones that have more than 47 apps is 0.8783 Part: 1/2 Try again kip Part ی E Recheck == == @ W D 80 F3 151 E R C レ Q FA 975 % T B F5 10 の 000 园 Save For Later Submit Assignment © 2025 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center | Accessibility Y V& U H J N * 8 M I K O V F10 P = F11 F12 . darrow_forwardYou are provided with data that includes all 50 states of the United States. Your task is to draw a sample of: 20 States using Random Sampling (2 points: 1 for random number generation; 1 for random sample) 10 States using Systematic Sampling (4 points: 1 for random numbers generation; 1 for generating random sample different from the previous answer; 1 for correct K value calculation table; 1 for correct sample drawn by using systematic sampling) (For systematic sampling, do not use the original data directly. Instead, first randomize the data, and then use the randomized dataset to draw your sample. Furthermore, do not use the random list previously generated, instead, generate a new random sample for this part. For more details, please see the snapshot provided at the end.) You are provided with data that includes all 50 states of the United States. Your task is to draw a sample of: o 20 States using Random Sampling (2 points: 1 for random number generation; 1 for random sample) o…arrow_forward
- Course Home ✓ Do Homework - Practice Ques ✓ My Uploads | bartleby + mylab.pearson.com/Student/PlayerHomework.aspx?homeworkId=688589738&questionId=5&flushed=false&cid=8110079¢erwin=yes Online SP 2025 STA 2023-009 Yin = Homework: Practice Questions Exam 3 Question list * Question 3 * Question 4 ○ Question 5 K Concluir atualização: Ava Pearl 04/02/25 9:28 AM HW Score: 71.11%, 12.09 of 17 points ○ Points: 0 of 1 Save Listed in the accompanying table are weights (kg) of randomly selected U.S. Army male personnel measured in 1988 (from "ANSUR I 1988") and different weights (kg) of randomly selected U.S. Army male personnel measured in 2012 (from "ANSUR II 2012"). Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Complete parts (a) and (b). Click the icon to view the ANSUR data. a. Use a 0.05 significance level to test the claim that the mean weight of the 1988…arrow_forwardsolving problem 1arrow_forwardselect bmw stock. you can assume the price of the stockarrow_forward
- This problem is based on the fundamental option pricing formula for the continuous-time model developed in class, namely the value at time 0 of an option with maturity T and payoff F is given by: We consider the two options below: Fo= -rT = e Eq[F]. 1 A. An option with which you must buy a share of stock at expiration T = 1 for strike price K = So. B. An option with which you must buy a share of stock at expiration T = 1 for strike price K given by T K = T St dt. (Note that both options can have negative payoffs.) We use the continuous-time Black- Scholes model to price these options. Assume that the interest rate on the money market is r. (a) Using the fundamental option pricing formula, find the price of option A. (Hint: use the martingale properties developed in the lectures for the stock price process in order to calculate the expectations.) (b) Using the fundamental option pricing formula, find the price of option B. (c) Assuming the interest rate is very small (r ~0), use Taylor…arrow_forwardDiscuss and explain in the picturearrow_forwardBob and Teresa each collect their own samples to test the same hypothesis. Bob’s p-value turns out to be 0.05, and Teresa’s turns out to be 0.01. Why don’t Bob and Teresa get the same p-values? Who has stronger evidence against the null hypothesis: Bob or Teresa?arrow_forward
- Review a classmate's Main Post. 1. State if you agree or disagree with the choices made for additional analysis that can be done beyond the frequency table. 2. Choose a measure of central tendency (mean, median, mode) that you would like to compute with the data beyond the frequency table. Complete either a or b below. a. Explain how that analysis can help you understand the data better. b. If you are currently unable to do that analysis, what do you think you could do to make it possible? If you do not think you can do anything, explain why it is not possible.arrow_forward0|0|0|0 - Consider the time series X₁ and Y₁ = (I – B)² (I – B³)Xt. What transformations were performed on Xt to obtain Yt? seasonal difference of order 2 simple difference of order 5 seasonal difference of order 1 seasonal difference of order 5 simple difference of order 2arrow_forwardCalculate the 90% confidence interval for the population mean difference using the data in the attached image. I need to see where I went wrong.arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillBig Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
- Linear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage LearningHolt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGAL




