A randomly selected candidate who took a CFA exam tells you that he has passed the exam. What is the probability that he took the CFA I exam?
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The chartered financial analyst (CFA) is a designation earned after taking three annual exams (CFA I,II, and III). The exams are taken in early June. Candidates who pass an exam are eligible to take the exam for the next level in the following year. The pass rates for levels I, II, and III are 0.51, 0.74, and 0.85, respectively. Suppose that 3,000 candidates take the level I exam, 2,500 take the level II exam and 2,000 take the level III exam. A randomly selected candidate who took a CFA exam tells you that he has passed the exam. What is the
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- The following information is taken from Johnson & Johnson's annual reports. Its common stock is listed on the New York Stock Exchange, using the symbol JNJ. Johnson & Johnson Domestic Sales International Sales Employees Year ($ million) ($ million) (thousands) 2010 $ 29,437 $ 32,124 114.0 2011 12,907 36,107 117.9 2012 29,830 37,394 127.6 2013 31,910 39,402 128.1 2014 34,782 39,548 126.5 2015 35,687 34,387 127.1 2016 37,811 34,079 126.4 2017 39,863 36,587 134.0 2018 41,884 39,697 135.1 Using the period 2010–12 as the base period, compute a simple index of international sales for each year from 2013 to 2018. (Round your answers to 1 decimal place.)The index (2010–2012 = 100) for selected years is:The following charts show the monthly S&P 500 index and the FTSE 100 index over approximately the last ten years FRED A - S&P 500 4,000 3,600 3,200 2,800 2,400 2,000 1,600 1,200 800 Jan 2012 Jan 2013 Jan 2014 Jan 2015 Jan 2016 Jan 2017 Jan 2018 Jan 2019 Jan 2020 U.S. recessions are shaded, the most recent end date is undecided. Source: S&P Dow Jones Indices LLC fred.stlouisfe 8,000.00 6,000.00 4,000.00 2,000.00 0.00 2012 2014 2016 2018 2020 The two indices relate to the USA and the UK, respectively. Both indices are I(1) a) Given that the two series are I(1), is it possible for there to be a causal relationship between them? If it is possible, how would you test for the existence of such a relationship?Help me
- Red, Inc provides group term life insurance to all of its employees. Susan, a vice-president, received $200,000 of coverage for the year. The Uniform Premiums (based on Susan's age) are $ 15 per month for $1,000 o f protection How much of this must Susan include in gross income this year? O SO O $360.00 O $270.00 O $280.00A paper included analysis of data from a national sample of 1,000 Americans. One question on the survey is given below. "You owe $3,000 on your credit card. You pay a minimum payment of $30 each month. At an Annual Percentage Rate of 12% (or 1% per month), how many years would it take to eliminate your credit card debt if you made no additional charges?" Answer options for this question were: (a) less than 5 years; (b) between 5 and 10 years; (c) between 10 and 15 years; (d) never-you will continue to be in debt; (e) don't know; and (f) prefer not to answer. A USE SALT (a) Only 355 of the 1,000 respondents chose the correct answer of "never." Assume that the sample is representative of adult Americans. Is there convincing evidence that the proportion of adult Americans who can answer this question correctly is less than 0.40 (40%)? Use the five-step process for hypothesis testing (HMC3) described in this section and a = 0.05 to test the appropriate hypotheses. (Hint: See Example…Coca-Cola Revenues ($ millions), 2014 to 2019 Quarter 2014 2015 2016 2017 2018 2019 Quarter 1 10.58 9.94 10.28 9.12 7.63 8.02 Quarter 2 12.57 11.63 11.54 9.70 9.42 10.00 Quarter 3 11.98 11.77 10.63 9.08 8.78 9.51 Quarter4 10.87 10.13 9.41 7.51 5.36 9.07 What is the trend model for the deseasonalized time series? (Round your answers to 2 decimal places.) State the model found when performing a regression using seasonal binaries. (A negative value should be indicated by a minus sign. Round your answers to 4 decimal places.) Use the regression equation to make a prediction for each quarter in 2020. (Enter your answers in millions rounded to 3 decimal places.)
- Assist the analyst to obtain the index value forecastsIllustration 16.60. A bank has a test designed to establish the credit rating of a loan applicant. If the persons, who default (D), 90% fail the test (F). Of the persons, who will repay the bank (ND), 5% fail the test. Furthermore, it is given that 4% of the population is not worthy of credit ; i.e., P(D) = .04. Given that someone failed the test, what is the probability that he actually will default (when given a load)? CS Scanned with CamScannerA paper included analysis of data from a national sample of 1,000 Americans. One question on the survey is given below. "You owe $3,000 on your credit card. You pay a minimum payment of $30 each month. At an Annual Percentage Rate of 12% (or 1% per month), how many years would it take to eliminate your credit card debt if you made no additional charges?" Answer options for this question were: (a) less than 5 years; (b) between 5 and 10 years; (c) between 10 and 15 years; (d) never—you will continue to be in debt; (e) don't know; and (f) prefer not to answer. The paper also reported that 37.1% of those in the sample chose one of the wrong answers (a, b, or c) as their response to this question. Is it reasonable to conclude that more than one-third of adult Americans would select a wrong answer to this question? Use ? = 0.05. (Round your test statistic to two decimal places and your P-value to four decimal places.) State the appropriate null and alternative hypotheses. H0: p =…
- Year Population 1790 3,929,214 1800 5,308,483 1810 7,239,881 1820 9,638,453 1830 12,866,020 1840 17,069,453 1850 23,191,876 1860 31,443,321 1870 39,818,449 1880 50,155,783 1890 62,947,714 1900 75,994,575 1910 91,972,266 1920 105,710,620 1930 122,775,046 1940 131,669,275 1950 150,697,361 1960 179,323,175 1970 203,302,031 1980 226,545,805 1990 248,709,873 2000 281,421,906 2010 308,745,538 Use excel to calculate the Least Squares Regression Line for the census data? (need to include correct values for a and b) Using the line, you calculated in number 5, what would you predict the population to have been in 1985? EXPLAIN. Should you use the previously calculated Regression Line to predict population in the year 2200? EXPLAIN.a) The cost of an 'average' television has fallen over recent years. 2017 2018 2019 2020 £950 £820 £740 £630 Convert the costs into an index using 2017 as the base year.
