
Probability and Statistics for Engineering and the Sciences STAT 400 - University Of Maryland
9th Edition
ISBN: 9781305764477
Author: Jay L. Devore
Publisher: Cengage Learning
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Chapter 4.6, Problem 89E
To determine
Whether it is comfortable to estimate population
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You want to obtain a sample to estimate the proportion of a population that possess a particular genetic marker. Based on previous evidence, you believe approximately p∗=11% of the population have the genetic marker. You would like to be 90% confident that your estimate is within 0.5% of the true population proportion. How large of a sample size is required?n = (Wrong: 10,603)
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Chapter 4 Solutions
Probability and Statistics for Engineering and the Sciences STAT 400 - University Of Maryland
Ch. 4.1 - The current in a certain circuit as measured by an...Ch. 4.1 - Suppose the reaction temperature X (in C) in a...Ch. 4.1 - The error involved in making a certain measurement...Ch. 4.1 - Let X denote the vibratory stress (psi) on a wind...Ch. 4.1 - A college professor never finishes his lecture...Ch. 4.1 - The actual tracking weight of a stereo cartridge...Ch. 4.1 - The article Second Moment Reliability Evaluation...Ch. 4.1 - Prob. 8ECh. 4.1 - Based on an analysis of sample data, the article...Ch. 4.1 - A family of pdfs that has been used to approximate...
Ch. 4.2 - Let X denote the amount of time a book on two-hour...Ch. 4.2 - The cdf for X (= measurement error) of Exercise 3...Ch. 4.2 - Prob. 13ECh. 4.2 - The article Modeling Sediment and Water Column...Ch. 4.2 - Let X denote the amount of space occupied by an...Ch. 4.2 - The article A Model of Pedestrians Waiting Times...Ch. 4.2 - Let X have a uniform distribution on the interval...Ch. 4.2 - Let X denote the voltage at the output of a...Ch. 4.2 - Let X be a continuous rv with cdf...Ch. 4.2 - Consider the pdf for total waiting time Y for two...Ch. 4.2 - An ecologist wishes to mark off a circular...Ch. 4.2 - The weekly demand for propane gas (in 1000s of...Ch. 4.2 - If the temperature at which a certain compound...Ch. 4.2 - Let X have the Pareto pdf f(x;k,)={kkxk+1x0x...Ch. 4.2 - Let X be the temperature in C at which a certain...Ch. 4.2 - Let X be the total medical expenses (in 1000s of...Ch. 4.2 - Prob. 27ECh. 4.3 - Let Z be a standard normal random variable and...Ch. 4.3 - In each case, determine the value of the constant...Ch. 4.3 - Find the following percentiles for the standard...Ch. 4.3 - Determine z for the following values of : a. =...Ch. 4.3 - Suppose the force acting on a column that helps to...Ch. 4.3 - Mopeds (small motorcycles with an engine capacity...Ch. 4.3 - The article Reliability of Domestic-Waste Biofilm...Ch. 4.3 - In a road-paving process, asphalt mix is delivered...Ch. 4.3 - Spray drift is a constant concern for pesticide...Ch. 4.3 - Suppose that blood chloride concentration (mmol/L)...Ch. 4.3 - There are two machines available for cutting corks...Ch. 4.3 - The defect length of a corrosion defect in a...Ch. 4.3 - The article Monte Carlo SimulationTool for Better...Ch. 4.3 - The automatic opening device of a military cargo...Ch. 4.3 - The temperature reading from a thermocouple placed...Ch. 4.3 - Vehicle speed on a particular bridge in China can...Ch. 4.3 - If bolt thread length is normally distributed,...Ch. 4.3 - A machine that produces ball bearings has...Ch. 4.3 - The Rockwell hardness of a metal is determined by...Ch. 4.3 - The weight distribution of parcels sent in a...Ch. 4.3 - Suppose Appendix Table A.3 contained (z) only for...Ch. 4.3 - Consider babies born in the normal range of 3743...Ch. 4.3 - In response to concerns about nutritional contents...Ch. 4.3 - Chebyshevs inequality, (see Exercise 44, Chapter...Ch. 4.3 - Let X denote the number of flaws along a 100-m...Ch. 4.3 - Let X have a binomial distribution with parameters...Ch. 4.3 - Suppose that 10% of all steel shafts produced by a...Ch. 4.3 - Suppose only 75% of all drivers in a certain state...Ch. 4.3 - Show that the relationship between a general...Ch. 4.3 - a. Show that if X has a normal distribution with...Ch. 4.3 - There is no nice formula for the standard normal...Ch. 4.4 - Let X = the time between two successive arrivals...Ch. 4.4 - Let X denote the distance (m) that an animal moves...Ch. 4.4 - Data collected at Toronto Pearson International...Ch. 4.4 - The article Microwave Observations of Daily...Ch. 4.4 - A consumer is trying to decide between two...Ch. 4.4 - Evaluate the following: a. (6) b. (5/2) c. F(4; 5)...Ch. 4.4 - Let X denote the data transfer time (ms) in a grid...Ch. 4.4 - The two-parameter gamma distribution can be...Ch. 4.4 - Suppose that when a transistor of a certain type...Ch. 4.4 - The special case of the gamma distribution in...Ch. 4.4 - A system consists of five identical components...Ch. 4.4 - If X has an exponential distribution with...Ch. 4.4 - a. The event {X2 y} is equivalent to what event...Ch. 4.5 - The lifetime X (in hundreds of hours) of a certain...Ch. 4.5 - The authors of the article A Probabilistic...Ch. 4.5 - Prob. 74ECh. 4.5 - Let X have a Weibull distribution with the pdf...Ch. 4.5 - The article The Statistics of Phytotoxic Air...Ch. 4.5 - Prob. 77ECh. 4.5 - The article On Assessing the Accuracy of Offshore...Ch. 4.5 - Nonpoint source loads are chemical masses that...Ch. 4.5 - a. Use Equation (4.13) to write a formula for the...Ch. 4.5 - Sales delay is the elapsed time between the...Ch. 4.5 - As in the case of the Weibull and Gamma...Ch. 4.5 - What condition on and is necessary for the...Ch. 4.5 - Suppose the proportion X of surface area in a...Ch. 4.5 - Let X have a standard beta density with parameters...Ch. 4.5 - Stress is applied to a 20-in. steel bar that is...Ch. 4.6 - The accompanying normal probability plot was...Ch. 4.6 - A sample of 15 female collegiate golfers was...Ch. 4.6 - Prob. 89ECh. 4.6 - The article A Probabilistic Model of Fracture in...Ch. 4.6 - Construct a normal probability plot for the...Ch. 4.6 - The article The Load-Life Relationship for M50...Ch. 4.6 - Prob. 93ECh. 4.6 - The accompanying observations are precipitation...Ch. 4.6 - Use a statistical software package to construct a...Ch. 4.6 - Prob. 96ECh. 4.6 - The following failure time observations (1000s of...Ch. 4 - Let X = the time it takes a read/write head to...Ch. 4 - Prob. 99SECh. 4 - Let X denote the time to failure (in years) of a...Ch. 4 - The completion time X for a certain task has cdf...Ch. 4 - Let X represent the number of individuals who...Ch. 4 - The article Computer Assisted Net Weight...Ch. 4 - When circuit boards used in the manufacture of...Ch. 4 - Prob. 105SECh. 4 - The reaction time (in seconds) to a certain...Ch. 4 - Let X denote the temperature at which a certain...Ch. 4 - An oocyte is a female germ cell involved in...Ch. 4 - Prob. 109SECh. 4 - Prob. 110SECh. 4 - Prob. 111SECh. 4 - The article Error Distribution in Navigation (J....Ch. 4 - Prob. 113SECh. 4 - Suppose a particular state allows individuals...Ch. 4 - Let Ii be the input current to a transistor and I0...Ch. 4 - Prob. 116SECh. 4 - Prob. 117SECh. 4 - a. Suppose the lifetime X of a component, when...Ch. 4 - Prob. 119SECh. 4 - Prob. 120SECh. 4 - The article Three Sisters Give Birth on the Same...Ch. 4 - Let X denote the lifetime of a component, with f...Ch. 4 - Prob. 123SECh. 4 - Prob. 124SECh. 4 - A function g(x) is convex if the chord connecting...Ch. 4 - Let X have a Weibull distribution with parameters ...Ch. 4 - An individuals credit score is a number calculated...Ch. 4 - Prob. 128SE
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- 2. [20] Let {X1,..., Xn} be a random sample from Ber(p), where p = (0, 1). Consider two estimators of the parameter p: 1 p=X_and_p= n+2 (x+1). For each of p and p, find the bias and MSE.arrow_forward1. [20] The joint PDF of RVs X and Y is given by xe-(z+y), r>0, y > 0, fx,y(x, y) = 0, otherwise. (a) Find P(0X≤1, 1arrow_forward4. [20] Let {X1,..., X} be a random sample from a continuous distribution with PDF f(x; 0) = { Axe 5 0, x > 0, otherwise. where > 0 is an unknown parameter. Let {x1,...,xn} be an observed sample. (a) Find the value of c in the PDF. (b) Find the likelihood function of 0. (c) Find the MLE, Ô, of 0. (d) Find the bias and MSE of 0.arrow_forward3. [20] Let {X1,..., Xn} be a random sample from a binomial distribution Bin(30, p), where p (0, 1) is unknown. Let {x1,...,xn} be an observed sample. (a) Find the likelihood function of p. (b) Find the MLE, p, of p. (c) Find the bias and MSE of p.arrow_forwardGiven the sample space: ΩΞ = {a,b,c,d,e,f} and events: {a,b,e,f} A = {a, b, c, d}, B = {c, d, e, f}, and C = {a, b, e, f} For parts a-c: determine the outcomes in each of the provided sets. Use proper set notation. a. (ACB) C (AN (BUC) C) U (AN (BUC)) AC UBC UCC b. C. d. If the outcomes in 2 are equally likely, calculate P(AN BNC).arrow_forwardSuppose a sample of O-rings was obtained and the wall thickness (in inches) of each was recorded. Use a normal probability plot to assess whether the sample data could have come from a population that is normally distributed. Click here to view the table of critical values for normal probability plots. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. 0.191 0.186 0.201 0.2005 0.203 0.210 0.234 0.248 0.260 0.273 0.281 0.290 0.305 0.310 0.308 0.311 Using the correlation coefficient of the normal probability plot, is it reasonable to conclude that the population is normally distributed? Select the correct choice below and fill in the answer boxes within your choice. (Round to three decimal places as needed.) ○ A. Yes. The correlation between the expected z-scores and the observed data, , exceeds the critical value, . Therefore, it is reasonable to conclude that the data come from a normal population. ○…arrow_forwardding question ypothesis at a=0.01 and at a = 37. Consider the following hypotheses: 20 Ho: μ=12 HA: μ12 Find the p-value for this hypothesis test based on the following sample information. a. x=11; s= 3.2; n = 36 b. x = 13; s=3.2; n = 36 C. c. d. x = 11; s= 2.8; n=36 x = 11; s= 2.8; n = 49arrow_forward13. A pharmaceutical company has developed a new drug for depression. There is a concern, however, that the drug also raises the blood pressure of its users. A researcher wants to conduct a test to validate this claim. Would the manager of the pharmaceutical company be more concerned about a Type I error or a Type II error? Explain.arrow_forwardFind the z score that corresponds to the given area 30% below z.arrow_forwardFind the following probability P(z<-.24)arrow_forward3. Explain why the following statements are not correct. a. "With my methodological approach, I can reduce the Type I error with the given sample information without changing the Type II error." b. "I have already decided how much of the Type I error I am going to allow. A bigger sample will not change either the Type I or Type II error." C. "I can reduce the Type II error by making it difficult to reject the null hypothesis." d. "By making it easy to reject the null hypothesis, I am reducing the Type I error."arrow_forwardGiven the following sample data values: 7, 12, 15, 9, 15, 13, 12, 10, 18,12 Find the following: a) Σ x= b) x² = c) x = n d) Median = e) Midrange x = (Enter a whole number) (Enter a whole number) (use one decimal place accuracy) (use one decimal place accuracy) (use one decimal place accuracy) f) the range= g) the variance, s² (Enter a whole number) f) Standard Deviation, s = (use one decimal place accuracy) Use the formula s² ·Σx² -(x)² n(n-1) nΣ x²-(x)² 2 Use the formula s = n(n-1) (use one decimal place accuracy)arrow_forwardarrow_back_iosSEE MORE QUESTIONSarrow_forward_ios
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Chi Square test; Author: Vectors Academy;https://www.youtube.com/watch?v=f53nXHoMXx4;License: Standard YouTube License, CC-BY