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Confidence Interval ExplanationHere is one sample from the
before data. Hit <F9> to get a new sample.Samples from the
after data of size 100 are taken and the mean is found. This is
repeated 1000 times to get a sampling distribution. The normal
distribution which has mean equal to the mean of the after data
and standard deviation equal to the standard deviation of the
after data divided by the square root of the number of samples,
this is the SE, is shown in the background. The 95% confidence
interval is indicated by the red coloring on the normal
distribution, this is (mean - 1.96*SE, mean + 1.96*SE). The
meaning should be clear, about 95% of the sampling distribution
should occur in this interval.Here is one sample from the after
data. Hit <F9> to get a new sample.Mean of sampling
distribution: 68.67Standard Deviation of Sampling Dist:
2.2653681696Here is another perspective. 100 samples were
drawn from the After Data. A 95% CI was created for each. We
should expect 95% of these CI's to contain the true population
mean. Hit <F9> to regenerate.%CI's that contain the
mean:95%Each CI is formed by finding the mean (M) of the
sample and then the standard deviation of the sample (SD). SE
is computed as SD/sqrt(# of samples). The CI is computed as (M
- 1.96*SE, M + 1.96*SE)A good intuition for the CI: The mean
is a point estimate. You take a sample of the population, take
the sample mean and use this as an estimate for the population
mean. Why should this estimate be any good, after all, you just
have one random sample. The CI is an interval estimate, a 95%
CI is an interval obtained from a sample and you interpret this
as: "I am 95% certain that the actual population mean is in the
interval." You are not predicting a specific mean for the
population, instead you are finding an interval of possible
values for the population mean and you are able to quantify how
certain you are that the true population mean is inside that
interval.
Before 0 5 10 15 20 25 30 35 40 45 50
55 60 65 70 75 80 85 90 95 100 >
100 8 0 0 0 0 0 0 0 0 0 0
2 7 9 15 12 15 12 1 7 0
After 0 5 10 15 20 25 30 35 40 45 50
55 60 65 70 75 80 85 90 95 100 >
100 3 0 0 0 0 0 0 4 0 9 1
14 9 9 8 4 8 8 2 2 4
1000 mean counts for samples of size 100
Normal [58…59) [59…60) [60…61) [61…62) [62…63)
[63…64) [64…65) [65…66) [66…67) [67…68)
[68…69) [69…70) [70…71) [71…72) [72…73)
[73…74) [74…75) [75…76) [76…77)
8.8282100460376246E-4 3.2511886833645805E-3
9.9506075746811154E-3 2.5311569538967453E-2
5.3514487353852808E-2 9.404236616752075E-2
0.13736899363605978 0.16679222763955848
0.16834082053343802 0.14123093325896996
9.8490150107868657E-2 5.7091288445204835E-2
2.7507319198796232E-2 1.1015681848986936E-2
3.66639108202782E-3 1.0141604168724117E-3
2.331245989 1799975E-4 4.4530088049832273E-5
7.067586755726829E-6 Mean Counts [58…59)
[59…60) [60…61) [61…62) [62…63) [63…64)
[64…65) [65…66) [66…67) [67…68) [68…69)
[69…70) [70…71) [71…72) [72…73) [73…74)
[74…75) [75…76) [76…77) 2E-3
6.0000000000000001E-3 1.7000000000000001E-2
3.6999999999999998E-2 7.0000000000000007E-2 0.126
0.155 0.16300000000000001 0.16700000000000001
0.127 6.7000000000000004E-2
4.2999999999999997E-2 1.2999999999999999E-2
5.0000000000000001E-3 2E-3 0 0 0 0 CI 0
0 0 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0
0 0 0 0 0 0 0
100 CI's computed from Samples of size 100 from the After
Data
Hi 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 31 32 33 34 35 36
37 38 39 40 41 42 43 44 45 46 47 48
49 50 51 52 53 54 55 56 57 58 59 60
61 62 63 64 65 66 67 68 69 70 71 72
73 74 75 76 77 78 79 80 81 82 83 84
85 86 87 88 89 90 91 92 93 94 95 96
97 98 99 100 101 102 103 104 105 106 107
108 109 110 111 112 113 114 115 116 117 118
119 120 121 122 123 124 125 126 127 128 129
130 131 132 133 134 135 136 137 138 139 140
141 142 143 144 145 146 147 148 149 150 151
152 153 154 155 156 157 158 159 160 161 162
163 164 165 166 167 168 169 170 171 172 173
174 175 176 177 178 179 180 181 182 183 184
185 186 187 188 189 190 191 192 193 194 195
196 197 198 199 200 201 202 203 204 205 206
207 208 209 210 211 212 213 214 215 216 217
218 219 220 221 222 223 224 225 226 227 228
229 230 231 232 233 234 235 236 237 238 239
240 241 242 243 244 245 246 247 248 249 250
251 252 253 254 255 256 257 258 259 260 261
262 263 264 265 266 267 268 269 270 271 272
273 274 275 276 277 278 279 280 281 282 283
284 285 286 287 288 289 290 291 292 293 294
295 296 297 298 299 300 301 302 303 304 305
306 307 308 309 310 311 312 313 314 315 316
317 318 319 320 321 322 323 324 325 326 327
328 329 330 331 332 333 334 335 336 337 338
339 340 341 342 343 344 345 346 347 348 349
350 351 352 353 354 355 356 357 358 359 360
361 362 363 364 365 366 367 368 369 370 371
372 373 374 375 376 377 378 379 380 381 382
383 384 385 386 387 388 389 390 391 392 393
394 395 396 397 398 399 400 401 402 403 404
405 406 407 408 409 410 411 412 413 414 415
416 417 418 419 420 421 422 423 424 425 426
427 428 429 430 431 432 433 434 435 436 437
438 439 440 441 442 443 444 445 446 447 448
449 450 451 452 453 454 455 456 457 458 459
460 461 462 463 464 465 466 467 468 469 470
471 472 473 474 475 476 477 478 479 480 481
482 483 484 485 486 487 488 489 490 491 492
493 494 495 496 497 498 499 500 501 502 503
504 505 506 507 508 509 510 511 512 513 514
515 516 517 518 519 520 521 522 523 524 525
526 527 528 529 530 531 532 533 534 535 536
537 538 539 540 541 542 543 544 545 546 547
548 549 550 551 552 553 554 555 556 557 558
559 560 561 562 563 564 565 566 567 568 569
570 571 572 573 574 575 576 577 578 579 580
581 582 583 584 585 586 587 588 589 590 591
592 593 594 595 596 597 598 599 600 601 602
603 604 605 606 607 608 609 610 611 612 613
614 615 616 617 618 619 620 621 622 623 624
625 626 627 628 629 630 631 632 633 634 635
636 637 638 639 640 641 642 643 644 645 646
647 648 649 650 651 652 653 654 655 656 657
658 659 660 661 662 663 664 665 666 667 668
669 670 671 672 673 674 675 676 677 678 679
680 681 682 683 684 685 686 687 688 689 690
691 692 693 694 695 696 697 698 699 700 701
702 703 704 705 706 707 708 709 710 711 712
713 714 715 716 717 718 719 720 721 722 723
724 725 726 727 728 729 730 731 732 733 734
735 736 737 738 739 740 741 742 743 744 745
746 747 748 749 750 751 752 753 754 755 756
757 758 759 760 761 762 763 764 765 766 767
768 769 770 771 772 773 774 775 776 777 778
779 780 781 782 783 784 785 786 787 788 789
790 791 792 793 794 795 796 797 798 799 800
801 802 803 804 805 806 807 808 809 810 811
812 813 814 815 816 817 818 819 820 821 822
823 824 825 826 827 828 829 830 831 832 833
834 835 836 837 838 839 840 841 842 843 844
845 846 847 848 849 850 851 852 853 854 855
856 857 858 859 860 861 862 863 864 865 866
867 868 869 870 871 872 873 874 875 876 877
878 879 880 881 882 883 884 885 886 887 888
889 890 891 892 893 894 895 896 897 898 899
900 901 902 903 904 905 906 907 908 909 910
911 912 913 914 915 916 917 918 919 920 921
922 923 924 925 926 927 928 929 930 931 932
933 934 935 936 937 938 939 940 941 942 943
944 945 946 947 948 949 950 951 952 953 954
955 956 957 958 959 960 961 962 963 964 965
966 967 968 969 970 971 972 973 974 975 976
977 978 979 980 981 982 983 984 985 986 987
988 989 990 991 992 993 994 995 996 997 998
999 1000 66.887020548718198 62.117403114261322
60.23817363967725 57.616774611816453
59.863542630923803 60.916585382190426
61.321113334517229 59.452041939943385
60.461444739182483 64.063068557636214
58.353090378411359 58.566334199649219
64.746458607791396 61.133793693805245
60.778722123433845 63.576032131148743
64.182400966698296 60.660221428944901
61.616847872567149 60.322375064525218
55.112876763876258 63.6900636842023
59.18295647076107 60.530156779648138
62.255456642607797 61.23180561028822
62.039275289587756 60.720883587276653
58.847991256336591 59.336532023501263
60.397018028653761 59.839809321036029
55.645212700 364809 61.815174184250338
63.839584391439921 58.344439632372435
56.015914898276733 55.863639381754922
57.877356196184884 61.532228882789809
59.758548902664103 62.612685899216615
61.603085811022261 63.833033348865001
63.194591136015283 60.076517023354675
56.887331533655548 62.808890489057816
60.654859054864609 61.794288564508221
62.854827345330946 62.020304597165875
60.317918111366701 62.562060291277547
58.072756179412607 61.104651896677431
61.462700981463804 64.904616388321003
60.369294989450808 57.479550817442075
61.523214535905524 61.443941082827891
60.430448212799853 60.831617709036905
59.94355001405961 65.158346224695919
63.304784383182295 60.89373769411813
61.620487162090321 56.59944949558632
59.666870486057292 55.943888992812738
58.759673315252492 58.352734537832376
62.076601769041226 60.957162237516251
57.509604257739106 62.333945947280284
60.326167906267322 63.561456973279988
58.150529880506724 59.276560151033962
60.806537846263041 58.273024320736006
60.261993756271146 58.242385427711973
61.986486942229071 59.524467660454441
61.291218757689045 56.975599744597623
59.278045944505848 58.093790927601887
59.534553890147144 60.512378292407874
67.161193490147909 62.694301457043537
60.78669331124641 59.946856607732535
62.141332632501161 LOW 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 31 32 33 34 35 36 37 38 39 40 41
42 43 44 45 46 47 48 49 50 51 52 53
54 55 56 57 58 59 60 61 62 63 64 65
66 67 68 69 70 71 72 73 74 75 76 77
78 79 80 81 82 83 84 85 86 87 88 89
90 91 92 93 94 95 96 97 98 99 100
101 102 103 104 105 106 107 108 109 110 111
112 113 114 115 116 117 118 119 120 121 122
123 124 125 126 127 128 129 130 131 132 133
134 135 136 137 138 139 140 141 142 143 144
145 146 147 148 149 150 151 152 153 154 155
156 157 158 159 160 161 162 163 164 165 166
167 168 169 170 171 172 173 174 175 176 177
178 179 180 181 182 183 184 185 186 187 188
189 190 191 192 193 194 195 196 197 198 199
200 201 202 203 204 205 206 207 208 209 210
211 212 213 214 215 216 217 218 219 220 221
222 223 224 225 226 227 228 229 230 231 232
233 234 235 236 237 238 239 240 241 242 243
244 245 246 247 248 249 250 251 252 253 254
255 256 257 258 259 260 261 262 263 264 265
266 267 268 269 270 271 272 273 274 275 276
277 278 279 280 281 282 283 284 285 286 287
288 289 290 291 292 293 294 295 296 297 298
299 300 301 302 303 304 305 306 307 308 309
310 311 312 313 314 315 316 317 318 319 320
321 322 323 324 325 326 327 328 329 330 331
332 333 334 335 336 337 338 339 340 341 342
343 344 345 346 347 348 349 350 351 352 353
354 355 356 357 358 359 360 361 362 363 364
365 366 367 368 369 370 371 372 373 374 375
376 377 378 379 380 381 382 383 384 385 386
387 388 389 390 391 392 393 394 395 396 397
398 399 400 401 402 403 404 405 406 407 408
409 410 411 412 413 414 415 416 417 418 419
420 421 422 423 424 425 426 427 428 429 430
431 432 433 434 435 436 437 438 439 440 441
442 443 444 445 446 447 448 449 450 451 452
453 454 455 456 457 458 459 460 461 462 463
464 465 466 467 468 469 470 471 472 473 474
475 476 477 478 479 480 481 482 483 484 485
486 487 488 489 490 491 492 493 494 495 496
497 498 499 500 501 502 503 504 505 506 507
508 509 510 511 512 513 514 515 516 517 518
519 520 521 522 523 524 525 526 527 528 529
530 531 532 533 534 535 536 537 538 539 540
541 542 543 544 545 546 547 548 549 550 551
552 553 554 555 556 557 558 559 560 561 562
563 564 565 566 567 568 569 570 571 572 573
574 575 576 577 578 579 580 581 582 583 584
585 586 587 588 589 590 591 592 593 594 595
596 597 598 599 600 601 602 603 604 605 606
607 608 609 610 611 612 613 614 615 616 617
618 619 620 621 622 623 624 625 626 627 628
629 630 631 632 633 634 635 636 637 638 639
640 641 642 643 644 645 646 647 648 649 650
651 652 653 654 655 656 657 658 659 660 661
662 663 664 665 666 667 668 669 670 671 672
673 674 675 676 677 678 679 680 681 682 683
684 685 686 687 688 689 690 691 692 693 694
695 696 697 698 699 700 701 702 703 704 705
706 707 708 709 710 711 712 713 714 715 716
717 718 719 720 721 722 723 724 725 726 727
728 729 730 731 732 733 734 735 736 737 738
739 740 741 742 743 744 745 746 747 748 749
750 751 752 753 754 755 756 757 758 759 760
761 762 763 764 765 766 767 768 769 770 771
772 773 774 775 776 777 778 779 780 781 782
783 784 785 786 787 788 789 790 791 792 793
794 795 796 797 798 799 800 801 802 803 804
805 806 807 808 809 810 811 812 813 814 815
816 817 818 819 820 821 822 823 824 825 826
827 828 829 830 831 832 833 834 835 836 837
838 839 840 841 842 843 844 845 846 847 848
849 850 851 852 853 854 855 856 857 858 859
860 861 862 863 864 865 866 867 868 869 870
871 872 873 874 875 876 877 878 879 880 881
882 883 884 885 886 887 888 889 890 891 892
893 894 895 896 897 898 899 900 901 902 903
904 905 906 907 908 909 910 911 912 913 914
915 916 917 918 919 920 921 922 923 924 925
926 927 928 929 930 931 932 933 934 935 936
937 938 939 940 941 942 943 944 945 946 947
948 949 950 951 952 953 954 955 956 957 958
959 960 961 962 963 964 965 966 967 968 969
970 971 972 973 974 975 976 977 978 979 980
981 982 983 984 985 986 987 988 989 990 991
992 993 994 995 996 997 998 999 1000
73.812979451281791 69.68259688573869
68.941826360322764 67.163225388183548
68.336457369076186 70.243414617809577
70.818886665482751 67.947958060056621
69.178555260817504 72.836931442363792
67.386909621588629 68.573665800350781
72.333541392208616 70.406206306194747
71.081277876566176 71.40396786885124
71.797599033301694 69.539778571055081
69.923152127432843 69.097624935474769
65.367123236123746 72.269936315797707
69.057043529238939 70.249843220351863
71.044543357392214 70.348194389711793
70.760724710412262 69.77911641272334
68.392008743663411 68.043467976498732
69.202981971346233 68.680190678963982
66.174787299635184 69.564825815749657
72.820415608560083 65.895560367627567
65.044085101723269 64.916360618245079
67.502643803815104 69.527771117210193
68.801451097335899 70.707314100783378
71.016914188977751 71.046966651134994
71.685408863984719 69.12348297664532
66.552668466344443 71.711109510942194
68.665140945135391 70.96571143549177
69.985172654669057 71.059695402834137
68.122081888633289 71.637939708722442
66.707243820587394 68.155348103322552
69.997299018536197 72.375383611678998
70.130705010549192 67.580449182557928
70.396785464094464 70.536058917172099
68.749551787200161 69.5683822909631
68.656449985940384 73.801653775304089
72.195215616817705 70.006262305881876
71.439512837909689 67.780550504413668
69.753129513942696 66.696111007187255
67.960326684747514 68.267265462167629
70.663398230958791 69.942837762483748
66.970395742260891 70.746054052719728
69.993832093732664 71.598543026720009
67.569470119493275 68.14343984896604
69.133462153736957 68.206975679263991
70.378006243728834 67.037614572288021
71.313513057770933 69.175532339545555
70.388781242310955 65.564400255402376
68.321954055494146 68.70620907239811
68.465446109852849 70.007621707592136
75.398806509852093 71.705698542956469
70.413306688753579 69.693143392267459
70.258667367498845 Population Mean 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 31 32 33 34 35 36 37 38 39
40 41 42 43 44 45 46 47 48 49 50 51
52 53 54 55 56 57 58 59 60 61 62 63
64 65 66 67 68 69 70 71 72 73 74 75
76 77 78 79 80 81 82 83 84 85 86 87
88 89 90 91 92 93 94 95 96 97 98 99
100 101 102 103 104 105 106 107 108 109 110
111 112 113 114 115 116 117 118 119 120 121
122 123 124 125 126 127 128 129 130 131 132
133 134 135 136 137 138 139 140 141 142 143
144 145 146 147 148 149 150 151 152 153 154
155 156 157 158 159 160 161 162 163 164 165
166 167 168 169 170 171 172 173 174 175 176
177 178 179 180 181 182 183 184 185 186 187
188 189 190 191 192 193 194 195 196 197 198
199 200 201 202 203 204 205 206 207 208 209
210 211 212 213 214 215 216 217 218 219 220
221 222 223 224 225 226 227 228 229 230 231
232 233 234 235 236 237 238 239 240 241 242
243 244 245 246 247 248 249 250 251 252 253
254 255 256 257 258 259 260 261 262 263 264
265 266 267 268 269 270 271 272 273 274 275
276 277 278 279 280 281 282 283 284 285 286
287 288 289 290 291 292 293 294 295 296 297
298 299 300 301 302 303 304 305 306 307 308
309 310 311 312 313 314 315 316 317 318 319
320 321 322 323 324 325 326 327 328 329 330
331 332 333 334 335 336 337 338 339 340 341
342 343 344 345 346 347 348 349 350 351 352
353 354 355 356 357 358 359 360 361 362 363
364 365 366 367 368 369 370 371 372 373 374
375 376 377 378 379 380 381 382 383 384 385
386 387 388 389 390 391 392 393 394 395 396
397 398 399 400 401 402 403 404 405 406 407
408 409 410 411 412 413 414 415 416 417 418
419 420 421 422 423 424 425 426 427 428 429
430 431 432 433 434 435 436 437 438 439 440
441 442 443 444 445 446 447 448 449 450 451
452 453 454 455 456 457 458 459 460 461 462
463 464 465 466 467 468 469 470 471 472 473
474 475 476 477 478 479 480 481 482 483 484
485 486 487 488 489 490 491 492 493 494 495
496 497 498 499 500 501 502 503 504 505 506
507 508 509 510 511 512 513 514 515 516 517
518 519 520 521 522 523 524 525 526 527 528
529 530 531 532 533 534 535 536 537 538 539
540 541 542 543 544 545 546 547 548 549 550
551 552 553 554 555 556 557 558 559 560 561
562 563 564 565 566 567 568 569 570 571 572
573 574 575 576 577 578 579 580 581 582 583
584 585 586 587 588 589 590 591 592 593 594
595 596 597 598 599 600 601 602 603 604 605
606 607 608 609 610 611 612 613 614 615 616
617 618 619 620 621 622 623 624 625 626 627
628 629 630 631 632 633 634 635 636 637 638
639 640 641 642 643 644 645 646 647 648 649
650 651 652 653 654 655 656 657 658 659 660
661 662 663 664 665 666 667 668 669 670 671
672 673 674 675 676 677 678 679 680 681 682
683 684 685 686 687 688 689 690 691 692 693
694 695 696 697 698 699 700 701 702 703 704
705 706 707 708 709 710 711 712 713 714 715
716 717 718 719 720 721 722 723 724 725 726
727 728 729 730 731 732 733 734 735 736 737
738 739 740 741 742 743 744 745 746 747 748
749 750 751 752 753 754 755 756 757 758 759
760 761 762 763 764 765 766 767 768 769 770
771 772 773 774 775 776 777 778 779 780 781
782 783 784 785 786 787 788 789 790 791 792
793 794 795 796 797 798 799 800 801 802 803
804 805 806 807 808 809 810 811 812 813 814
815 816 817 818 819 820 821 822 823 824 825
826 827 828 829 830 831 832 833 834 835 836
837 838 839 840 841 842 843 844 845 846 847
848 849 850 851 852 853 854 855 856 857 858
859 860 861 862 863 864 865 866 867 868 869
870 871 872 873 874 875 876 877 878 879 880
881 882 883 884 885 886 887 888 889 890 891
892 893 894 895 896 897 898 899 900 901 902
903 904 905 906 907 908 909 910 911 912 913
914 915 916 917 918 919 920 921 922 923 924
925 926 927 928 929 930 931 932 933 934 935
936 937 938 939 940 941 942 943 944 945 946
947 948 949 950 951 952 953 954 955 956 957
958 959 960 961 962 963 964 965 966 967 968
969 970 971 972 973 974 975 976 977 978 979
980 981 982 983 984 985 986 987 988 989 990
991 992 993 994 995 996 997 998 999 1000 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55 65.55 65.55 65.55 65.55
65.55 65.55
Histogrammin58.8158LowHiIntervalCumFreqFreqmax72.67735
758[57…58)000.00024322710.00024322710delta15859[58…59)
20.0020.00112604810.00088282105960[59…60)80.0060.004377
23680.003251188706061[60…61)250.0170.01432784440.00995
060760.016162[61…62)620.0370.03963941390.02531156950.01
6263[62…63)1320.070.09315390130.05351448740.016364[63
…64)2580.1260.18719626740.09404236620.016465[64…65)41
30.1550.32456526110.13736899360.016566[65…66)5760.1630.
49135748870.16679222760.016667[66…67)7430.1670.6596983
0920.16834082050.0168.676768[67…68)8700.1270.8009292425
0.14123093330.012.26536816966869[68…69)9370.0670.899419
39260.09849015010.016970[69…70)9800.0430.95651068110.05
7091288407071[70…71)9930.0130.98401800030.027507319206
5.557172[71…72)9980.0050.99503368210.011015681802.30784
236117273[72…73)10000.0020.99870007320.003666391107374
[73…74)100000.99971423360.001014160407475[74…75)10000
0.99994735820.000233124607576[75…76)100000.99999188830
.000044530107677[76…77)100000.99999895590.00000706760
1000 mean counts for samples of size 100
Normal [58…59) [59…60) [60…61) [61…62) [62…63)
[63…64) [64…65) [65…66) [66…67) [67…68)
[68…69) [69…70) [70…71) [71…72) [72…73)
[73…74) [74…75) [75…76) [76…77)
8.8282100460376246E-4 3.2511886833645805E-3
9.9506075746811154E-3 2.5311569538967453E-2
5.3514487353852808E-2 9.404236616752075E-2
0.13736899363605978 0.16679222763955848
0.16834082053343802 0.14123093325896996
9.8490150107868657E-2 5.7091288445204835E-2
2.7507319198796232E-2 1.1015681848986936E-2
3.66639108202782E-3 1.0141604168724117E-3
2.331245989 1799975E-4 4.4530088049832273E-5
7.067586755726829E-6 Mean Counts [58…59)
[59…60) [60…61) [61…62) [62…63) [63…64)
[64…65) [65…66) [66…67) [67…68) [68…69)
[69…70) [70…71) [71…72) [72…73) [73…74)
[74…75) [75…76) [76…77) 2E-3
6.0000000000000001E-3 1.7000000000000001E-2
3.6999999999999998E-2 7.0000000000000007E-2 0.126
0.155 0.16300000000000001 0.16700000000000001
0.127 6.7000000000000004E-2
4.2999999999999997E-2 1.2999999999999999E-2
5.0000000000000001E-3 2E-3 0 0 0 0 CI 0
0 0 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0
0 0 0 0 0 0 0
WaterSafetyDataBefore wells were dugAfter wells were dug -
Villager provided samplesAfter wells were dug - Team collected
samplesE. coli per
milliliter in
drinking water
Windows User: these need to be between 0 and 150 and the unit
is millions of bacteria per mlliliter E. coli per
milliliter in
drinking waterE. coli per
milliliter in
drinking
water0Mean0Mean0Mean0074.65065.55000Median0Median0Me
dian000000SD54085719.18457661245914160461176361241632
16232648465676579663865817039664670416687715867587241
67647492676774506770747268237551694779122695950696052
70725970378470681007249367364697310062733552736163734
57474706274895274588975795775805875615575619575589376
39827668807669317673517799687773507710760785997789736
78918479604279357379587879689779668080401148020308050
76808252806686818770815339818498816258815886817280821
02468287658337608385508467558482478463628473828484878
44778859040857753857374858612085738085768786857186709
58789788749838792628891818855648872758859708889819056
11890869090995192687493925895898496495297678699107107
ChartsFirst sample of 100Second sample of 100Sample of 20
Hypothesis Testt-Test: Two-Sample Assuming Unequal
VariancesSamples before
wellsAll samples
after
wellsMean74.736.8Variance368.01243.5Observations100120Hy
pothesized Mean Difference0df190t Stat10.10P-value for one-
tail< 0.001t Critical one-tail1.65P-value for two-tail< 0.001t
Critical two-tail1.97
AfterSamples73598286897267873967102059585992687361681
07854573455868082586847817349046866886236070645985589
77358878235100995861735839107846873862382371028668848
65882378179588999726168406864674945928970102705345706
04777646870588701077087726689494963605807310787848461
77073818770798297594670618987735392923587676090806872
82859768586459800894085458658738139668984896185099616
68755856059676189058871079785923549807347738499066239
27310785707373100207387878070875891642035721076139694
98963730680206440668561396160918289100728966618569696
89172765668102731075873728408785605910787865868559749
84849237728658917249677745687392605881585397588458597
27091721007270733567645003566638489474708564690876073
59707959586149978762580856049728647806755845873476092
89081829170818287709058107799159678684404758976410706
14958696785999182686653814677697347209237725872607391
50082848168613568508577726863469135593792731078961100
45100685884379723466164600219973854961898470738467731
07924799596789477285597767595982858956591076858917255
39701077386734973810049725491675359707789107700476792
49916164928255458982100496885206879848540560599249878
98537495959828482617267645923597391676186820900918676
23688549734970846099688760846770801078961541072060795
87358867258738946045595886817205870682158645882687246
89674779396464766153467958100796735591078585995050020
76613782353963591025966737358722135915846677967107675
95823606187495858796258676461847708560457366929984689
08989568953676060850586689212072598766208968899963237
25886846084860738150709185497300868573697392678999685
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74789468661608959686458853759637392569958021890538672
04710085090878756495837586889995937462073705960566355
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02135467361070616855618586073102739259102508767796170
60825061998579686869854673204567687268913573107739781
45620400814661595810704992664537728299102919947775984
10273625659376963494073737249848710737821008973397661
68678684633535918180600588785797370806189606149726310
07276631005361705607299705891586710262374635107477067
68376190617373974549816172625882877350828602173583989
59798179596864769070235847827392862182614972496491994
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05859586749102735577102494972557347617768911075463868
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97677273357246596939535864496868618047705010780610586
06789878437596658664955047796358614972037828559998989
64465986899256927973766070891008749907045867367895810
22072599158611003968238647849192689959467207073996687
73662099726399892166845562463587558446767284394676898
55467615310292895923619173858787405945204585778680107
46928777736723596259591075873679761100604561467055899
98084726059645923377747598584590359749077842137474987
68591078905454615991089398745895959458968598707370214
04789726958677259846053594755107585059668963102584770
92357361841027756676884916866466623592010037586960616
98479586073588187799270584610787616061464973897081996
04784848287035628568598955638945776899709189878247677
07363828486777379628710073845877566435107876476390615
87677089588689724992397268721007047590728561896479775
53970906761994084797070465889687079706884618485676192
61729147107814923587389700734923649207370615367896077
81673992549953706172239947876646102102558966896189869
11079210761677337875949698560476147736497847373491021
07999946676755646046585910089566710258499161565889473
74661100477950817273646982107686989845691727785107707
37091816192827372915991377987846986876050667720720805
35992598599876060920637370793787463573815980908667897
31077092608973608908485928654876739617087725070848672
58476737912187791077937408759684792919260724684058801
07677085040735392214061777385100678720895961735963683
75969879220236405966583547738468736855465973407349594
53784648670731076868731075970791006768708223689989219
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97961531004679846779207356238697720685858617779725853
85868673874656825672724679679158102877972919068859766
49734968064921075620738937477972614992794621855870809
18658466139647373061681077386585867107587368867366549
78658683773587250598991816959892173625849358958235859
10045021613973102394949376170591027364626710772615986
85897361595892478167586623849164815687913799704691392
19068646082735992070497689778258616072678070795691618
53749583992927389107912389851079749550678521671075089
66736092231001026053736977585963767977876749467068102
37497068472186726189588766725599858664474770867259876
63589826859976792736910764588437818547565664664982701
02547972646868357967598985666739617262399137608564850
76398764865910273358984353759855587765860686873894047
86799289494758541008058874962676170067706191727267586
76858459173458270912089679758467379107678672854589701
00998972737987492061496873568449676892595658845049866
88590761077389586192846747637076992389851007367685921
90688506158877381668772677791686110791618999602368586
17049596156909946928747616184993521646856925872378221
56861073749561025849073908949063617267894964738985466
86050682389006910786102817647814954909069734991686159
61558992062766086910697084587691995967454939100725958
73396086478459978189898466796487553568351073546613510
73740403576722339737758536420497358475985608747378485
89238989726869925891842168841076658585862613570584967
10282588264661076861646499729173350462359697289595592
89453553477292536968678582490869970587935684586102701
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72092615989707310247842137376661407259107393749802076
20724967728972856855972359846773035738168735946494909
11077368876810039668168848907397738721477247708468476
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86158876879816763580854989914553708968846872702164496
89710773357261736637685990616406785455991865835230894
08935735337616886863749645390479976477321689160704768
10770100477673737264377389737061059796889370504773735
35521894986999910799467397805979556860990107816810710
22168107917040585669684972731028799683587896756799106
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02914946997968978987102496187854672089926959060976072
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67370799989557382533582684656089897279618949107353559
61619099852066898689087599240496849588762477261102796
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27349726370686806205910249854791508746464684379968498
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92494950107455409021853999466173589279688272355864846
69092779189545910764698720816160626789584658664999564
55861846066826867856873726259637073793758767005599897
38449849946598035902349595349408786495970585690706185
37846949875837459999390670458445791022187686661925885
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35817385736759994961873984615810040857376737387680678
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00587653676659775510272102846377211071070565977589272
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Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx
Confidence Interval ExplanationHere is one sample from the before .docx

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