Probability & Statistics with R for Engineers and Scientists
1st Edition
ISBN: 9780321852991
Author: Michael Akritas
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Question
Chapter 1.5, Problem 2E
To determine
Construct a histogram of the Old Faithful data on waiting times before eruptions.
Construct a stem and leaf plot similar to the histogram.
Comment whether the shape of the stem and leaf plot is similar to that of the histogram.
Color the histogram, superimpose a colored smooth histogram, and add a histogram title using R.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
they take?
8.1.13 WP GO Tutorial An article in the Journal of Agricultural
Science ["The Use of Residual Maximum Likelihood to Model
Grain Quality Characteristics of Wheat with Variety, Climatic
and Nitrogen Fertilizer Effects” (1997, Vol. 128, pp. 135–142)]
investigated means of wheat grain crude protein content (CP) and
Hagberg falling number (HFN) surveyed in the United Kingdom.
The analysis used a variety of nitrogen fertilizer applications (kg
N/ha), temperature (°C), and total monthly rainfall (mm). The
following data below describe temperatures for wheat grown at
Harper Adams Agricultural College between 1982 and 1993. The
temperatures measured in June were obtained as follows:
15.2
14.2
14.0
12.2
14.4
12.5
14.3
14.2
13.5
11.8
15.2
Assume that the standard deviation is known to be σ = 0.5.
a. Construct a 99% two-sided confidence interval on the
mean temperature.
b. Construct a 95% lower-confidence bound on the mean
temperature.
c. Suppose that you wanted to be 95% confident that…
8.1.1 WP For a normal population with known variance σ²,
answer the following questions:
-
a. What is the confidence level for the interval x — 2.140/
√√n≤≤+2.140/√√n?
8.1.8 A civil engineer is analyzing the compressives trength of concrete. Compressive strength is normally distributed with σ2 = 1000(psi)2. A random sample of 12 specimens has a mean compressive strength ofx = 3250 psi.
a. Construct a 95% two-sided confidence interval on mean
compressive strength.
b. Construct a 99% two-sided confidence interval on mean
compressive strength. Compare the width of this confidence
interval with the width of the one found in part (a).
8.1.9Suppose that in Exercise 8.1.8 it is desired to estimate
the compressive strength with an error that is less than 15 psi at
99% confidence. What sample size is required?
Chapter 1 Solutions
Probability & Statistics with R for Engineers and Scientists
Ch. 1.2 - Prob. 1ECh. 1.2 - Prob. 2ECh. 1.2 - Prob. 3ECh. 1.2 - Prob. 4ECh. 1.2 - Prob. 5ECh. 1.3 - Prob. 1ECh. 1.3 - Prob. 2ECh. 1.3 - Prob. 3ECh. 1.3 - Prob. 4ECh. 1.3 - Prob. 5E
Ch. 1.3 - Prob. 6ECh. 1.3 - Prob. 7ECh. 1.3 - Prob. 8ECh. 1.3 - Prob. 9ECh. 1.4 - Prob. 1ECh. 1.4 - Prob. 2ECh. 1.4 - Prob. 3ECh. 1.4 - Prob. 4ECh. 1.4 - Prob. 5ECh. 1.5 - Prob. 1ECh. 1.5 - Prob. 2ECh. 1.5 - Prob. 3ECh. 1.5 - Prob. 4ECh. 1.5 - Prob. 5ECh. 1.5 - Prob. 6ECh. 1.5 - Prob. 7ECh. 1.5 - Prob. 8ECh. 1.5 - Prob. 9ECh. 1.5 - Prob. 10ECh. 1.5 - Prob. 11ECh. 1.5 - Prob. 12ECh. 1.5 - Prob. 13ECh. 1.5 - Prob. 14ECh. 1.5 - Prob. 15ECh. 1.5 - Prob. 16ECh. 1.5 - Prob. 17ECh. 1.6 - Prob. 1ECh. 1.6 - Prob. 2ECh. 1.6 - Prob. 3ECh. 1.6 - Prob. 4ECh. 1.6 - Prob. 5ECh. 1.6 - Prob. 6ECh. 1.6 - Prob. 7ECh. 1.6 - Prob. 8ECh. 1.6 - Prob. 9ECh. 1.6 - Prob. 10ECh. 1.6 - Prob. 11ECh. 1.6 - Prob. 12ECh. 1.6 - Prob. 13ECh. 1.6 - Prob. 14ECh. 1.6 - Prob. 15ECh. 1.6 - Prob. 16ECh. 1.7 - Prob. 1ECh. 1.7 - Prob. 2ECh. 1.7 - Prob. 3ECh. 1.7 - Prob. 4ECh. 1.8 - Prob. 1ECh. 1.8 - Prob. 2ECh. 1.8 - Prob. 3ECh. 1.8 - Prob. 4ECh. 1.8 - Prob. 5ECh. 1.8 - Prob. 6ECh. 1.8 - Prob. 7ECh. 1.8 - Prob. 8ECh. 1.8 - Prob. 9ECh. 1.8 - Prob. 10ECh. 1.8 - Prob. 11ECh. 1.8 - Prob. 12ECh. 1.8 - Prob. 13ECh. 1.8 - Prob. 14ECh. 1.8 - Prob. 15ECh. 1.8 - Prob. 16ECh. 1.8 - Prob. 17ECh. 1.8 - Prob. 18ECh. 1.8 - Prob. 19E
Knowledge Booster
Similar questions
- 8.1.12 Ishikawa et al. [“Evaluation of Adhesiveness of Acinetobacter sp. Tol 5 to Abiotic Surfaces,” Journal of Bioscience and Bioengineering (Vol. 113(6), pp. 719–725)] studied the adhesion of various biofilms to solid surfaces for possible use in environmental technologies. Adhesion assay is conducted by measuring absorbance at A590. Suppose that for the bacterial strain Acinetobacter, five measurements gave readings of 2.69, 5.76, 2.67, 1.62, and 4.12 dyne-cm2. Assume that the standard deviation is known to be 0.66 dyne-cm2. a. Find a 95% confidence interval for the mean adhesion. b. If the scientists want the confidence interval to be no wider than 0.55 dyne-cm2, how many observations should they take?arrow_forwardAnswer questions 8.2.1 and 8.2.2 respectivelyarrow_forward8.2.3 A research engineer for a tire manufacturer is investigating tire life for a new rubber compound and has built 16 tires and tested them to end-of-life in a road test. The sample mean and standard deviation are 60,139.7 and 3645.94 kilometers. Find a 95% confidence interval on mean tire life. 8.2.4 Determine the t-percentile that is required to construct each of the following one-sided confidence intervals: a. Confidence level = 95%, degrees of freedom = 14 b. Confidence level = 99%, degrees of freedom = 19 c. Confidence level = 99.9%, degrees of freedom = 24arrow_forward
- 8.1.6The yield of a chemical process is being studied. From previous experience, yield is known to be normally distributed and σ = 3. The past 5 days of plant operation have resulted in the following percent yields: 91.6, 88.75, 90.8, 89.95, and 91.3. Find a 95% two-sided confidence interval on the true mean yield. 8.1.7 .A manufacturer produces piston rings for an automobile engine. It is known that ring diameter is normally distributed with σ = 0.001 millimeters. A random sample of 15 rings has a mean diameter of x = 74.036 millimeters. a. Construct a 99% two-sided confidence interval on the mean piston ring diameter. b. Construct a 99% lower-confidence bound on the mean piston ring diameter. Compare the lower bound of this confi- dence interval with the one in part (a).arrow_forward8.1.2 .Consider the one-sided confidence interval expressions for a mean of a normal population. a. What value of zα would result in a 90% CI? b. What value of zα would result in a 95% CI? c. What value of zα would result in a 99% CI? 8.1.3 A random sample has been taken from a normal distribution and the following confidence intervals constructed using the same data: (38.02, 61.98) and (39.95, 60.05) a. What is the value of the sample mean? b. One of these intervals is a 95% CI and the other is a 90% CI. Which one is the 95% CI and why?arrow_forward8.1.4 . A confidence interval estimate is desired for the gain in a circuit on a semiconductor device. Assume that gain is normally distributed with standard deviation σ = 20. a. How large must n be if the length of the 95% CI is to be 40? b. How large must n be if the length of the 99% CI is to be 40? 8.1.5 Suppose that n = 100 random samples of water from a freshwater lake were taken and the calcium concentration (milligrams per liter) measured. A 95% CI on the mean calcium concentration is 0.49 g μ g 0.82. a. Would a 99% CI calculated from the same sample data be longer or shorter? b. Consider the following statement: There is a 95% chance that μ is between 0.49 and 0.82. Is this statement correct? Explain your answer. c. Consider the following statement: If n = 100 random samples of water from the lake were taken and the 95% CI on μ computed, and this process were repeated 1000 times, 950 of the CIs would contain the true value of μ. Is this statement correct? Explain your answerarrow_forward
- The Martinezes are planning to refinance their home. The outstanding balance on their original loan is $150,000. Their finance company has offered them two options. (Assume there are no additional finance charges. Round your answers to the nearest cent.) Option A: A fixed-rate mortgage at an interest rate of 4.5%/year compounded monthly, payable over a 30-year period in 360 equal monthly installments.Option B: A fixed-rate mortgage at an interest rate of 4.25%/year compounded monthly, payable over a 12-year period in 144 equal monthly installments. (a) Find the monthly payment required to amortize each of these loans over the life of the loan. option A $ option B $ (b) How much interest would the Martinezes save if they chose the 12-year mortgage instead of the 30-year mortgage?arrow_forwardThe Martinezes are planning to refinance their home. The outstanding balance on their original loan is $150,000. Their finance company has offered them two options. (Assume there are no additional finance charges. Round your answers to the nearest cent.) Option A: A fixed-rate mortgage at an interest rate of 4.5%/year compounded monthly, payable over a 30-year period in 360 equal monthly installments.Option B: A fixed-rate mortgage at an interest rate of 4.25%/year compounded monthly, payable over a 12-year period in 144 equal monthly installments. (a) Find the monthly payment required to amortize each of these loans over the life of the loan. option A $ option B $ (b) How much interest would the Martinezes save if they chose the 12-year mortgage instead of the 30-year mortgage?arrow_forwardWhen a tennis player serves, he gets two chances to serve in bounds. If he fails to do so twice, he loses the point. If he attempts to serve an ace, he serves in bounds with probability 3/8.If he serves a lob, he serves in bounds with probability 7/8. If he serves an ace in bounds, he wins the point with probability 2/3. With an in-bounds lob, he wins the point with probability 1/3. If the cost is '+1' for each point lost and '-1' for each point won, the problem is to determine the optimal serving strategy to minimize the (long-run)expected average cost per point. (Hint: Let state 0 denote point over,two serves to go on next point; and let state 1 denote one serve left. (1). Formulate this problem as a Markov decision process by identifying the states and decisions and then finding the Cik. (2). Draw the corresponding state action diagram. (3). List all possible (stationary deterministic) policies. (4). For each policy, find the transition matrix and write an expression for the…arrow_forward
- During each time period, a potential customer arrives at a restaurant with probability 1/2. If there are already two people at the restaurant (including the one being served), the potential customer leaves the restaurant immediately and never returns. However, if there is one person or less, he enters the restaurant and becomes an actual customer. The manager has two types of service configurations available. At the beginning of each period, a decision must be made on which configuration to use. If she uses her "slow" configuration at a cost of $3 and any customers are present during the period, one customer will be served and leave with probability 3/5. If she uses her "fast" configuration at a cost of $9 and any customers are present during the period, one customer will be served and leave with probability 4/5. The probability of more than one customer arriving or more than one customer being served in a period is zero. A profit of $50 is earned when a customer is served. The manager…arrow_forwardEvery Saturday night a man plays poker at his home with the same group of friends. If he provides refreshments for the group (at an expected cost of $14) on any given Saturday night, the group will begin the following Saturday night in a good mood with probability 7/8 and in a bad mood with probability 1/8. However, if he fail to provide refreshments, the group will begin the following Saturday night in a good mood with probability 1/8 and in a bad mood with probability 7/8 regardless of their mood this Saturday. Furthermore, if the group begins the night in a bad mood and then he fails to provide refreshments, the group will gang up on him so that he incurs expected poker losses of $75. Under other circumstances he averages no gain or loss on his poker play. The man wishes to find the policy regarding when to provide refreshments that will minimize his (long-run) expected average cost per week. (1). Formulate this problem as a Markov decision process by identifying the states and…arrow_forwardThis year Amanda decides to invest in two different no-load mutual funds: the G Fund or the L Mutual Fund. At the end of each year, she liquidates her holdings, takes her profits, and then reinvests. The yearly profits of the mutual funds depend on where the market stood at the end of the preceding year. Recently the market has been oscillating around level 2 from one year end to the next, according to the probabilities given in the following transition matrix : L1 L2 L3 L1 0.2 0.4 0.4 L2 0.1 0.4 0.5 L3 0.3 0.3 0.4 Each year that the market moves up (down) 1 level, the G Fund has profits (losses) of $20k, while the L Fund has profits (losses) of $10k. If the market moves up (down) 2 level in a year, the G Fund has profits (losses) of $50k, while the L Fund has profits (losses) of only $20k. If the market does not change, there is no profit or loss for either fund. Amanda wishes to determine her optimal investment policy in order to maximize her (long-run) expected average profit per…arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
A First Course in Probability (10th Edition)ProbabilityISBN:9780134753119Author:Sheldon RossPublisher:PEARSON
A First Course in Probability (10th Edition)
Probability
ISBN:9780134753119
Author:Sheldon Ross
Publisher:PEARSON