Weights of QuartersUse the frequency distribution from Exercise 28 in Section 2-2 to construct a histogram. Compare this histogram to the histogram from Exercise 19.
Exercise 28:
Weights of QuartersRefer to Data Set 20 in Appendix B and use the weights (grams) of the post-1964 quarters. Construct a frequency distribution. Begin with a lower class limit of 5.5000 g, and use a class width of 0.0500 g. Compare the frequency distribution to the result from Exercise 27.
Exercise 19
Weights of QuartersUse the frequency distribution from Exercise 27 in Section 2-2 to construct a histogram.
Exercise 27:
Weights of QuartersRefer to Data Set 20 in Appendix B and use the weights (grams) of the pre-1964 quarters. Construct a frequency distribution. Begin with a lower class limit of 6.0000 g, and use a class width of 0.0500 g.
Data Set 20: Coin Weights (grams)
The “pre-1983 pennies” were made after the Indian and wheat pennies, and they are 97% copper and 3% zinc. The “post-1983 pennies” are 3% copper and 97% zinc. The “pre-1964 silver quarters” are 90% silver and 10% copper. The “post-1964 quarters” are made with a copper-nickel alloy.
STATDISK:
Data set name is Coins.
Minitab:
Worksheet name is COINS.MTW.
Excel:
Workbook name is COINS.XLS.
TI-83/84 Plus:
App name is COINS, and the file names are the same as for text files.
Text file names:
Text file names are CPIND, CPWHT, CPPRE, CPPST, CPCAN, CQPRE, CQPST, CDOL.
Indian pennies
Wheat pennies
Pre-1983
Pennies
Post-1983 pennies
Canadian pennies
Pre-1964
Quarters
Post-1964
Dollar Coins
3.0630
3.1366
3.1582
2.5113
3.2214
6.2771
5.7027
8.1008
3.0487
3.0755
3.0406
2.4907
3.2326
6.2371
5.7495
8.1072
2.9149
3.1692
3.0762
2.5024
2.4662
6.1501
5.7050
8.0271
3.1358
3.0476
3.0398
2.5298
2.8357
6.0002
5.5941
8.0813
2.9753
3.1029
3.1043
2.4950
3.3189
6.1275
5.7247
8.0241
3.0377
3.1274
2.5127
3.2612
6.2151
5.6114
8.0510
3.1083
3.0775
2.4998
3.2441
6.2866
5.6160
7.9817
3.1141
3.1038
2.4848
2.4679
6.0760
5.5999
8.0954
3.0976
3.1086
2.4823
2.7202
6.1426
5.7790
8.0658
3.0862
3.0586
2.5163
2.5120
6.3415
5.6841
8.1238
3.0570
3.0603
2.5222
6.1309
5.6234
8.1281
3.0765
3.0502
2.5004
6.2412
5.5928
8.0307
3.1114
3.1028
2.5248
6.1442
5.6486
8.0719
3.0965
3.0522
2.5058
6.1073
5.6661
8.0345
3.0816
3.0546
2.4900
6.1181
5.5361
8.0775
3.0054
3.0185
2.5068
6.1352
5.5491
8.1384
3.1934
3.0712
2.5016
6.2821
5.7239
8.1041
3.1461
3.0717
2.4797
6.2647
5.6555
8.0894
2.5067
6.2908
5.6063
8.0538
3.1267
3.0817
2.5139
6.1661
5.5709
8.0342
3.1524
3.0704
2.4762
6.2674
5.5591
3.0786
3.0797
6.2718
5.5864
3.0131
3.0713
2.5170
6.1949
5.6872
3.1535
3.0631
2.4925
6.2465
5.6274
3.0480
3.0866
2.4876
6.3172
5.6157
3.0050
3.0763
2.4933
6.1487
5.6668
3.0290
3.1299
2.4806
6.0829
5.7198
3.0846
6.1423
5.6694
3.0357
3.0917
2.5017
6.1970
5.5454
3.0064
3.0877
6.2441
5.6646
3.0936
2.9593
2.4973
6.3669
5.5636
3.1031
3.0966
2.5252
6.0775
5.6485
3.0408
2.9800
2.4978
6.1095
5.6703
3.0561
3.0934
2.5073
6.1787
5.6848
3.0994
3.1340
2.4658
6.2130
5.5609
2.4529
6.1947
5.7344
2.5085
6.1940
5.6449
6.0257
5.5804
6.1719
5.6010
6.3278
5.6022
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