Use the permutation design to test the hypothesis that the population mean for the GPA data in the admission.csv data set is equal 3.4.Compare the result you get to the R t.test function output.

admission.csv DATA - Link: https://www.dropbox.com/s/s53xnakk95tcdph/admission.csv?dl=0

GPA GMAT De 2.96 596 admit 3.14 473 admit 3.22 482 admit 3.29 527 admit 3.69 505 admit 3.46 693 admit 3.03 626 admit 3.19 663 admit 3.63 447 admit 3.59 588 admit 3.3 563 admit 3.4 553 admit 3.5 572 admit 3.78 591 admit 3.44 692 admit 3.48 528 admit 3.47 552 admit 3.35 520 admit 3.39 543 admit 3.28 523 admit 3.21 530 admit 3.58 564 admit 3.33 565 admit 3.4 431 admit 3.38 605 admit 3.26 664 admit 3.6 609 admit 3.37 559 admit 3.8 521 admit 3.76 646 admit 3.24 467 admit 2.54 446 notadmit 2.43 425 notadmit 2.2 474 notadmit 2.36 531 notadmit 2.57 542 notadmit 2.35 406 notadmit 2.51 412 notadmit 2.51 458 notadmit 2.36 399 notadmit 2.36 482 notadmit 2.66 420 notadmit 2.68 414 notadmit 2.48 533 notadmit 2.46 509 notadmit 2.63 504 notadmit 2.44 336 notadmit 2.13 408 notadmit 2.41 469 notadmit 2.55 538 notadmit 2.31 505 notadmit 2.41 489 notadmit 2.19 411 notadmit 2.35 321 notadmit 2.6 394 notadmit 2.55 528 notadmit 2.72 399 notadmit 2.85 381 notadmit 2.9 384 notadmit 2.86 494 border 2.85 496 border 3.14 419 border 3.28 371 border 2.89 447 border 3.15 313 border 3.5 402 border 2.89 485 border 2.8 444 border 3.13 416 border 3.01 471 border 2.79 490 border 2.89 431 border 2.91 446 border 2.75 546 border 2.73 467 border 3.12 463 border 3.08 440 border 3.03 419 border 3 509 border 3.03 438 border 3.05 399 border 2.85 483 border 3.01 453 border 3.03 414 border 3.04 446 border