FINAL EXAM - FALL 2005 2320

FINAL EXAM - FALL 2005 2320 - YORK UNIVERSITY ATKINSON...

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Unformatted text preview: YORK UNIVERSITY ATKINSON COLLEGE Department of Administrative Studies AK/ADMS 2320.3.0 - Quantitative Methods 1 FALL 2005 - FINAL EXAMINATION December 10, 2005 Time Allowed: 3 hours H. Bartel Section B Section C A. Marshall Section A Section K P. Ng Section I R. Huang Section H S. Abdullah Section L G. O’Keefe Section D Section E Section F Section G Section J INSTRUCTIONS: 1. You must write this exam in the section in which you are enrolled. 2. This is a closed book examination. 3. Answer all questions on examination paper where space is provided. YOU MUST SHOW ALL YOUR WORK. 4. Record Multiple Choice answers in pencil on the Scantron sheet provided. 5. Aids allowed: writing utensils, eraser, silent, non-programmable calculator, two sides of 8 ½” x 11” formula sheet, and English paper-based dictionary. 6. Calculations are to be to the 4th decimal place. 7. YOU MUST HAND IN THIS EXAM BEFORE LEAVING THE EXAMINATION ROOM. FAILURE TO DO SO WILL RESULT IN AN AUTOMATIC F GRADE. MARKS: Question 1: (7) Student’s Name (Print) Question 2: (25) Question 3: (15) Question 4: (13) Student Number Question 5: (20) Question 6: (20) Signature TOTAL: (100) THIS EXAM CONTAINS 28 PAGES (INCLUDING COVER PAGE AND TABLES). DO NOT REMOVE ANY PAGES AK/ADMS 2320.3.0 FINAL EXAMINATION 2 of 28 FALL 2005 Question 1 (7 marks) As a manufacturer of golf clubs, a major corporation wants to estimate the proportion of golfers who are right-handed. The manufacturer has information from a previous study which suggested that 75% of golfers are right-handed. How many golfers must be surveyed if they want to be within 0.02, with a 95% confidence? Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 3 of 28 FALL 2005 Question 2 (25 marks) Random samples of two brands of whole milk are checked for their fat content as follows: 33 half-gallon containers of each brand are selected, and the fat content is measured (in grams). The resulting data are shown in the accompanying table. 30 26 31 27 37 28 31 29 25 27 25 BRAND A 26 33 20 28 27 31 35 30 26 29 31 ∑x ∑x A = 974 2 A = 29,200 36 35 32 27 29 33 27 30 36 30 27 BRAND B 33 20 18 26 25 20 22 24 33 25 26 24 27 22 31 30 25 22 26 29 22 30 ∑x ∑x B = 801 2 B 17 21 18 25 27 24 24 20 18 20 27 = 20,037 a. Can we conclude at the 5% significance level that the variability in fat content of Brand A is different from that of Brand B? Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 4 of 28 FALL 2005 b. Estimate with 95% confidence the difference in mean fat content between Brand A and Brand B. Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 5 of 28 FALL 2005 c. Any container that contains 30 g or more of fat is considered unacceptable. Is there enough evidence to conclude that Brand A has a higher fraction of unacceptable containers than Brand B? (Use " = .01) d. What is the p-value of the test in part (c)? Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 6 of 28 FALL 2005 e. The owner of Brand B claims that no more than 10% of his containers are unacceptable. Is there sufficient evidence at the 5% significance level to refute this claim? Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 7 of 28 FALL 2005 f. Estimate with 90% confidence the fraction of unacceptable Brand A containers. Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 8 of 28 FALL 2005 Question 3 (15 marks) A major insurance firm interviewed a random sample of 1200 university students to find out the type of life insurance preferred, if any. The results follow: Gender Female Male Insurance Preference Term Whole Life No Insurance 100 80 325 160 60 475 Is there evidence that life insurance preference of male students is different than that of female students? Test using the 5% level of significance. Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 9 of 28 FALL 2005 Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 10 of 28 FALL 2005 Question 4 (13 marks) Calculate the probability of a Type II error for the following test of hypothesis H 0 : µ = 50 vs. H 1 : µ > 50 , given that µ = 55 , α = 0.05, σ = 10, and n = 16. Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 11 of 28 FALL 2005 Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 12 of 28 FALL 2005 Question 5 (20 marks) A financier whose specialty is investing in movie productions has observed that, in general, movies with “big-name” stars seem to generate more revenue than those movies whose stars are less well known. To examine his belief he records the gross revenue and the payment (in $ millions) given to the two highest-paid performers in the movie for ten recently released movies. Movie Cost of 2 Highest Paid Performers ($millions) 1 2 3 4 5 6 7 8 9 10 Gross Revenue ($millions) 5.3 7.2 1.3 1.8 3.5 2.6 8.0 2.4 4.5 6.7 48 65 18 20 31 26 73 23 39 58 a. Find the sample regression line Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 13 of 28 FALL 2005 Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 14 of 28 FALL 2005 b. Interpret the coefficients. c. Determine the standard error of estimate and describe what this statistic tells you about the regression line. Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 15 of 28 FALL 2005 d. Determine the coefficient of determination and discuss what its value tells you about the two variables. e. Is there a linear relationship between payment to the two highest-paid performers and gross revenue? Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 16 of 28 FALL 2005 b. Predict with 95% confidence the Gross Revenue if the cost of two highest paid performers is $5 million. Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 17 of 28 FALL 2005 Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 18 of 28 FALL 2005 Question 6: MULTIPLE CHOICE – Answer on Scantron Sheet (ONLY use PENCIL and PRESS HARD, fill in LAST NAME, FIRST NAME, STUDENT NUMBER, Answers) 1. From a population that is not normally distributed and whose standard deviation is not known, a sample of 6 items is selected to develop an interval estimate for the mean of the population (µ). a. The normal distribution can be used. b. The t distribution with 5 degrees of freedom must be used. c. The t distribution with 6 degrees of freedom must be used. d. The sample size must be increased. 2. In which of the following are the two events A and B, always independent? a. A and B are mutually exclusive. b. The probability of event A is not influenced by the probability of event B. c. P(A|B) = P(A). d. b and c. 3. A fair die is rolled 10 times. What is the probability that an odd number (1, 3, or 5) will occur less than 3 times? a. .055 b. .117 c. .775 d. .155 4. All of the following are assumptions of the error terms in the simple linear regression model except a. Errors are normally distributed. b. Error terms have a mean of zero. c. Error terms have a constant variance. d. Error terms indicate a positive autocorrelation. 5. The simple linear regression (least squares method) minimizes: a. The explained variation b. SSR c. SSE d. Total variation 6. After computing a confidence interval, the user believes the results are meaningless because the width of the interval is too large. Which one of the following is the best recommendation? a. Increase the level of confidence for the interval. b. Decrease the sample size. c. Increase the sample size. d. Reduce the population variance. Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 19 of 28 FALL 2005 7. The level of significance is the a. maximum allowable probability of Type II error b. maximum allowable probability of Type I error c. same as the confidence coefficient d. same as the p-value 8. ˆ The regression line y = 3 + 2x has been fitted to the data points (4, 8), (2, 5), and (1, 2). The sum of the squared residuals will be: a. 7 b. 15 c. 8 d. 22 9. In a simple linear regression problem, the following sum of squares are produced: ˆ ˆ ∑ ( yi − y ) 2 = 200 , ∑ ( yi − yi ) 2 = 50 , and ∑ ( yi − y ) 2 = 150 . The percentage of the variation in y that is explained by the variation in x is: a. 25% b. 75% c. 33% d. 50% 10. If the coefficient of determination is 0.975, then the slope of the regression line: a. must be positive b. must be negative c. could be either positive or negative d. None of the above. 11. Which of the following statistics and procedures can be used to determine whether a linear model should be employed? a. The standard error of estimate b. The coefficient of determination c. The t-test of the slope d. All of the above 12. In regression analysis, the coefficient of determination R 2 measures the amount of variation in y that is: a. caused by the variation in x b. explained by the variation in x c. unexplained by the variation in x d. None of the above Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 20 of 28 FALL 2005 13. Given a specific value of x and confidence level, which of the following statements is correct? a. The confidence interval estimate of the expected value of y can be calculated but the prediction interval of y for the given value of x cannot be calculated. b. The confidence interval estimate of the expected value of y will be wider than the prediction interval. c. The prediction interval of y for the given value of x can be calculated but the confidence interval estimate of the expected value of y cannot be calculated. d. The confidence interval estimate of the expected value of y will be narrower than the prediction interval. 14. In an ANOVA test, the test statistic is F = 6.75. The rejection region is F > 3.97 for the 5% level of significance, F > 5.29 for the 2.5% level, and F > 7.46 for the 1% level. For this test, the p-value is a. greater than 0.05 b. between 0.025 and 0.05 c. between 0.01 and 0.025 d. approximately 0.05 15. If we want to conduct a test to determine whether a population mean is greater than another population mean, we a. can use the analysis of variance b. can use the independent samples t-test for difference between two means c. can use the chi-squared test d. All of the above. 16. One-way ANOVA is applied to three independent samples having means 10, 13, and 18, respectively. If each observation in the third sample were increased by 30, the value of the Fstatistics would: a. increase b. decrease c. remain unchanged d. increase by 30 17. In chi-squared tests, the conventional and conservative rule – known as the rule of five – is to require that the: a. observed frequency for each cell be at least five b. degrees of freedom for the test be at least five c. expected frequency for each cell be at least five d. difference between the observed and expected frequency for each cell be at least five Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 21 of 28 FALL 2005 18. One-way ANOVA is performed on independent samples taken from three normally distributed populations with equal variances. The following summary statistics were calculated: n1 = 6, x1 = 50, s1 = 5.2, n 2 = 8, x 2 = 55, s 2 = 4.9, n3 = 6, x3 = 51, and s 3 = 5.4. The grand mean equals a. 50.0 b. 52.0 c. 52.3 d. 53.0 19. To determine whether a single coin is fair, the coin was tossed 100 times, and head was observed 60 times. The value of the test statistic could be a. 2 b. 4 c. 6 or 4 d. 4 or 2 20. A chi-squared goodness-of-fit test is always conducted as: a. an upper-tail test b. a lower-tail test c. a two-tail test d. All of the above Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 22 of 28 FALL 2005 Normal Probabilities z 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0 .00 0.0000 0.0398 0.0793 0.1179 0.1554 0.1915 0.2257 0.2580 0.2881 0.3159 0.3413 0.3643 0.3849 0.4032 0.4192 0.4332 0.4452 0.4554 0.4641 0.4713 0.4772 0.4821 0.4861 0.4893 0.4918 0.4938 0.4953 0.4965 0.4974 0.4981 0.4987 .01 0.0040 0.0438 0.0832 0.1217 0.1591 0.1950 0.2291 0.2611 0.2910 0.3186 0.3438 0.3665 0.3869 0.4049 0.4207 0.4345 0.4463 0.4564 0.4649 0.4719 0.4778 0.4826 0.4864 0.4896 0.4920 0.4940 0.4955 0.4966 0.4975 0.4982 0.4987 .02 0.0080 0.0478 0.0871 0.1255 0.1628 0.1985 0.2324 0.2642 0.2939 0.3212 0.3461 0.3686 0.3888 0.4066 0.4222 0.4357 0.4474 0.4573 0.4656 0.4726 0.4783 0.4830 0.4868 0.4898 0.4922 0.4941 0.4956 0.4967 0.4976 0.4982 0.4987 .03 0.0120 0.0517 0.0910 0.1293 0.1664 0.2019 0.2357 0.2673 0.2967 0.3238 0.3485 0.3708 0.3907 0.4082 0.4236 0.4370 0.4484 0.4582 0.4664 0.4732 0.4788 0.4834 0.4871 0.4901 0.4925 0.4943 0.4957 0.4968 0.4977 0.4983 0.4988 .04 0.0160 0.0557 0.0948 0.1331 0.1700 0.2054 0.2389 0.2704 0.2995 0.3264 0.3508 0.3729 0.3925 0.4099 0.4251 0.4382 0.4495 0.4591 0.4671 0.4738 0.4793 0.4838 0.4875 0.4904 0.4927 0.4945 0.4959 0.4969 0.4977 0.4984 0.4988 .05 0.0199 0.0596 0.0987 0.1368 0.1736 0.2088 0.2422 0.2734 0.3023 0.3289 0.3531 0.3749 0.3944 0.4115 0.4265 0.4394 0.4505 0.4599 0.4678 0.4744 0.4798 0.4842 0.4878 0.4906 0.4929 0.4946 0.4960 0.4970 0.4978 0.4984 0.4989 .06 0.0239 0.0636 0.1026 0.1406 0.1772 0.2123 0.2454 0.2764 0.3051 0.3315 0.3554 0.3770 0.3962 0.4131 0.4279 0.4406 0.4515 0.4608 0.4686 0.4750 0.4803 0.4846 0.4881 0.4909 0.4931 0.4948 0.4961 0.4971 0.4979 0.4985 0.4989 .07 0.0279 0.0675 0.1064 0.1443 0.1808 0.2157 0.2486 0.2794 0.3078 0.3340 0.3577 0.3790 0.3980 0.4147 0.4292 0.4418 0.4525 0.4616 0.4693 0.4756 0.4808 0.4850 0.4884 0.4911 0.4932 0.4949 0.4962 0.4972 0.4979 0.4985 0.4989 .08 0.0319 0.0714 0.1103 0.1480 0.1844 0.2190 0.2517 0.2823 0.3106 0.3365 0.3599 0.3810 0.3997 0.4162 0.4306 0.4429 0.4535 0.4625 0.4699 0.4761 0.4812 0.4854 0.4887 0.4913 0.4934 0.4951 0.4963 0.4973 0.4980 0.4986 0.4990 .09 0.0359 0.0753 0.1141 0.1517 0.1879 0.2224 0.2549 0.2852 0.3133 0.3389 0.3621 0.3830 0.4015 0.4177 0.4319 0.4441 0.4545 0.4633 0.4706 0.4767 0.4817 0.4857 0.4890 0.4916 0.4936 0.4952 0.4964 0.4974 0.4981 0.4986 0.4990 Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 23 of 28 FALL 2005 Critical Values of t DEGREES OF FREEDOM 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 t .025 t .010 DEGREES OF FREEDOM t .100 t .050 t .005 3.078 1.886 1.638 1.533 1.476 1.440 1.415 1.397 1.383 1.372 1.363 1.356 1.350 1.345 1.341 1.337 1.333 1.330 1.328 1.325 1.323 1.321 1.319 6.314 12.706 31.821 63.656 2.920 4.303 6.965 9.925 2.353 3.182 4.541 5.841 2.132 2.776 3.747 4.604 2.015 2.571 3.365 4.032 1.943 2.447 3.143 3.707 1.895 2.365 2.998 3.499 1.860 2.306 2.896 3.355 1.833 2.262 2.821 3.250 1.812 2.228 2.764 3.169 1.796 2.201 2.718 3.106 1.782 2.179 2.681 3.055 1.771 2.160 2.650 3.012 1.761 2.145 2.624 2.977 1.753 2.131 2.602 2.947 1.746 2.120 2.583 2.921 1.740 2.110 2.567 2.898 1.734 2.101 2.552 2.878 1.729 2.093 2.539 2.861 1.725 2.086 2.528 2.845 1.721 2.080 2.518 2.831 1.717 2.074 2.508 2.819 1.714 2.069 2.500 2.807 24 25 26 27 28 29 30 35 40 45 50 60 70 80 90 100 120 140 160 180 200 Inf. t .100 t .050 t .025 t .010 t .005 1.318 1.316 1.315 1.314 1.313 1.311 1.310 1.306 1.303 1.301 1.299 1.296 1.294 1.292 1.291 1.290 1.289 1.288 1.287 1.286 1.286 1.282 1.711 1.708 1.706 1.703 1.701 1.699 1.697 1.690 1.684 1.679 1.676 1.671 1.667 1.664 1.662 1.660 1.658 1.656 1.654 1.653 1.653 1.645 2.064 2.060 2.056 2.052 2.048 2.045 2.042 2.030 2.021 2.014 2.009 2.000 1.994 1.990 1.987 1.984 1.980 1.977 1.975 1.973 1.972 1.960 2.492 2.485 2.479 2.473 2.467 2.462 2.457 2.438 2.423 2.412 2.403 2.390 2.381 2.374 2.368 2.364 2.358 2.353 2.350 2.347 2.345 2.326 2.797 2.787 2.779 2.771 2.763 2.756 2.750 2.724 2.704 2.690 2.678 2.660 2.648 2.639 2.632 2.626 2.617 2.611 2.607 2.603 2.601 2.576 Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 24 of 28 FALL 2005 Critical Values of χ2 DEGREES OF FREEDOM 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 35 40 45 50 60 70 80 90 100 χ2 .995 χ2 .990 χ2 .975 χ2 .950 χ2 .900 χ2 .100 χ2 .050 χ2 .025 χ2 .010 χ2 .005 0.0000 0.0100 0.0717 0.2070 0.4118 0.6757 0.9893 1.3444 1.7349 2.1558 2.6032 3.0738 3.5650 4.0747 4.6009 5.1422 5.6973 6.2648 6.8439 7.4338 8.0336 8.6427 9.2604 9.8862 10.5196 11.1602 11.8077 12.4613 13.1211 13.7867 17.1917 20.7066 24.3110 27.9908 35.5344 43.2753 51.1719 59.1963 67.3275 0.0002 0.0201 0.1148 0.2971 0.5543 0.8721 1.2390 1.6465 2.0879 2.5582 3.0535 3.5706 4.1069 4.6604 5.2294 5.8122 6.4077 7.0149 7.6327 8.2604 8.8972 9.5425 10.1957 10.8563 11.5240 12.1982 12.8785 13.5647 14.2564 14.9535 18.5089 22.1642 25.9012 29.7067 37.4848 45.4417 53.5400 61.7540 70.0650 0.0010 0.0506 0.2158 0.4844 0.8312 1.2373 1.6899 2.1797 2.7004 3.2470 3.8157 4.4038 5.0087 5.6287 6.2621 6.9077 7.5642 8.2307 8.9065 9.5908 10.2829 10.9823 11.6885 12.4011 13.1197 13.8439 14.5734 15.3079 16.0471 16.7908 20.5694 24.4331 28.3662 32.3574 40.4817 48.7575 57.1532 65.6466 74.2219 0.0039 0.1026 0.3518 0.7107 1.1455 1.6354 2.1673 2.7326 3.3251 3.9403 4.5748 5.2260 5.8919 6.5706 7.2609 7.9616 8.6718 9.3904 10.1170 10.8508 11.5913 12.3380 13.0905 13.8484 14.6114 15.3792 16.1514 16.9279 17.7084 18.4927 22.4650 26.5093 30.6123 34.7642 43.1880 51.7393 60.3915 69.1260 77.9294 0.0158 2.7055 3.8415 5.0239 6.6349 7.8794 0.2107 4.6052 5.9915 7.3778 9.2104 10.5965 0.5844 6.2514 7.8147 9.3484 11.3449 12.8381 1.0636 7.7794 9.4877 11.1433 13.2767 14.8602 1.6103 9.2363 11.0705 12.8325 15.0863 16.7496 2.2041 10.6446 12.5916 14.4494 16.8119 18.5475 2.8331 12.0170 14.0671 16.0128 18.4753 20.2777 3.4895 13.3616 15.5073 17.5345 20.0902 21.9549 4.1682 14.6837 16.9190 19.0228 21.6660 23.5893 4.8652 15.9872 18.3070 20.4832 23.2093 25.1881 5.5778 17.2750 19.6752 21.9200 24.7250 26.7569 6.3038 18.5493 21.0261 23.3367 26.2170 28.2997 7.0415 19.8119 22.3620 24.7356 27.6882 29.8193 7.7895 21.0641 23.6848 26.1189 29.1412 31.3194 8.5468 22.3071 24.9958 27.4884 30.5780 32.8015 9.3122 23.5418 26.2962 28.8453 31.9999 34.2671 10.0852 24.7690 27.5871 30.1910 33.4087 35.7184 10.8649 25.9894 28.8693 31.5264 34.8052 37.1564 11.6509 27.2036 30.1435 32.8523 36.1908 38.5821 12.4426 28.4120 31.4104 34.1696 37.5663 39.9969 13.2396 29.6151 32.6706 35.4789 38.9322 41.4009 14.0415 30.8133 33.9245 36.7807 40.2894 42.7957 14.8480 32.0069 35.1725 38.0756 41.6383 44.1814 15.6587 33.1962 36.4150 39.3641 42.9798 45.5584 16.4734 34.3816 37.6525 40.6465 44.3140 46.9280 17.2919 35.5632 38.8851 41.9231 45.6416 48.2898 18.1139 36.7412 40.1133 43.1945 46.9628 49.6450 18.9392 37.9159 41.3372 44.4608 48.2782 50.9936 19.7677 39.0875 42.5569 45.7223 49.5878 52.3355 20.5992 40.2560 43.7730 46.9792 50.8922 53.6719 24.7966 46.0588 49.8018 53.2033 57.3420 60.2746 29.0505 51.8050 55.7585 59.3417 63.6908 66.7660 33.3504 57.5053 61.6562 65.4101 69.9569 73.1660 37.6886 63.1671 67.5048 71.4202 76.1538 79.4898 46.4589 74.3970 79.0820 83.2977 88.3794 91.9518 55.3289 85.5270 90.5313 95.0231 100.4251 104.2148 64.2778 96.5782 101.8795 106.6285 112.3288 116.3209 73.2911 107.5650 113.1452 118.1359 124.1162 128.2987 82.3581 118.4980 124.3421 129.5613 135.8069 140.1697 Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 25 of 28 FALL 2005 Critical Values of F, A = .05 ν1 NUMERATOR DEGREES OF FREEDOM 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 40 60 120 Inf 1 2 3 4 5 6 7 8 9 10 161.45 199.50 215.71 224.58 230.16 233.99 236.77 238.88 240.54 241.88 18.51 19.00 19.16 19.25 19.30 19.33 19.35 19.37 19.38 19.40 10.13 9.55 9.28 9.12 9.01 8.94 8.89 8.85 8.81 8.79 7.71 6.94 6.59 6.39 6.26 6.16 6.09 6.04 6.00 5.96 6.61 5.79 5.41 5.19 5.05 4.95 4.88 4.82 4.77 4.74 5.99 5.14 4.76 4.53 4.39 4.28 4.21 4.15 4.10 4.06 5.59 4.74 4.35 4.12 3.97 3.87 3.79 3.73 3.68 3.64 5.32 4.46 4.07 3.84 3.69 3.58 3.50 3.44 3.39 3.35 5.12 4.26 3.86 3.63 3.48 3.37 3.29 3.23 3.18 3.14 4.96 4.10 3.71 3.48 3.33 3.22 3.14 3.07 3.02 2.98 4.84 3.98 3.59 3.36 3.20 3.09 3.01 2.95 2.90 2.85 4.75 3.89 3.49 3.26 3.11 3.00 2.91 2.85 2.80 2.75 4.67 3.81 3.41 3.18 3.03 2.92 2.83 2.77 2.71 2.67 4.60 3.74 3.34 3.11 2.96 2.85 2.76 2.70 2.65 2.60 4.54 3.68 3.29 3.06 2.90 2.79 2.71 2.64 2.59 2.54 4.49 3.63 3.24 3.01 2.85 2.74 2.66 2.59 2.54 2.49 4.45 3.59 3.20 2.96 2.81 2.70 2.61 2.55 2.49 2.45 4.41 3.55 3.16 2.93 2.77 2.66 2.58 2.51 2.46 2.41 4.38 3.52 3.13 2.90 2.74 2.63 2.54 2.48 2.42 2.38 4.35 3.49 3.10 2.87 2.71 2.60 2.51 2.45 2.39 2.35 4.32 3.47 3.07 2.84 2.68 2.57 2.49 2.42 2.37 2.32 4.30 3.44 3.05 2.82 2.66 2.55 2.46 2.40 2.34 2.30 4.28 3.42 3.03 2.80 2.64 2.53 2.44 2.37 2.32 2.27 4.26 3.40 3.01 2.78 2.62 2.51 2.42 2.36 2.30 2.25 4.24 3.39 2.99 2.76 2.60 2.49 2.40 2.34 2.28 2.24 4.23 3.37 2.98 2.74 2.59 2.47 2.39 2.32 2.27 2.22 4.21 3.35 2.96 2.73 2.57 2.46 2.37 2.31 2.25 2.20 4.20 3.34 2.95 2.71 2.56 2.45 2.36 2.29 2.24 2.19 4.18 3.33 2.93 2.70 2.55 2.43 2.35 2.28 2.22 2.18 4.17 3.32 2.92 2.69 2.53 2.42 2.33 2.27 2.21 2.16 4.08 3.23 2.84 2.61 2.45 2.34 2.25 2.18 2.12 2.08 4.00 3.15 2.76 2.53 2.37 2.25 2.17 2.10 2.04 1.99 3.92 3.07 2.68 2.45 2.29 2.18 2.09 2.02 1.96 1.91 3.84 3.00 2.60 2.37 2.21 2.10 2.01 1.94 1.88 1.83 DENOMINATOR DEGREES OF FREEDOM ν2 Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 26 of 28 FALL 2005 Critical Values of F, A = .05 (Continued) ν1 DENOMINATOR DEGREES OF FREEDOM ν2 NUMERATOR DEGREES OF FREEDOM 10 12 15 20 24 30 40 60 120 Inf 1 241.88 243.90 245.95 248.02 249.05 250.10 251.14 252.20 253.25 254.32 2 19.40 19.41 19.43 19.45 19.45 19.46 19.47 19.48 19.49 19.50 3 8.79 8.74 8.70 8.66 8.64 8.62 8.59 8.57 8.55 8.53 4 5.96 5.91 5.86 5.80 5.77 5.75 5.72 5.69 5.66 5.63 5 4.74 4.68 4.62 4.56 4.53 4.50 4.46 4.43 4.40 4.37 6 4.06 4.00 3.94 3.87 3.84 3.81 3.77 3.74 3.70 3.67 7 3.64 3.57 3.51 3.44 3.41 3.38 3.34 3.30 3.27 3.23 8 3.35 3.28 3.22 3.15 3.12 3.08 3.04 3.01 2.97 2.93 9 3.14 3.07 3.01 2.94 2.90 2.86 2.83 2.79 2.75 2.71 10 2.98 2.91 2.85 2.77 2.74 2.70 2.66 2.62 2.58 2.54 11 2.85 2.79 2.72 2.65 2.61 2.57 2.53 2.49 2.45 2.40 12 2.75 2.69 2.62 2.54 2.51 2.47 2.43 2.38 2.34 2.30 13 2.67 2.60 2.53 2.46 2.42 2.38 2.34 2.30 2.25 2.21 14 2.60 2.53 2.46 2.39 2.35 2.31 2.27 2.22 2.18 2.13 15 2.54 2.48 2.40 2.33 2.29 2.25 2.20 2.16 2.11 2.07 16 2.49 2.42 2.35 2.28 2.24 2.19 2.15 2.11 2.06 2.01 17 2.45 2.38 2.31 2.23 2.19 2.15 2.10 2.06 2.01 1.96 18 2.41 2.34 2.27 2.19 2.15 2.11 2.06 2.02 1.97 1.92 19 2.38 2.31 2.23 2.16 2.11 2.07 2.03 1.98 1.93 1.88 20 2.35 2.28 2.20 2.12 2.08 2.04 1.99 1.95 1.90 1.84 21 2.32 2.25 2.18 2.10 2.05 2.01 1.96 1.92 1.87 1.81 22 2.30 2.23 2.15 2.07 2.03 1.98 1.94 1.89 1.84 1.78 23 2.27 2.20 2.13 2.05 2.01 1.96 1.91 1.86 1.81 1.76 24 2.25 2.18 2.11 2.03 1.98 1.94 1.89 1.84 1.79 1.73 25 2.24 2.16 2.09 2.01 1.96 1.92 1.87 1.82 1.77 1.71 26 2.22 2.15 2.07 1.99 1.95 1.90 1.85 1.80 1.75 1.69 27 2.20 2.13 2.06 1.97 1.93 1.88 1.84 1.79 1.73 1.67 28 2.19 2.12 2.04 1.96 1.91 1.87 1.82 1.77 1.71 1.65 29 2.18 2.10 2.03 1.94 1.90 1.85 1.81 1.75 1.70 1.64 30 2.16 2.09 2.01 1.93 1.89 1.84 1.79 1.74 1.68 1.62 40 2.08 2.00 1.92 1.84 1.79 1.74 1.69 1.64 1.58 1.51 60 1.99 1.92 1.84 1.75 1.70 1.65 1.59 1.53 1.47 1.39 120 1.91 1.83 1.75 1.66 1.61 1.55 1.50 1.43 1.35 1.25 Inf 1.83 1.75 1.67 1.57 1.52 1.46 1.39 1.32 1.22 1.00 Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 27 of 28 FALL 2005 Critical Values of F, A = .025 v1 v2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 40 50 60 120 ∞ NUMERATOR DEGREES OF FREEDOM 1 647.8 38.51 17.44 12.22 10.01 8.81 8.07 7.57 7.21 6.94 6.72 6.55 6.41 6.3 6.2 6.12 6.04 5.98 5.92 5.87 5.83 5.79 5.75 5.72 5.69 5.66 5.63 5.61 5.59 5.57 5.42 5.34 5.29 5.15 5.02 2 799.5 39 16.04 10.65 8.43 7.26 6.54 6.06 5.71 5.46 5.26 5.1 4.97 4.86 4.77 4.69 4.62 4.56 4.51 4.46 4.42 4.38 4.35 4.32 4.29 4.27 4.24 4.22 4.2 4.18 4.05 3.97 3.93 3.8 3.69 3 864.2 39.17 15.44 9.98 7.76 6.6 5.89 5.42 5.08 4.83 4.63 4.47 4.35 4.24 4.15 4.08 4.01 3.95 3.9 3.86 3.82 3.78 3.75 3.72 3.69 3.67 3.65 3.63 3.61 3.59 3.46 3.39 3.34 3.23 3.12 4 899.6 39.25 15.1 9.6 7.39 6.23 5.52 5.05 4.72 4.47 4.28 4.12 4 3.89 3.8 3.73 3.66 3.61 3.56 3.51 3.48 3.44 3.41 3.38 3.35 3.33 3.31 3.29 3.27 3.25 3.13 3.05 3.01 2.89 2.79 5 921.8 39.3 14.88 9.36 7.15 5.99 5.29 4.82 4.48 4.24 4.04 3.89 3.77 3.66 3.58 3.5 3.44 3.38 3.33 3.29 3.25 3.22 3.18 3.15 3.13 3.1 3.08 3.06 3.04 3.03 2.9 2.83 2.79 2.67 2.57 6 937.1 39.33 14.73 9.2 6.98 5.82 5.12 4.65 4.32 4.07 3.88 3.73 3.6 3.5 3.41 3.34 3.28 3.22 3.17 3.13 3.09 3.05 3.02 2.99 2.97 2.94 2.92 2.9 2.88 2.87 2.74 2.67 2.63 2.52 2.41 7 948.2 39.36 14.62 9.07 6.85 5.7 4.99 4.53 4.2 3.95 3.76 3.61 3.48 3.38 3.29 3.22 3.16 3.1 3.05 3.01 2.97 2.93 2.9 2.87 2.85 2.82 2.8 2.78 2.76 2.75 2.62 2.55 2.51 2.39 2.29 8 956.6 39.37 14.54 8.98 6.76 5.6 4.9 4.43 4.1 3.85 3.66 3.51 3.39 3.29 3.2 3.12 3.06 3.01 2.96 2.91 2.87 2.84 2.81 2.78 2.75 2.73 2.71 2.69 2.67 2.65 2.53 2.46 2.41 2.3 2.19 9 963.3 39.39 14.47 8.9 6.68 5.52 4.82 4.36 4.03 3.78 3.59 3.44 3.31 3.21 3.12 3.05 2.98 2.93 2.88 2.84 2.8 2.76 2.73 2.7 2.68 2.65 2.63 2.61 2.59 2.57 2.45 2.38 2.33 2.22 2.11 10 968.6 39.4 14.42 8.84 6.62 5.46 4.76 4.3 3.96 3.72 3.53 3.37 3.25 3.15 3.06 2.99 2.92 2.87 2.82 2.77 2.73 2.7 2.67 2.64 2.61 2.59 2.57 2.55 2.53 2.51 2.39 2.32 2.27 2.16 2.05 12 976.7 39.41 14.34 8.75 6.52 5.37 4.67 4.2 3.87 3.62 3.43 3.28 3.15 3.05 2.96 2.89 2.82 2.77 2.72 2.68 2.64 2.6 2.57 2.54 2.51 2.49 2.47 2.45 2.43 2.41 2.29 2.22 2.17 2.05 1.94 Need solutions? Go to... www.statsdoesntsuck.com AK/ADMS 2320.3.0 FINAL EXAMINATION 28 of 28 FALL 2005 Critical Values of F, A = .025 v1 v2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 40 50 60 120 ∞ NUMERATOR DEGREES OF FREEDOM 1 647.8 38.51 17.44 12.22 10.01 8.81 8.07 7.57 7.21 6.94 6.72 6.55 6.41 6.3 6.2 6.12 6.04 5.98 5.92 5.87 5.83 5.79 5.75 5.72 5.69 5.66 5.63 5.61 5.59 5.57 5.42 5.34 5.29 5.15 5.02 2 799.5 39 16.04 10.65 8.43 7.26 6.54 6.06 5.71 5.46 5.26 5.1 4.97 4.86 4.77 4.69 4.62 4.56 4.51 4.46 4.42 4.38 4.35 4.32 4.29 4.27 4.24 4.22 4.2 4.18 4.05 3.97 3.93 3.8 3.69 3 864.2 39.17 15.44 9.98 7.76 6.6 5.89 5.42 5.08 4.83 4.63 4.47 4.35 4.24 4.15 4.08 4.01 3.95 3.9 3.86 3.82 3.78 3.75 3.72 3.69 3.67 3.65 3.63 3.61 3.59 3.46 3.39 3.34 3.23 3.12 4 899.6 39.25 15.1 9.6 7.39 6.23 5.52 5.05 4.72 4.47 4.28 4.12 4 3.89 3.8 3.73 3.66 3.61 3.56 3.51 3.48 3.44 3.41 3.38 3.35 3.33 3.31 3.29 3.27 3.25 3.13 3.05 3.01 2.89 2.79 5 921.8 39.3 14.88 9.36 7.15 5.99 5.29 4.82 4.48 4.24 4.04 3.89 3.77 3.66 3.58 3.5 3.44 3.38 3.33 3.29 3.25 3.22 3.18 3.15 3.13 3.1 3.08 3.06 3.04 3.03 2.9 2.83 2.79 2.67 2.57 6 937.1 39.33 14.73 9.2 6.98 5.82 5.12 4.65 4.32 4.07 3.88 3.73 3.6 3.5 3.41 3.34 3.28 3.22 3.17 3.13 3.09 3.05 3.02 2.99 2.97 2.94 2.92 2.9 2.88 2.87 2.74 2.67 2.63 2.52 2.41 7 948.2 39.36 14.62 9.07 6.85 5.7 4.99 4.53 4.2 3.95 3.76 3.61 3.48 3.38 3.29 3.22 3.16 3.1 3.05 3.01 2.97 2.93 2.9 2.87 2.85 2.82 2.8 2.78 2.76 2.75 2.62 2.55 2.51 2.39 2.29 8 956.6 39.37 14.54 8.98 6.76 5.6 4.9 4.43 4.1 3.85 3.66 3.51 3.39 3.29 3.2 3.12 3.06 3.01 2.96 2.91 2.87 2.84 2.81 2.78 2.75 2.73 2.71 2.69 2.67 2.65 2.53 2.46 2.41 2.3 2.19 9 963.3 39.39 14.47 8.9 6.68 5.52 4.82 4.36 4.03 3.78 3.59 3.44 3.31 3.21 3.12 3.05 2.98 2.93 2.88 2.84 2.8 2.76 2.73 2.7 2.68 2.65 2.63 2.61 2.59 2.57 2.45 2.38 2.33 2.22 2.11 10 968.6 39.4 14.42 8.84 6.62 5.46 4.76 4.3 3.96 3.72 3.53 3.37 3.25 3.15 3.06 2.99 2.92 2.87 2.82 2.77 2.73 2.7 2.67 2.64 2.61 2.59 2.57 2.55 2.53 2.51 2.39 2.32 2.27 2.16 2.05 12 976.7 39.41 14.34 8.75 6.52 5.37 4.67 4.2 3.87 3.62 3.43 3.28 3.15 3.05 2.96 2.89 2.82 2.77 2.72 2.68 2.64 2.6 2.57 2.54 2.51 2.49 2.47 2.45 2.43 2.41 2.29 2.22 2.17 2.05 1.94 Need solutions? 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This note was uploaded on 12/16/2011 for the course ADMS 2320 taught by Professor Rochon during the Spring '08 term at York University.

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