Reference no: EM13290894
1. Use these five age values 25, 38, 28, 23, 26
a. Calculate the mean, median, and standard deviation. Note that this is sample data (every data set you will see this semester is a sample), so use the appropriate formulae. Do all of these calculations "by hand", and show your work for possible partial credit.
b. Use PROC MEANS to obtain the mean and standard deviation. Turn in the printout, and highlight these two statistics. To "highlight", underline, put in bold, or something else that clearly makes these statistics stand out.
2. Use the heart beat data:
No drug: 293 297 300 302 306 311 312 314 318 320 322 323 324
324 326 327 331 333 335 339 342 345 345 351 356
Drug: 330 331 335 337 339 343 346 349
350 358 364 369 375 387 398 403
a. Enter all 41 observations into a SAS data set. Each line of data should have two variables, one that indicates whether or not the person is on the drug, and one that gives the number of heart beats in 5 minutes. Thus, your program should begin with something like one of the two examples below:
data two; data two;
input drug$ beats; input drug$ beats @@;
lines; lines;
no 293 no 293 no 297 (etc.)
no 297
(etc.)
b. Use PROC SORT to sort the data by drug use (even if it's already be sorted when you enter it), then run PROC UNIVARIATE (with the PLOT and PCTLDEF=4 options) by drug. Thus, you will have a BY statement that corresponds to PROC SORT, and another BY statement that corresponds to PROC UNIVARIATE. Turn in the printouts for both groups, and on the printout for those who are not using the drug, highlight 7 statistics - the mean, standard deviation, and the 5 statistics that make up the 5-number summary.
c. State two numbers - one for each group - that indicate which group has more variation.
d. Is the data for those who are using the drug symmetric, positively skewed, or negatively skewed? Give number(s) from the printout that support your decision.
3. Use the REACTIONTIME data.
data reactiontime;
input stimulus$ sex$ age time$ IQ reaction;
lines;
visual female 47 AM 115 393
visual male 76 PM 99 592
auditory male 24 AM 119 408
tactile male 68 PM 97 512
visual female 27 AM 118 297
visual male 25 AM 128 341
auditory female 33 PM 116 405
tactile female 26 AM 90 539
visual male 22 PM 109 495
visual female 24 AM 101 360
tactile female 43 PM 110 544
visual female 76 AM 97 573
visual female 45 AM 109 500
tactile male 31 AM 114 269
visual male 44 PM 107 385
tactile male 42 AM 108 606
tactile female 36 AM 100 487
auditory female 29 PM 116 449
auditory male 60 AM 135 552
visual female 61 PM 119 508
auditory female 57 PM 116 510
auditory male 60 AM 117 580
auditory female 56 PM 118 457
visual female 64 PM 104 493
auditory female 78 PM 115 703
auditory female 38 AM 95 495
auditory male 25 AM 102 336
visual female 44 PM 104 429
visual male 35 AM 123 270
tactile female 75 AM 109 704
visual male 36 AM 126 251
tactile female 22 AM 107 394
auditory female 39 PM 114 478
auditory male 42 AM 125 425
visual male 64 AM 103 467
auditory female 47 AM 105 436
auditory female 75 AM 85 506
auditory female 25 AM 109 407
visual male 64 AM 120 539
tactile male 43 PM 119 489
tactile female 34 AM 119 414
visual female 22 PM 117 405
tactile male 52 AM 92 405
visual female 53 PM 110 498
visual male 57 PM 100 444
visual male 21 AM 111 212
visual female 23 PM 104 298
tactile female 67 AM 94 588
tactile female 32 PM 114 352
auditory male 57 PM 107 647
auditory female 55 AM 119 603
tactile female 80 PM 107 700
tactile male 41 AM 119 471
tactile male 21 AM 119 446
tactile female 63 PM 113 537
visual male 46 AM 94 475
visual female 54 PM 112 366
visual female 55 PM 112 474
visual male 66 AM 111 587
visual male 33 AM 118 396
tactile male 74 AM 99 531
auditory male 31 PM 116 460
auditory female 65 AM 86 495
auditory female 51 PM 120 527
visual male 38 PM 96 422
auditory female 29 AM 103 442
visual male 60 AM 111 356
visual female 78 AM 107 365
tactile male 68 PM 102 634
visual male 27 AM 93 381
visual female 46 AM 108 408
tactile male 32 AM 122 504
visual male 64 AM 118 477
visual female 42 AM 111 403
auditory female 55 AM 111 450
visual female 69 PM 102 528
visual male 59 PM 129 454
tactile male 77 AM 100 665
visual female 51 PM 119 498
auditory female 59 AM 109 484
visual male 30 AM 115 357
auditory female 27 PM 107 327
tactile female 64 AM 130 475
visual male 50 PM 108 479
visual male 51 PM 95 512
tactile female 46 AM 112 545
tactile female 58 PM 100 585
auditory male 27 AM 122 492
auditory female 60 AM 92 644
auditory male 51 AM 111 383
visual male 76 AM 105 492
auditory male 22 AM 109 381
tactile female 46 AM 106 359
tactile male 74 AM 97 602
auditory female 78 AM 103 543
auditory male 30 PM 114 341
tactile female 59 AM 110 668
visual female 48 PM 88 597
auditory female 43 AM 110 472
visual female 49 PM 115 436
auditory female 65 AM 122 511
visual female 69 AM 103 576
visual male 45 PM 112 339
tactile male 49 PM 127 625
visual male 55 PM 115 428
visual male 27 PM 110 422
visual male 75 PM 114 428
visual male 60 PM 115 597
visual male 51 AM 110 498
tactile male 54 AM 103 525
visual male 66 PM 107 593
visual male 56 AM 100 423
tactile female 37 AM 105 434
auditory female 60 AM 97 445
tactile female 41 PM 117 573
auditory female 43 PM 91 440
tactile male 52 PM 113 627
visual female 73 AM 113 502
tactile female 53 PM 111 541
tactile female 72 PM 121 572
tactile female 33 AM 117 448
visual female 33 PM 108 510
visual male 36 AM 115 420
tactile male 34 AM 102 603
auditory male 39 PM 113 393
auditory male 73 AM 99 455
tactile male 38 PM 110 439
auditory male 41 PM 114 460
tactile female 50 AM 110 416
visual female 70 AM 92 532
visual male 76 AM 109 522
visual male 68 AM 125 538
auditory male 63 PM 106 538
auditory male 47 PM 108 450
tactile male 62 AM 111 569
auditory female 23 PM 116 350
auditory female 78 AM 108 492
auditory female 79 PM 106 657
visual female 40 PM 102 456
auditory female 42 PM 123 478
auditory male 40 PM 110 398
tactile male 54 AM 118 544
visual male 66 AM 119 494
visual female 78 AM 103 561
tactile female 26 AM 122 419
auditory male 40 PM 122 344
visual female 63 AM 107 393
visual male 24 PM 105 359
auditory female 60 PM 130 456
tactile male 38 PM 125 257
tactile female 32 AM 106 452
auditory female 45 AM 126 364
auditory male 27 PM 131 441
auditory female 73 AM 124 558
tactile male 38 AM 110 485
auditory female 69 AM 110 529
tactile female 53 AM 107 611
tactile female 40 AM 104 541
auditory female 66 AM 116 510
visual male 68 PM 109 682
tactile male 57 PM 100 503
visual female 41 PM 99 456
auditory female 40 PM 103 534
visual male 79 AM 108 483
auditory male 26 PM 104 465
tactile male 71 PM 102 622
visual female 64 PM 120 522
auditory female 72 AM 99 440
tactile male 48 AM 120 549
visual female 24 AM 110 242
auditory female 45 PM 111 463
visual male 34 AM 120 352
visual female 68 AM 104 480
auditory male 67 PM 115 542
visual female 78 AM 123 498
tactile female 33 AM 105 416
tactile female 50 PM 116 607
tactile female 62 AM 122 437
visual male 64 AM 108 415
auditory female 64 AM 106 490
tactile male 44 PM 93 603
visual male 47 AM 104 494
visual female 66 AM 117 387
auditory female 78 PM 114 573
visual male 24 AM 120 281
tactile male 61 AM 114 489
visual female 75 PM 117 527
tactile male 39 PM 124 356
visual male 80 PM 109 563
auditory female 47 AM 117 380
auditory male 31 AM 111 512
tactile male 33 AM 105 534
visual female 43 PM 103 431
auditory female 33 AM 110 498
tactile male 33 AM 109 491
visual male 66 PM 101 573
auditory female 41 PM 116 388
visual male 78 AM 110 570
tactile male 55 AM 115 514
visual male 22 AM 103 370
visual female 59 AM 101 374
tactile male 26 AM 116 345
visual female 50 PM 96 432
auditory male 72 AM 102 475
visual male 46 AM 111 499
auditory male 43 AM 97 462
visual female 52 AM 88 457
tactile male 79 PM 117 575
auditory female 39 PM 107 465
visual male 77 AM 116 373
auditory female 66 AM 103 646
tactile male 56 PM 107 596
visual male 47 PM 125 438
auditory female 60 PM 132 545
visual female 44 AM 107 359
auditory male 55 AM 114 549
auditory male 51 AM 119 389
auditory male 52 PM 108 363
visual male 77 PM 112 637
visual female 37 AM 117 347
auditory male 74 PM 120 594
visual male 42 AM 114 395
visual female 48 PM 100 599
tactile male 46 PM 107 419
auditory female 76 PM 121 524
visual male 46 AM 108 394
auditory female 32 PM 104 531
auditory female 68 AM 112 406
tactile female 30 PM 110 350
visual male 70 PM 105 591
auditory female 44 PM 116 496
visual female 65 PM 99 573
auditory male 27 PM 105 462
auditory male 70 PM 114 678
tactile male 61 PM 110 576
visual male 29 PM 118 389
auditory female 67 AM 99 524
tactile male 31 AM 110 403
tactile female 41 PM 111 504
visual male 73 PM 109 628
tactile female 38 PM 92 389
tactile male 57 PM 108 495
visual female 62 AM 101 450
visual female 53 AM 77 501
tactile female 50 PM 106 412
tactile male 78 AM 119 433
visual female 75 AM 99 540
tactile male 55 PM 109 573
auditory female 57 PM 98 560
visual female 77 AM 116 513
visual male 44 AM 120 395
visual female 80 PM 103 523
visual male 28 AM 114 360
tactile male 63 PM 110 595
tactile female 80 AM 113 822
tactile male 52 AM 104 405
visual female 73 AM 113 528
visual male 21 AM 116 232
visual female 75 AM 112 505
visual female 65 PM 103 561
visual female 58 PM 101 459
visual male 50 PM 111 399
auditory female 39 PM 115 482
This data set contains six variables: the type of stimulus (auditory, tactile, or visual) to which the person reacted, sex, age, the time of day (AM or PM) the reading was taken, the person's IQ, and the reaction time (in milliseconds). For the following, turn in the results of the SAS procedures that you are instructed to run. You will also have to answer a few other questions, using the printout.
a. Use PROC FREQ to get frequencies for the three categorical variables - stimulus type, sex, and time of day.
b. Use PROC FREQ to get a two-way frequency table of stimulus type by sex. From this, answer the following questions for this data:
i. What proportion of the sample is female?
ii. What proportion of the sample had a visual stimulus?
iii. Looking only at those with an auditory stimulus, what proportion is male?
iv. Looking only at females, what proportion had a tactile stimulus?
c. Create a categorical variable that divides IQ into three groups: less than 100, between 100 and 120 (inclusive), and greater than 120 (use coding similar to that done in lesson #9, when creating an age group variable). Then, use PROC FREQ to get frequencies for this variable.
d. Use PROC MEANS to get statistics on age.
e. Create a new variable which is reaction time in seconds (divide the reaction time variable in the data set by 1000). Then use PROC MEANS to get the following statistics for this variable: sample size, mean, standard deviation, Q1, median, and Q3.
f. Use PROC UNIVARIATE, with the PCTLDEF=4 option, to get statistics on IQ. Use the numeric variable, not the new categorical variable defined in part (c).
g. Using the PROC UNIVARIATE printout from part (f), state the following statistics:
i. the 10th percentile (or '10% Quantile')
ii. the next-to-largest observation
iii. the variance
iv. the interquartile range (IQR)
h. Use PROC SORT and PROC MEANS (each with BY statements) to get statistics on the original reaction time, separately for the three stimulus types. Comment on how the means compare for the three stimulus types.
i. Use PROC MEANS and a WHERE statement to get information about age, for AM times only.