Understanding Basic Statistics
8th Edition
ISBN: 9781337558075
Author: Charles Henry Brase, Corrinne Pellillo Brase
Publisher: Cengage Learning
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Chapter 8, Problem 8CR
For Problems 8-12, categorize each problem according to the parameter being estimated: proportion p or mean µ. Then solve the problem.
Auto Insurance: Claims Anystate Auto Insurance Company took a random sample of 370 insurance claims paid out during a 1-year period. The average claim paid was $1570. Assume σ = $250. Find 0.90 and 0.99 confidence intervals for the mean claim payment.
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A survey of 581 citizens found that 313 of them favor a new bill introduced by the city. We want to find a 95% confidence interval for the true proportion of the population who favor the bill. What is the lower limit of the interval? Enter the result as a decimal rounded to 3 decimal digits. Your Answer:
A survey of 581 citizens found that 313 of them favor a new bill introduced by the city.
We want to find a 95% confidence interval for the true proportion of the population who favor the bill.
What is the lower limit of the interval? Enter the result as a decimal rounded to 3 decimal digits.
Your Answer:
Chapter 8 Solutions
Understanding Basic Statistics
Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - Critical Thinking Sam computed a 95% confidence...Ch. 8.1 - Critical Thinking Sam computed a 90% confidence...
Ch. 8.1 - Basic Computation: Confidence Interval Suppose x...Ch. 8.1 - Basic Computation:Confidence Interval Suppose x...Ch. 8.1 - Basic Computation: Sample Size Suppose x has a...Ch. 8.1 - Basic Computation: Sample Size Suppose x has a...Ch. 8.1 - Zoology: Hummingbirds Allen's hummingbird...Ch. 8.1 - Diagnostic Tests: Uric Acid Overproduction of uric...Ch. 8.1 - Diagnostic Tests: Plasma Volume Total plasma...Ch. 8.1 - Agriculture: Watermelon What price do farmers get...Ch. 8.1 - FBI Report: Larceny Thirty small communities in...Ch. 8.1 - Confidence Intervals: Values of A random sample...Ch. 8.1 - Confidence Intervals: Sample Size A random sample...Ch. 8.1 - Ecology: Sand Dunes At wind speeds above 1000...Ch. 8.1 - Profits: Banks Jobs and productivity! How do banks...Ch. 8.1 - Prob. 24PCh. 8.1 - Ballooning: Air Temperature How hot is the air in...Ch. 8.2 - Use Table 4 of the Appendix to find tc for a 0.95...Ch. 8.2 - Use Table 4 of the Appendix to find tc for a 0.99...Ch. 8.2 - Use Table 4 of the Appendix to find tc for a 0.90...Ch. 8.2 - Use Table 4 of the Appendix to find tc for a 0.95...Ch. 8.2 - Statistical Literacy Students t distributions are...Ch. 8.2 - Statistical Literacy As the degrees of freedom...Ch. 8.2 - Critical Thinking Consider a 90% confidence...Ch. 8.2 - Critical Thinking Consider a 90% confidence...Ch. 8.2 - Critical Thinking Lorraine computed a confidence...Ch. 8.2 - Critical Thinking Lorraine was in a hum when she...Ch. 8.2 - Basic Computation: Confidence Interval Suppose x...Ch. 8.2 - Basic Computation: Confidence Interval A random...Ch. 8.2 - In Problems 13-19. assumethat the population of x...Ch. 8.2 - In Problems 13-19. assumethat the population of x...Ch. 8.2 - In Problems 13-19. assume that the population of x...Ch. 8.2 - In Problems 13-19, assume that the population of x...Ch. 8.2 - In Problems 13-19, assume that the population of x...Ch. 8.2 - In Problems 13-19, assume that the population of x...Ch. 8.2 - 19 Critical Thinking: Boxplots and Confidence...Ch. 8.2 - Crime Rale: Denver The following data represent...Ch. 8.2 - Finance: P/E Ratio The price of a share of stock...Ch. 8.2 - 22.
Baseball: Home Run Percentage The home run...Ch. 8.2 - Expand Your knowledge: Alternate Method for...Ch. 8.3 - Statistical Literacy For a binomial experiment...Ch. 8.3 - Statistical Literacy In order to use a normal...Ch. 8.3 - Critical Thinking Results of a poll of a random...Ch. 8.3 - Critical Thinking You want to conduct a survey to...Ch. 8.3 - Critical Thinking Jerry tested 30 laptop computers...Ch. 8.3 - Critical Thinking: Brain Teaser A requirement for...Ch. 8.3 - Basic Computation: Confidence Interval for p...Ch. 8.3 - Basic Computation: Confidence Interval for p...Ch. 8.3 - Basic Computation: Sample Size What is the minimal...Ch. 8.3 - Basic Computation: Sample Size What is the minimal...Ch. 8.3 - Myers-Briggs: Actors Isabel Myers was a pioneer in...Ch. 8.3 - Myers-Briggs: Judges In a random sample of 519...Ch. 8.3 - Navajo Lifestyle: Traditional Hogans A random...Ch. 8.3 - Archaeology: Pottery Santa Fe black-on-white is a...Ch. 8.3 - Health Care: Colorado Physicians A random sample...Ch. 8.3 - Law Enforcement: Escaped Convicts Case studies...Ch. 8.3 - Fishing: Barbless Hooks In a combined study of...Ch. 8.3 - Focus Problem: Trick or Treat In a survey of a...Ch. 8.3 - Marketing: Customer Loyalty In a marketing survey,...Ch. 8.3 - Marketing: Bargain Hunters In a marketing survey,...Ch. 8.3 - Lifestyle: Smoking In a survey of 1000 large...Ch. 8.3 - Opinion Poll: Crime and Violence A NewYork...Ch. 8.3 - Medical: Blood Type A random sample of medical...Ch. 8.3 - Business: Phone Contact How hard is it to reach a...Ch. 8.3 - Campus Life: Coeds What percentage of your campus...Ch. 8.3 - Small Business: Bankruptcy The National Council of...Ch. 8.3 - Prob. 27PCh. 8.3 - Expand Your Knowledge: Plus Four Confidence...Ch. 8 - Terminology Answer true or false. The margin of...Ch. 8 - Terminology Answer true or false. A point estimate...Ch. 8 - Terminology Answer true or false. A c% confidence...Ch. 8 - Terminology Consider a student's t distribution....Ch. 8 - Statist Literacy In your own words, carefully...Ch. 8 - Critical Thinking Suppose you are told that a 95%...Ch. 8 - Critical Thinking If you have a 99% confidence...Ch. 8 - For Problems 8-12, categorize each problem...Ch. 8 - For Problems 8-12, categorize each problem...Ch. 8 - For Problems 8-12, categorize each problem...Ch. 8 - For Problems 8-12, categorize each problem...Ch. 8 - or Problems 8-12, categorize each problem...Ch. 8 - Telephone Interviews: Survey The National Study of...Ch. 8 - Telephone Interviews: Survey How large a sample is...Ch. 8 - Archaeology: Pottery Three-circle, red-on-white is...Ch. 8 - Archaeology: Pottery Consider the three-circle,...Ch. 8 - Expand Your Knowledge: Two Confidence Intervals...Ch. 8 - Garrison Bay is a small hay in Washington stale. A...Ch. 8 - Examine Figure 8-7. Fall Back " (a) Of the 1024...Ch. 8 - Examine Figure 8.-8, "Coupons: Limited Use." (a)...Ch. 8 - In this chapter, we have studied confidence...Ch. 8 - Throughout Chapter 8. we have used the normal...Ch. 8 - When the results of a survey or a poll are...
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- 2. The SMSA data consisting of 141 observations on 10 variables is fitted by the model below: 1 y = Bo+B1x4 + ẞ2x6 + ẞ3x8 + √1X4X8 + V2X6X8 + €. See Question 2, Tutorial 3 for the meaning of the variables in the above model. The following results are obtained: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.302e+03 4.320e+02 3.015 0.00307 x4 x6 x8 x4:x8 x6:x8 -1.442e+02 2.056e+01 -7.013 1.02e-10 6.340e-01 6.099e+00 0.104 0.91737 -9.455e-02 5.802e-02 -1.630 0.10550 2.882e-02 2.589e-03 11.132 1.673e-03 7.215e-04 2.319 F) x4 1 3486722 3486722 17.9286 4.214e-05 x6 1 14595537 x8 x4:x8 x6:x8 1 132.4836 < 2.2e-16 1045693 194478 5.3769 0.02191 1 1198603043 1198603043 6163.1900 < 2.2e-16 1 25765100 25765100 1045693 Residuals 135 26254490 Estimated variance matrix (Intercept) x4 x6 x8 x4:x8 x6:x8 (Intercept) x4 x6 x8 x4:x8 x6:x8 0.18875694 1.866030e+05 -5.931735e+03 -2.322825e+03 -16.25142055 0.57188953 -5.931735e+03 4.228816e+02 3.160915e+01 0.61621781 -0.03608028 -0.00445013 -2.322825e+03…arrow_forwardIn some applications the distribution of a discrete RV, X resembles the Poisson distribution except that 0 is not a possible value of X. Consider such a RV with PMF where 1 > 0 is a parameter, and c is a constant. (a) Find the expression of c in terms of 1. (b) Find E(X). (Hint: You can use the fact that, if Y ~ Poisson(1), the E(Y) = 1.)arrow_forwardSuppose that X ~Bin(n,p). Show that E[(1 - p)] = (1-p²)".arrow_forward
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