MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
expand_more
expand_more
format_list_bulleted
Concept explainers
Topic Video
Question
4. Failure to meet payments on student loans guaranteed by the United States (U.S.) government has been a major problem for both banks and the government. Approximately 50% of all student loans guaranteed by the government are in default. A random sample of 350 loans to college students in one region of the U.S. indicates that 147 loans are in default.
Do the data indicate that the proportion of student loans in default in this area of the country differs from the proportion of all student loans in the U.S. that are in default? Use α = 0.01.
(i) The alternative hypothesis for the above problem is
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by stepSolved in 2 steps
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day.A sample of 62 stocks traded on the NYSE that day showed that 10 went up.You are conducting a study to see if the proportion of stocks that went up is significantly less than 0.3. You use a significance level of α=0.10α=0.10.What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value =arrow_forward26arrow_forwardSuppose because of facility limitations, a large privately owned nursing home has been turning away large numbers of patients requesting admission. Because the nursing home receives some financial assistance from public sources, they are prohibited from making the decision concerning admission on the basis of whether payment is from Medicaid or private funds. As part of a compliance study, suppose that researchers collect the following data over a two year period. Of the 88 Medicaid patients applying for admission, 24 are admitted while 64 are not. Of the 110 privately funded patients applying for admission, 62 are admitted while 48 are not. Are admission status and funding independent? Admitted (A) Not Admitted Medicaid (M) 24 64 Privately Funded 62 48 Group of answer choices No, because P(M | A) is not equal to P(M No, because P(M | A) = P(M) Yes, because P(M | A) = P(M Yes, because P(M | A) is not equal to P(M)arrow_forward
- An insurance company offers four different deductible levels-none, low, medium, and high-for its homeowner's policyholders and three different levels-low, medium, and high-for its automobile policyholders. The accompanying table gives proportions for the various categories of policyholders who have both types of insurance. For example, the proportion of individuals with both low homeowner's deductible and low auto deductible is 0.05 (5% of all such individuals). Homeowner's N L M н Auto L 0.04 0.05 0.05 0.02 M 0.07 0.11 0.20 0.11 0.02 0.03 0.15 0.15 Suppose an individual having both types of policies is randomly selected. (a) What is the probability that the individual has a medium auto deductible and a high homeowner's deductible? (b) What is the probability that the individual has a low auto deductible? A low homeowner's deductible? auto deductible homeowner's deductible (c) What is the probability that the individual is in the same category for both auto and homeowner's deductibles?…arrow_forward5. First USA, a major credit card company, is planning a new offer for their current cardholders. The offer will give double miles on purchases for the next 6 months if the cardholder goes online and registers for the offer. To test the effectiveness of the campaign, First USA recently sent out offers to a random sample of 50,000 cardholders. Of those, 1284 registered. a) Construct a 95% Cl for the true proportion of those cardholders who will register for the offer. Assume the requirements are met. This Cl is for b) If the acceptance rate is only 2% or less, the campaign won't be worth the expense. Given the confidence interval you found, is the campaign worth the expense? Explain why using the Cl.arrow_forward1.arrow_forward
- Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day.A sample of 58 stocks traded on the NYSE that day showed that 21 went up.You are conducting a study to see if the proportion of stocks that went up is is significantly more than 0.3. You use a significance level of α=0.02.What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value = The p-value is... less than (or equal to) αα greater than αα This test statistic leads to a decision to... reject the null accept the null fail to…arrow_forwardAn insurance company offers four different deductible levels—none, low, medium, and high—for its homeowner's policyholders and three different levels—low, medium, and high—for its automobile policyholders. The accompanying table gives proportions for the various categories of policyholders who have both types of insurance. For example, the proportion of individuals with both low homeowner's deductible and low auto deductible is 0.07 (7% of all such individuals). Homeowner's Auto N L M H L 0.04 0.07 0.05 0.01 M 0.07 0.08 0.20 0.13 H 0.02 0.03 0.15 0.15 Suppose an individual having both types of policies is randomly selected. (d) Based on your answer in part (c), what is the probability that the two categories are different?(e) What is the probability that the individual has at least one low deductible level?(f) Using the answer in part (e), what is the probability that neither deductible level is low?arrow_forwardAn insurance company offers four different deductible levels-none, low, medium, and high-for its homeowner's policyholders and three different levels-low, medium, and high-for its automobile policyholders. The accompanying table gives proportions for the various categories of policyholders who have both types of insurance. For example, the proportion of individuals with both low homeowner's deductible and low auto deductible is 0.07 (7% of all such individuals). Auto L M H Homeowner's NLMH Suppose an individual having both types of policies is randomly selected. (a) What is the probability that the individual has a medium auto deductible and a high homeowner's deductible? 0.04 0.07 0.05 0.02 0.07 0.09 0.20 0.11 0.02 0.03 0.15 0.15 (b) What is the probability that the individual has a low auto deductible? A low homeowner's deductible? auto deductible homeowner's deductible (c) What is the probability that the individual is in the same category for both auto and homeowner's deductibles?…arrow_forward
- 4. "As the death rate from drug overdoses surged in the US over the last several years, the number of organ donors who died from overdoses increased from 1.10% of all deceased organ donors in 2000 to 9.34% in 2015, according to government data . The rate of deaths from drug overdoses has increased 137% since 2000, including a 200% increase in the rate of overdose deaths involving opioids" The Guardian May 1st, 2016 a) The percentage of organ donors who died from drug overdoses changed by 9.34% - 1.10% = 8.24% between 2000 and 2015. What is this as a percentage of donors dying from drug overdoses in 2000? b) True/False: Between 2000 and 2015 the rate of overdose deaths involving opioids doubled. *** a苓0 hp IIarrow_forwardMany investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day.A sample of 52 stocks traded on the NYSE that day showed that 18 went up.You are conducting a study to see if the proportion of stocks that went up is is significantly more than 0.3. You use a significance level of α=0.10What is the test statistic for this sample? Use ˆpp^ rounded to 4 decimal places. (Report answer accurate to 4 decimal places.)test statistic = What is the p-value for this sample? (Report answer accurate to 4 decimal places.)p-value = The p-value is... less than (or equal to) α greater than α This p-value leads to a decision to... reject the null…arrow_forward8. The Bureau of Justice conducted a study of 272,111 former inmates released from prisons in 15 states in 1994. A classification of the former prisoners by "most serious offense for which released" yielded the following: 22.5% violent, 33.5% property, 32.6 % drug, 11.4% other. Of those prisoners whose most serious crime was violent 61.7% were rearrested within 3 years of release. For other categories, the recidivism rate (defined as rearrested within 3 years of release) were: property 73.8%, drug 66.7%, and other 62.6%. If a released prisoner from these 15 states is rearrested within 3 years of release, what is the probability that this prisoner's most serious offence was violent?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman