What is the appropriate statistical test to identify any significant difference between Gender groups and patients’ Albumin Levels? Write down the assumptions of the proposed statistical test? Formulate null hypothesis & alternative hypothesis for such an association?
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What is the appropriate statistical test to identify any significant difference between Gender groups and patients’ Albumin Levels? Write down the assumptions of the proposed statistical test? Formulate null hypothesis & alternative hypothesis for such an association?
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- Player RBI HR AVG Salary (in millions) Prince Fielder 44 8 0.212 18.000 Jean Segura 64 20 0.320 2.600 Logan Forsythe 52 20 0.264 2.750 Chris Iannetta 24 7 0.210 4.550 Adam Jones 83 29 0.265 16.000 Curtis Granderson 59 30 0.237 16.000 Jason Heyward 49 7 0.230 21.667 Hanley Ramirez 111 30 0.286 22.750 David Ortiz 127 38 0.315 16.000 Matt Wieters 66 17 0.243 15.800 Colby Rasmus 54 15 0.206 15.800 Rajai Davis 48 12 0.249 5.950 Mike Trout 100 29 0.315 16.083 Troy Tulowitzki 79 24 0.256 20.000 Justin Smoak 34 14 0.217 3.900 Adrian Beltre 104 32 0.300 18.000 Matt Holliday 62 20 0.246 17.000 Hunter Pence 57 13 0.289 18.500 Brian McCann 58 20 0.242 17.000 J.D. Martinez 68 22 0.307 6.750 Ryan Braun 91 31 0.305 20.000 Mark Teixeira 44 15 0.204 23.125 Victor Martinez 86 27 0.289 18.000 Justin Upton 87 31 0.246 22.125 Carlos Gonzalez 100 25 0.298 17.454 Determine the correlation coefficient. (Round your answer to 4 decimal places.) Find the…Number Woman=0 Man= 1 Exam 1 Exam 2 Exam 3 Homework Lab Number grade Letter grade Z-score Absolute z-score 1 0 61 94 76 94 87 82.4 B 0.18 0.18 2 0 99 97 90 100 89 95 A 1.38 1.38 3 0 64 76 69 88 87 76.8 C -0.36 0.36 4 0 77 82 86 98 94 87.4 B 0.66 0.66 5 0 70 89 81 93 97 86 B 0.52 0.52 6 0 67 62 65 60 90 68.8 D -1.13 1.13 7 0 87 83 81 85 68 80.8 B 0.02 0.02 8 0 74 88 65 49 90 73.2 C -0.71 0.71 9 0 91 97 87 81 94 90 A 0.90 0.90 10 0 94 87 77 90 67 83 B 0.23 0.23 11 0 47 72 54 59 63 59 F -2.07 2.07 12 0 81 64 78 84 73 76 C -0.44 0.44 13 0 87 90 81 93 80 86.2 B 0.54 0.54 14 0 96 100 84 97 84 92.2 A 1.12 1.12 15 0 80 76 90 85 85 83.2 B 0.25 0.25 16 0 64 51 69 74 78 67.2 D -1.28 1.28 17 0 70 86 84 77 75 78.4 C -0.21 0.21 18 0 80 93 98 95 98 92.8 A 1.17 1.17 19 0 88 83 83 90 84 85.6 B 0.48 0.48 20 0 52 46 62 70 59 57.8 F -2.19 2.19 21 0 97 83 83 85 98 89.2 B 0.83 0.83 22 1 80 74 90 83 65 78.4 C -0.21 0.21 23 1 86 81 72 85 97 84.2 B 0.35 0.35…Number Woman=0 Man=0 Exam 1 Exam 2 Exam 3 Homework Lab Number grade Letter grade Z-score Absolute z-score 1 0 61 94 76 94 87 82.4 B 0.18 0.18 2 0 99 97 90 100 89 95 A 1.38 1.38 3 0 64 76 69 88 87 76.8 C -0.36 0.36 4 0 77 82 86 98 94 87.4 B 0.66 0.66 5 0 70 89 81 93 97 86 B 0.52 0.52 6 0 67 62 65 60 90 68.8 D -1.13 1.13 7 0 87 83 81 85 68 80.8 B 0.02 0.02 8 0 74 88 65 49 90 73.2 C -0.71 0.71 9 0 91 97 87 81 94 90 A 0.90 0.90 10 0 94 87 77 90 67 83 B 0.23 0.23 11 0 47 72 54 59 63 59 F -2.07 2.07 12 0 81 64 78 84 73 76 C -0.44 0.44 13 0 87 90 81 93 80 86.2 B 0.54 0.54 14 0 96 100 84 97 84 92.2 A 1.12 1.12 15 0 80 76 90 85 85 83.2 B 0.25 0.25 16 0 64 51 69 74 78 67.2 D -1.28 1.28 17 0 70 86 84 77 75 78.4 C -0.21 0.21 18 0 80 93 98 95 98 92.8 A 1.17 1.17 19 0 88 83 83 90 84 85.6 B 0.48 0.48 20 0 52 46 62 70 59 57.8 F -2.19 2.19 21 0 97 83 83 85 98 89.2 B 0.83 0.83 22 1 80 74 90 83 65 78.4 C -0.21 0.21 23 1 86 81 72 85 97 84.2 B 0.35 0.35…
- city pop avginc pctstu rent 1 77759 19568 23.17031 342 2 141865 31885 20.98403 496 3 42099 21202 24.383 351 4 46209 29044 39.32784 588 5 110330 56307 16.5005 925 6 132605 35103 11.45658 630 7 83312 29407 29.77842 521 8 87758 26826 24.35903 422 9 130474 25811 14.57149 568 10 84770 21077 30.70308 383 11 124773 23453 27.23346 444 12 45734 14286 40.2239 347 13 63502 22967 33.18006 422 14 73233 22346 20.32827 636 15 60633 18393 49.28999 403 16 71305 19353 22.15693 325 17 47198 24636 45.79643 404 18 59738 24565 39.35184 414 19 65608 22900 34.30679 415 20 37712 21531 32.41143 396 21 40641 20043 17.43559 332 22 219531 21898 13.36167 354 23 95802 33140 25.43162 538 24 50677 24719 63.23184 451 25 80277 23207 22.8596 403 26 109592 33344 32.91664 568 27 48812 24004 24.35672 399 28 41882 21174 20.77981 304 29 69101 22059 32.07768 382 30 191972 28056 15.42725 379 31 62126 23648 14.48991 366 32 29541 25152 55.38404 493 33 101082 17738…city pop avginc pctstu rent 1 77759 19568 23.17031 342 2 141865 31885 20.98403 496 3 42099 21202 24.383 351 4 46209 29044 39.32784 588 5 110330 56307 16.5005 925 6 132605 35103 11.45658 630 7 83312 29407 29.77842 521 8 87758 26826 24.35903 422 9 130474 25811 14.57149 568 10 84770 21077 30.70308 383 11 124773 23453 27.23346 444 12 45734 14286 40.2239 347 13 63502 22967 33.18006 422 14 73233 22346 20.32827 636 15 60633 18393 49.28999 403 16 71305 19353 22.15693 325 17 47198 24636 45.79643 404 18 59738 24565 39.35184 414 19 65608 22900 34.30679 415 20 37712 21531 32.41143 396 21 40641 20043 17.43559 332 22 219531 21898 13.36167 354 23 95802 33140 25.43162 538 24 50677 24719 63.23184 451 25 80277 23207 22.8596 403 26 109592 33344 32.91664 568 27 48812 24004 24.35672 399 28 41882 21174 20.77981 304 29 69101 22059 32.07768 382 30 191972 28056 15.42725 379 31 62126 23648 14.48991 366 32 29541 25152 55.38404 493 33 101082 17738…obs GPA HSM HSS HSE SATM SATCR SATW sex 1 3.84 10 10 10 630 570 590 2 2 3.97 10 10 10 750 700 630 1 3 3.49 8 10 9 570 510 490 2 4 1.95 6 4 8 640 600 610 1 5 2.59 8 10 9 510 490 490 2 6 3 7 10 10 660 680 630 1 7 1.78 9 9 9 630 490 510 1 8 2.41 6 6 7 670 620 610 1 9 2.83 9 8 10 550 570 540 2 10 0.6 7 7 9 640 720 630 1 11 3.98 10 10 10 630 560 540 2 12 1.52 8 8 7 650 550 460 1 13 2.82 10 10 9 610 540 490 2 14 3.09 10 10 10 670 330 540 1 15 3.79 9 10 10 550 580 560 2 16 3.2 9 10 9 580 490 420 2 17 3.62 10 10 10 720 620 570 1 18 1.74 10 9 6 780 540 620 1 19 2.02 7 5 6 660 520 600 1 20 2.29 10 10 10 690 750 680 1 21 3.13 10 10 9 660 620 590 2 22 2.96 8 9 6 660 670 750 1 23 4 10 10 10 640 620 620 2 24 2.89 8 7 8 620 610 570 1 25 3.95 10 10 10 770 780 760 1 26 1.71 10 10 8 800 750 650 1 27 3.23 8 8 8 650 590 480 1 28 2.07 8 8 8 570 560 560 1 29 1.29 2 6 8 480 490 650 2 30 4 10 10 10 630 630 620 2 31 2.94 9 10 10 490 510 490 1 32…
- Local Official in Lincoln Weekly Working Hours Local Official in Omaha Weekly Working Hours 1 42 1 44 2 40 2 43 3 39 3 39 4 39 4 45 5 38 5 42 6 39 6 42 7 40 7 40 8 39 8 37 9 42 9 39 10 37 10 38 11 39 11 41 12 38 12 39 13 38 13 37 14 37 14 45 15 37 15 40 16 38 16 37 17 40 17 38 18 37 18 41 19 41 19 45 20 37 20 42 21 38 21 38 22 40 22 44 23 38 23 39 24 39 24…Player Salary PC TD Age1 25.5566 65.2 28 272 22.0441 60.5 27 263 20.5000 62.3 27 284 19.0047 66.1 26 385 17.0000 67.9 29 286 15.0052 55 16 277 14.0057 68.8 33 338 12.9895 70.6 34 309 12.5073 60.3 22 3310 12.0000 68.4 33 4011 11.2554 48.8 3 2412 9.5000 60.5 21 2913 8.6018 63.1 21 2414 8.6000 64.7 30 2615 8.5000 60.9 15 3116 8.0073 65.7 28 3217 7.9073 58.3 22 2418 7.7516 66.6 26 2719 6.5073 56.7 5 3220 6.3250 55.5 8 3421 6.2562 60 17 3422 4.0073 60.5 18 2523 3.1000 53.3 13 2124 2.9956 55.9 9 2725 2.8648 64.5 20 2726 2.5450 53.8 12 2327 2.1673 58.7 10 2628 2.0079 53.1 8 2529 1.3800 54.5 10 2130 1.0950 62.1 21 2731 0.9503…Suppose a researcher is interested in investigating the effectiveness of a new medication aimed to treat HIV. The following table represents the CD4 cell count for a SRS of individuals treated with the new medication. Patient CD4 Patient CD4 Patient CD4 Count(cells/mm3) Count(cells/mm3) Count(cells/mm3) A 298 G 311 M 312 B 306 H 304 N 296 C 278 I 275 O 347 D 304 J 291 P 367 E 315 K 286 Q 275 F 320 L 333 R 281 Assuming the researchers hypothesized that the new medication would increase to at least 400 cells/mm , use your CI to answer the question as to whether or not the researchers met their goal.
- On-Time Performance by Airlines According to the Bureau of Transportation statistics, on-time performance by the airlines is described as follows: Action % of time On time 70.8 National Aviation System delay 8.2 Aircraft arriving late 9.0 Other (because of weather andother conditions) 12.0 Records of 200 flights for a major airline company showed that 148 planes were on time;24 were delayed because of weather, 8 because of a National Aviation System delay, and the rest because of arriving late. At =α0.05, do these results differ from the government's statistics? Part: 0 / 5 0 of 5 Parts Complete Part 1 of 5 Identify the claim with the correct hypothesis. H0: On-time performance by airlines is distributed as follows: 70. 8% on-time,8.2% National Aviation System delay, 9.0% aircraft arriving late, and 12.0% other. ▼(Choose one) H1 : The distribution is not the same as stated in the null hypothesis. ▼(Choose…AGE (x) PA (y) x^2 Y^2 XY 20 120 400 14400 2400 43 128 1849 16384 5504 63 141 3969 19881 8883 26 126 676 15876 3276 53 134 2809 17956 7102 31 128 961 16384 3968 58 136 3364 18496 7888 46 132 2116 17424 6072 58 140 3364 19600 8120 70 144 4900 20736 10080 468 1329 24408 177137 63293 2) Find the correlation between age and blood pressure using Pearson's correlation coefficient and comment on the nature and strength of the coefficient 3) Make the scatter plot 4) Find the regression equation 5) What is the predictable blood pressure for a 20 year old man? 6) Plot the regression line thanks for everything, I only need point 5 and 6AGE (x) PA (y) x^2 Y^2 XY 20 120 400 14400 2400 43 128 1849 16384 5504 63 141 3969 19881 8883 26 126 676 15876 3276 53 134 2809 17956 7102 31 128 961 16384 3968 58 136 3364 18496 7888 46 132 2116 17424 6072 58 140 3364 19600 8120 70 144 4900 20736 10080 468 1329 24408 177137 63293 2) Find the correlation between age and blood pressure using Pearson's correlation coefficient and comment on the nature and strength of the coefficient 3) Make the scatter plot 4) Find the regression equation 5) What is the predictable blood pressure for a 20 year old man? 6) Plot the regression line