MTB > random 200 c1; SUBC> binomial 150 .2. MTB > histo c1 Histogram of C1 N = 200 Midpoint Count 18 2 ** 20 5 ***** 22 8 ******** 24 13 ************* 26 28 **************************** 28 22 ********************** 30 35 *********************************** 32 29 ***************************** 34 23 *********************** 36 16 **************** 38 11 *********** 40 5 ***** 42 2 ** 44 1 * MTB > describe c1 N MEAN MEDIAN TRMEAN STDEV SEMEAN C1 200 29.710 30.000 29.694 4.990 0.353 MIN MAX Q1 Q3 C1 17.000 44.000 26.000 33.000 MTB > nscores c1 c11 MTB > plot c1 c11 C1 - - * - 2 40+ 3 2 - 5 6 - + 6 - + 6 - + + 30+ + + - + 8 - + + - 4 9 - 4 4 20+ 5 - * * - - --------+---------+---------+---------+---------+--------C11 -2.0 -1.0 0.0 1.0 2.0 MTB > corr c1 c11 Correlation of C1 and C11 = 0.999 MTB > NOTE M&M Example 6.9 MTB > cdf; SUBC> binomial 100 .1. BINOMIAL WITH N = 100 P = 0.100000 K P( X LESS OR = K) 0 0.0000 1 0.0003 2 0.0019 3 0.0078 4 0.0237 5 0.0576 6 0.1172 7 0.2061 8 0.3209 9 0.4513 10 0.5832 11 0.7030 12 0.8018 13 0.8761 14 0.9274 15 0.9601 16 0.9794 17 0.9900 MTB > cdf 9; SUBC> binomial 100 .1. K P( X LESS OR = K) 9.00 0.4513 MTB > cdf 9; SUBC> normal 10 3. 9.0000 0.3694 MTB > correct for discrete MTB > MTB > cdf 9.5; SUBC> normal 10 3. 9.5000 0.4338