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. indicatesthat 147 loans are in default.a) Do the data indicate that the proportion of student loans in default in this area ofthe country differs from the proportion of all student loans in the U.S. that are indefault? Use a = 0.01.(ii) The test statistic for the above problem is20 - 2.993=20 =20 =0.16- 0.1620 = 2.993

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Answered: 4. Failure to meet payments on student…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 24PPS

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What is meant by the sample space of an experiment?
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
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. a) 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. (iii) The p-value for the above problem is
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. a) 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. (ii) The test statistic for the above problem is
6. The Computer Security Institute (CSI) conducts an annual survey of computer crime at U.S. businesses. CSI sends survey questionnaires to computer security personnel at all U.S. corporations and government agencies. The 2010 CSI survey was sent and 351 organizations responded. One of the survey questions asked respondents to indicate the percentage of monetary losses attributable to malicious actions by individuals within the organization (i.e., malicious insider actions). The following table summarizes the data for the 144 firms who experienced some monetary loss due to malicious insider actions. Lower Bound 0 10 20 30 40 50 60 70 80 90 Sum Upper Bound 10 20 30 40 50 60 70 80 90 100 Cell Midpoint 5 15 25 35 45 55 65 75 85 95 Frequency 43 55 16 3 2 1 9 4 5 6 144 a. Find the mean percentage loss for the sample of firms who reported some loss. b. Find the median, upper and lower quartiles. c. Draw the box plot. d. Would you describe this distribution as symmetric or skewed? Justify. e.…
3. A Bloomberg Businessweek North American subscriber study collected data from a sample of 2861 sub-scribers. Fifty- nine percent of the respondents indicated an annual income of $ 75,000 or more, and 50% reported having an American Express credit card. a. What is the population of interest in this study? b. Is annual income a categorical or quantitative variable? c. Is ownership of an American Express card a categorical or quantitative variable? d. Does this study involve cross- sectional or time series data? e. Describe any statistical inferences Bloomberg Businessweek might make on the basis of the survey. 4. Table 1.8 shows a data set containing information for 25 of the shadow stocks tracked by the American Association of Individual Investors. Shadow stocks are common stocks of smaller companies that are not closely followed by Wall Street analysts. The data set is also on the website that accompanies the text in the file named Shadow02. a. How many variables are in the data set?…
5. According to the Ameriprise Financial Money Across Generations study, 9 out of 10 parents with adult children ages 20 to 35 have helped their adult children with some type of financial assistance ranging from college, a car, rent, utilities, credit card debt, and/or down payments for houses. The following table with sample data consistent with the study 21Page shows the number of times parents have given their adult children financial assistance to buy a car and to pay rent. Pay Rent Yes No Buy a car Yes 583 529 No 169 788 a. Develop a joint probability table and use it to answer the remaining questions. If parents did not provide financial assistance to buy a car. what it the probability that the parents assisted with paying rent? cIs financial assistance to buy a car independent of financial assistance to pay rent? Use probabilities to justify your answer. b.
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45. Bullish, Neutral, or Bearish. The American Association of Individual Investors conducts a weekly survey of its members to measure the percent who are bullish, bearish, and neutral on the stock market for the next six months. For the week ending November 7, 2012, the survey results showed 35.0% bullish, 38.6% neutral, and 26.4% bearish. Assume these results are based on a sample of 300 AAII members. A. Over the long term, the proportion of bullish AAII members is .39. Conduct a hypothesis test at the 5% level of significance to see if the current sample results show that bullish sentiment differs from its long-term average of .39. What are your findings? B. Over the long term, the proportion of bearish AAII members is .30. Conduct a hypothesis test at the 1% level of significance to see if the current sample results show that bearish sentiment is below its long term average of .30. What are your findings? C. Would you feel comfortable extending these results to all investors?…
The North American Free Trade Agreement (NAFTA) enacted in 1994 is a trilateral trade agreement signed by the United States, Canada and Mexico. This trade agreement has been controversial since its inception and Americans remain split on the issue. In a Gallup Poll conducted February 1-5, 2017, 448 out of 973 randomly selected Americans aged 18 or older stated that they believed that NAFTA was bad for the United States. a. Find the point estimate for the proportion of Americans who believe that NAFTA was bad for the United States. Round your answer to 4 decimal places. b. Find the margin of error for a 95% confidence interval. Round your answer to 4 decimal places. c. Construct the 95% confidence interval for the proportion of Americans who believe that NAFTA was bad for the United States. Enter your answer as an open interval of the form (a,b) and round to 3 decimal places. d. Can you conclude that more than half of Americans believe that NAFTA was bad for the United States? No, the…
The North American Free Trade Agreement (NAFTA) enacted in 1994 is a trilateral trade agreement signed by the United States, Canada and Mexico. This trade agreement has been controversial since its inception and Americans remain split on the issue. In a Gallup Poll conducted February 1-5, 2017, 418 out of 908 randomly selected Americans aged 18 or older stated that they believed that NAFTA was bad for the United States. Find the point estimate for the proportion of Americans who believe that NAFTA was bad for the United States. Round your answer to 4 decimal places. Find the margin of error for a 95% confidence interval. Round your answer to 4 decimal places. Construct the 95% confidence interval for the proportion of Americans who believe that NAFTA was bad for the United States. Enter your answer as an open interval of the form (a,b) and round to 3 decimal places.
The North American Free Trade Agreement (NAFTA) enacted in 1994 is a trilateral trade agreement signed by the United States, Canada and Mexico. This trade agreement has been controversial since its inception and Americans remain split on the issue. In a Gallup Poll conducted February 1-5, 2017, 447 out of 971 randomly selected Americans aged 18 or older stated that they believed that NAFTA was bad for the United States. 1.Find the point estimate for the proportion of Americans who believe that NAFTA was bad for the United States. Round your answer to 4 decimal places. 2.Find the margin of error for a 95% confidence interval. Round your answer to 4 decimal places. 3.Construct the 95% confidence interval for the proportion of Americans who believe that NAFTA was bad for the United States. Enter your answer as an open interval of the form (a,b) and round to 3 decimal places.

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