
Statistical Reasoning for Everyday Life (5th Edition)
5th Edition
ISBN: 9780134494043
Author: Jeff Bennett, William L. Briggs, Mario F. Triola
Publisher: PEARSON
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Chapter 4.4, Problem 4E
To determine
Explain whether it is possible for one of the quarterbacks to have a higher passing percentage in each half while having a lower passing percentage for the whole game.
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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)
Do not round mid-calculation. However, you may use a critical value accurate to three decimal places.
Chapter 4 Solutions
Statistical Reasoning for Everyday Life (5th Edition)
Ch. 4.1 - Average. Define and distinguish among mean,...Ch. 4.1 - Outliers. What are outliers? Describe the effects...Ch. 4.1 - Average Confusion. Briefly describe at least two...Ch. 4.1 - Weighting. What is a weighted mean, and when is it...Ch. 4.1 - Does It Make Sense? For Exercises 59, determine...Ch. 4.1 - Does It Make Sense? For Exercises 59, determine...Ch. 4.1 - Mode. In an analysis of salaries paid to sales...Ch. 4.1 - Employment Data. A survey asked people their...Ch. 4.1 - Mean Wage. To find the mean wage of restaurant...Ch. 4.1 - Mean, Median, and Mode. In Exercises 1016, find...
Ch. 4.1 - Mean, Median, and Mode. In Exercises 1016, find...Ch. 4.1 - Mean, Median, and Mode. In Exercises 1016, find...Ch. 4.1 - Mean, Median, and Mode. In Exercises 1016, find...Ch. 4.1 - Mean, Median, and Mode. In Exercises 1016, find...Ch. 4.1 - Mean, Median, and Mode. In Exercises 1016, find...Ch. 4.1 - Mean, Median, and Mode. In Exercises 1016, find...Ch. 4.1 - Cell Phone Radiation. Listed below are...Ch. 4.1 - Alphabetic States. The states of Alabama, Alaska,...Ch. 4.1 - Outlier Coke. The contents of cans of regular...Ch. 4.1 - Raising Your Grade. Suppose you have scores of 80,...Ch. 4.1 - Raising Your Grade. Suppose you have scores of 60,...Ch. 4.1 - Comparing Data. In Exercises 2225, find the mean...Ch. 4.1 - Comparing Data. In Exercises 2225, find the mean...Ch. 4.1 - Comparing Data. In Exercises 2225, find the mean...Ch. 4.1 - Prob. 25ECh. 4.1 - Weighted Mean. Compute the weighte means in...Ch. 4.1 - Class Grade. Ryan is taking an advanced math class...Ch. 4.1 - GPA. One common system for computing a grade point...Ch. 4.1 - Prob. 29ECh. 4.1 - Prob. 30ECh. 4.1 - 31. Stockholder Voting. A small company has six...Ch. 4.1 - Weighted Mean. In Exercises 3235, find the mean of...Ch. 4.1 - Weighted Mean. In Exercises 3235, find the mean of...Ch. 4.1 - Weighted Mean. In Exercises 3235, find the mean of...Ch. 4.1 - Weighted Mean. In Exercises 3235, find the mean of...Ch. 4.1 - U.S. Population Center. Imagine taking a huge flat...Ch. 4.2 - Modes. Distinguish between a uniform distribution...Ch. 4.2 - Prob. 2ECh. 4.2 - Prob. 3ECh. 4.2 - Prob. 4ECh. 4.2 - Prob. 5ECh. 4.2 - Does It Make Sense? For Exercises 58, determine...Ch. 4.2 - Does It Make Sense? For Exercises 58, determine...Ch. 4.2 - Does It Make Sense? For Exercises 58, determine...Ch. 4.2 - Prob. 9ECh. 4.2 - Distributions. In Exercises 912, describe the...Ch. 4.2 - Distributions. In Exercises 912, describe the...Ch. 4.2 - Distributions. In Exercises 912, describe the...Ch. 4.2 - Baseball Salaries. In a recent year, the 868...Ch. 4.2 - Boston Rainfall. The daily rainfall amounts (in...Ch. 4.2 - Describing Distributions. For each distribution...Ch. 4.2 - Describing Distributions. For each distribution...Ch. 4.2 - Describing Distributions. For each distribution...Ch. 4.2 - Describing Distributions. For each distribution...Ch. 4.2 - Describing Distributions. For each distribution...Ch. 4.2 - Describing Distributions. For each distribution...Ch. 4.2 - Describing Distributions. For each distribution...Ch. 4.2 - Describing Distributions. For each distribution...Ch. 4.2 - Describing Distributions. For each distribution...Ch. 4.2 - Describing Distributions. For each distribution...Ch. 4.2 - Describing Distributions. For each distribution...Ch. 4.2 - Describing Distributions. For each distribution...Ch. 4.3 - Variation Matters. Consider two grocery stores at...Ch. 4.3 - Variation Measures. Briefly distinguish between...Ch. 4.3 - Quartiles and Percentiles. Briefly describe how...Ch. 4.3 - Standard Deviation. Describe the process of...Ch. 4.3 - Does It Make Sense? For Exercises 58, determine...Ch. 4.3 - Does It Make Sense? For Exercises 58, determine...Ch. 4.3 - Does It Make Sense? For Exercises 58, determine...Ch. 4.3 - Does It Make Sense? For Exercises 58, determine...Ch. 4.3 - Prob. 9ECh. 4.3 - Range and Standard Deviation. Exercises 916 each...Ch. 4.3 - Range and Standard Deviation. Exercises 916 each...Ch. 4.3 - Range and Standard Deviation. Exercises 916 each...Ch. 4.3 - Range and Standard Deviation. Exercises 916 each...Ch. 4.3 - Range and Standard Deviation. Exercises 916 each...Ch. 4.3 - Range and Standard Deviation. Exercises 916 each...Ch. 4.3 - Range and Standard Deviation. Exercises 916 each...Ch. 4.3 - Prob. 17ECh. 4.3 - Comparing Variation. In Exercises 1720, find the...Ch. 4.3 - Prob. 19ECh. 4.3 - Comparing Variation. In Exercises 1720, find the...Ch. 4.3 - Calculating Percentiles. A statistics professor...Ch. 4.3 - Calculating Percentiles. A data set consists of...Ch. 4.3 - Understanding Standard Deviation. The following...Ch. 4.3 - Understanding Standard Deviation. The following...Ch. 4.3 - Comparing Data Sets. For each of Exercises 2528,...Ch. 4.3 - Comparing Data Sets. For each of Exercises 2528,...Ch. 4.3 - Comparing Data Sets. For each of Exercises 2528,...Ch. 4.3 - Comparing Data Sets. For each of Exercises 2528,...Ch. 4.3 - Manufacturing. You are in charge of a...Ch. 4.3 - Prob. 30ECh. 4.3 - Prob. 31ECh. 4.3 - Prob. 32ECh. 4.4 - False Positive and False Negative. Professional...Ch. 4.4 - Positive Test Result. A professional soccer player...Ch. 4.4 - Prob. 3ECh. 4.4 - Prob. 4ECh. 4.4 - Does It Make Sense? For Exercises 58, determine...Ch. 4.4 - Does It Make Sense? For Exercises 58, determine...Ch. 4.4 - Does It Make Sense? For Exercises 58, determine...Ch. 4.4 - Does It Make Sense? For Exercises 58, determine...Ch. 4.4 - Prob. 9ECh. 4.4 - Passing Percentages. The table below shows the...Ch. 4.4 - Test Scores. The table below shows eighth-grade...Ch. 4.4 - Test Scores. Consider the following table...Ch. 4.4 - Prob. 13ECh. 4.4 - Prob. 14ECh. 4.4 - Basketball Records. Consider the following...Ch. 4.4 - Better Drug. Two drugs, A and B, were tested on a...Ch. 4.4 - Prob. 17ECh. 4.4 - Disease Test. Suppose a test for a disease is 80%...Ch. 4.4 - Prob. 19ECh. 4.4 - Drug Trials. (This problem is based on an example...Ch. 4.4 - HIV Risks. The New York State Department of Health...Ch. 4 - Chocolate Chips. Listed below are counts of the...Ch. 4 - Prob. 2CRECh. 4 - a. What is the standard deviation for a data set...Ch. 4 - When you add the earthquake magnitudes 2.45, 3.62,...Ch. 4 - Prob. 2CQCh. 4 - Prob. 3CQCh. 4 - Prob. 4CQCh. 4 - Prob. 5CQCh. 4 - Prob. 6CQCh. 4 - A histogram is constructed for a large set of...Ch. 4 - Prob. 8CQCh. 4 - Prob. 9CQCh. 4 - Identify the names of the components that...
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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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