The test score data from the sample of trainees are as follows:1. Was the knowledge (test score) of participants from class A and class B before training less than 65? Use the significance level = 0.05, and assume that the variances of the two classes are the same. Sample1N34567 00289101112Before trainingClass AClass B606265606656686066584858725868596265665545566059After trainingClass A666268597074706868687568Class B606065586866686050587358

Given information: μ=65n=24α=0.05

The test score data from the sample of trainees are as follows: 1. Was the knowledge (test score) of participants from class A and class B before training less than 65? Use the significance level = 0.05, and assume that the variances of the two classes are the same.

The test score data from the sample of trainees are as follows: 1. Was the knowledge (test score) of participants from class A and class B before training less than 65? Use the significance level = 0.05, and assume that the variances of the two classes are the same.

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter10: Sequences, Series, And Probability

Section10.2: Arithmetic Sequences

Problem 51E

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Student ID Math Score Project Score Age (years) Sex 001254 52 75 15 M 003256 78 89 15 F 001547 92 82 18 F 012589 91 66 17 M 021475 72 93 14 M 032658 46 76 13 M 009561 68 76 14 F 008654 52 82 12 F 008561 83 75 16 M 003547 45 78 14 F 047452 73 96 14 M 041212 64 79 13 F 032320 41 67 13 F 000258 77 72 15 F 001478 82 75 17 M 019521 59 83 15 M 017451 80 71 17 F 016335 48 76 13 M 002474 57 80 14 F 095844 97 71 18 F 097304 86 86 17 M 090024 75 85 15 F 034702 81 80 16 F 001910 67 74 14 F 006454 86 77 17 M 087478 63 82 13 M 078474 68 79 14 F 000977 54 89 12 M 063010 91 73 18 M 007406 46 77 15 F 025740 93 85 17 M…
Student ID Math Score Project Score Age (years) Sex 001254 52 75 15 M 003256 78 89 15 F 001547 92 82 18 F 012589 91 66 17 M 021475 72 93 14 M 032658 46 76 13 M 009561 68 76 14 F 008654 52 82 12 F 008561 83 75 16 M 003547 45 78 14 F 047452 73 96 14 M 041212 64 79 13 F 032320 41 67 13 F 000258 77 72 15 F 001478 82 75 17 M 019521 59 83 15 M 017451 80 71 17 F 016335 48 76 13 M 002474 57 80 14 F 095844 97 71 18 F 097304 86 86 17 M 090024 75 85 15 F 034702 81 80 16 F 001910 67 74 14 F 006454 86 77 17 M 087478 63 82 13 M 078474 68 79 14 F 000977 54 89 12 M 063010 91 73 18 M 007406 46 77 15 F 025740 93 85 17 M…
Student ID Math Score Project Score Age (years) Sex 001254 52 75 15 M 003256 78 89 15 F 001547 92 82 18 F 012589 91 66 17 M 021475 72 93 14 M 032658 46 76 13 M 009561 68 76 14 F 008654 52 82 12 F 008561 83 75 16 M 003547 45 78 14 F 047452 73 96 14 M 041212 64 79 13 F 032320 41 67 13 F 000258 77 72 15 F 001478 82 75 17 M 019521 59 83 15 M 017451 80 71 17 F 016335 48 76 13 M 002474 57 80 14 F 095844 97 71 18 F 097304 86 86 17 M 090024 75 85 15 F 034702 81 80 16 F 001910 67 74 14 F 006454 86 77 17 M 087478 63 82 13 M 078474 68 79 14 F 000977 54 89 12 M 063010 91 73 18 M 007406 46 77 15 F 025740 93 85 17 M…
A twin study was performed on the relationship between bone density and cigarette consumption. Forty-one pairs of middle-aged female twins who were discordant for tobacco consumption (had different smoking histories) were enrolled in a study and invited to visit a hospital for a measurement of bone density. Tobacco consumption was expressed in terms of pack-years. One pack-year is defined as 1 pack of cigarettes per day (usually about 20 cigarettes per pack) consumed for 1 year. One advantage of using twins in a study such as this is that genetic influences on bone density are inherently controlled for. To analyze the data, the investigators first identified the heavier- and lighter-smoking twins in terms of pack-years. The lighter-smoking twin usually had 0 pack-years (indicating she had never smoked) or occasionally either smoked very few cigarettes per day and/or smoked for only a short time. The researchers then looked at the difference in bone-mineral density (BMD) (calculated by…
Weight City MPG 3968 20 3583 22 3470 22 3527 23 3990 18 4724 17 3692 21 3315 22 3616 20 5527 14 3719 16 3097 26 3800 19 3532 25 2269 31 5674 15 3402 20 4029 19 3996 19 3242 23 2434 31 2575 29 2960 27 3618 15 4054 19 3192 24 3305 23 3605 19 4240 15 3933 18 3633 19 3790 17 3477 20 3258 21 4685 17 2776 25 2615 24 3186 21 5137 13 3461 21 4233 16 4178 18 4702 17 3713 22 5794 14 2306 28 3194 26 3428 22 4894 12 4751 17 2605 29 3296 25 5267 13 2789 25 3570 19 4011 18 2363 27 4398 15 2806 25 2127 36 2665 27 3419 24 3427 24 3280 25 5765 13 3465 24 2295 30 3038 22 3070 25 4711 17 3230 24 3528 21 4667 16 SUMMARY OUTPUT Regression Statistics Multiple R 0.894328844 R Square 0.799824082 Adjusted R Square 0.797004703 Standard Error 2.238112689…
Salary 77600 76000 90700 97200 90700 101800 78700 81300 84200 97600 77500 75700 89400 84300 78700 84600 87700 103400 83800 101300 94700 69200 95400 61500 68800
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19 Males Females85 7877 9648 5760 6850 5562 8155 7876 8651 8864 5572 3760 6563 8680 7780 7863 6468 6398 7840 6283 6770 8462 8375 6870 7655 8466 8953 8779 9272 9066 9566 6897 9060 8064 8157 7459 5565 10171 7484 7858 79
8487 74 8179 82 8362 81 8220 81 6246 87 9100 66 6561 68 5873 81 7993 74 7932 82 6491 75 6816 82 9639 78 4595 84 5037 82 4427 79 6226 78 10768 73 8335 77 12311 65 10104 77 10503 76 7562 79 8593 79 7133 78 10205 84 14016 78 5959 81 3764 89 4297 85 7562 77 4844 74 5777 80 3599 84 3219 88 11187 75 2105 77 6650 78 11371 61 4517 91 7348 83 5696 77 4995 85 9248 70 6860 88 9776 80 4280 82 11154 82 3442 82 9674 70 7309 64 4530 79 4017 83 7122 77 5689 76 6109 80 3343 84 5029 82 4330 81 5425 74 8769 81 6880 76 6538 78 6521 78 9423 79 9697 83 3805 79 3134 83 3433 81 2979 84 6836 64 5804 67 7986 75 10994 73 11322 77 8937 64 8807 75 11087 80 10355 83 7858 85 3632 91 8040 88…
8487 74 8179 82 8362 81 8220 81 6246 87 9100 66 6561 68 5873 81 7993 74 7932 82 6491 75 6816 82 9639 78 4595 84 5037 82 4427 79 6226 78 10768 73 8335 77 12311 65 10104 77 10503 76 7562 79 8593 79 7133 78 10205 84 14016 78 5959 81 3764 89 4297 85 7562 77 4844 74 5777 80 3599 84 3219 88 11187 75 2105 77 6650 78 11371 61 4517 91 7348 83 5696 77 4995 85 9248 70 6860 88 9776 80 4280 82 11154 82 3442 82 9674 70 7309 64 4530 79 4017 83 7122 77 5689 76 6109 80 3343 84 5029 82 4330 81 5425 74 8769 81 6880 76 6538 78 6521 78 9423 79 9697 83 3805 79 3134 83 3433 81 2979 84 6836 64 5804 67 7986 75 10994 73 11322 77 8937 64 8807 75 11087 80 10355 83 7858 85 3632 91 8040 88…