sas课后习题解答.doc

学号：X12303003 专业：环境工程 姓名：刘响响proc univariate freq normal plot data=D3; var chinese maths;class gender;run;proc univariate freq normal plot data=D3;var english;run; myresult: The SAS System 10:08 Saturday, October 17, 2012 58 The UNIVARIATE Procedure Variable: chinese (chinese) gender = f Moments N 50 Sum Weights 50 Mean 69.26 Sum Observations 3463 Std Deviation 17.5485449 Variance 307.951429 Skewness 0.03380771 Kurtosis -1.2532777 Uncorrected SS 254937 Corrected SS 15089.62 Coeff Variation 25.3372003 Std Error Mean 2.48173902 Basic Statistical Measures Location Variability Mean 69.26000 Std Deviation 17.54854 Median 71.00000 Variance 307.95143 Mode 43.00000 Range 56.00000 Interquartile Range 30.00000 NOTE: The mode displayed is the smallest of 12 modes with a count of 2. Quantiles (Definition 5) Quantile Estimate 100% Max 98.0 99% 98.0 95% 97.0 90% 94.5 75% Q3 84.0 Quantiles (Definition 5) Quantile Estimate 50% Median 71.0 25% Q1 54.0 10% 45.0 5% 43.0 1% 42.0 0% Min 42.0 Frequency Counts Percents Percents Percents Value Count Cell Cum Value Count Cell Cum Value Count Cell Cum 42 1 2.0 2.0 59 1 2.0 38.0 80 2 4.0 72.0 43 2 4.0 6.0 62 1 2.0 40.0 81 1 2.0 74.0 44 1 2.0 8.0 63 1 2.0 42.0 84 1 2.0 76.0 45 2 4.0 12.0 64 1 2.0 44.0 85 1 2.0 78.0 48 2 4.0 16.0 68 1 2.0 46.0 86 1 2.0 80.0 49 1 2.0 18.0 69 1 2.0 48.0 87 1 2.0 82.0 50 2 4.0 22.0 70 1 2.0 50.0 88 2 4.0 86.0 53 1 2.0 24.0 72 1 2.0 52.0 92 1 2.0 88.0 54 1 2.0 26.0 74 2 4.0 56.0 94 1 2.0 90.0 55 1 2.0 28.0 75 1 2.0 58.0 95 1 2.0 92.0 56 2 4.0 32.0 76 2 4.0 62.0 97 2 4.0 96.0 57 1 2.0 34.0 77 1 2.0 64.0 98 2 4.0 100.0 58 1 2.0 36.0 79 2 4.0 68.0 The UNIVARIATE Procedure Variable: chinese (chinese) gender = m Moments N 50 Sum Weights 50 Mean 72.56 Sum Observations 3628 Std Deviation 16.1853549 Variance 261.965714 Skewness 0.02382653 Kurtosis -1.2879004 Uncorrected SS 276084 Corrected SS 12836.32 Coeff Variation 22.3061672 Std Error Mean 2.28895485 Basic Statistical Measures Location Variability Mean 72.56000 Std Deviation 16.18535 Median 73.00000 Variance 261.96571 Mode 51.00000 Range 54.00000 Interquartile Range 30.00000 Quantiles (Definition 5) Quantile Estimate 100% Max 99.0 99% 99.0 95% 98.0 90% 94.5 75% Q3 88.0 50% Median 73.0 25% Q1 58.0 Quantiles (Definition 5) Quantile Estimate 10% 51.0 5% 50.0 1% 45.0 0% Min 45.0 Frequency Counts Percents Percents Percents Value Count Cell Cum Value Count Cell Cum Value Count Cell Cum 45 1 2.0 2.0 65 1 2.0 40.0 87 1 2.0 74.0 49 1 2.0 4.0 69 1 2.0 42.0 88 1 2.0 76.0 50 1 2.0 6.0 72 3 6.0 48.0 89 1 2.0 78.0 51 4 8.0 14.0 73 2 4.0 52.0 90 3 6.0 84.0 53 1 2.0 16.0 74 1 2.0 54.0 91 1 2.0 86.0 54 3 6.0 22.0 75 1 2.0 56.0 93 1 2.0 88.0 56 1 2.0 24.0 76 2 4.0 60.0 94 1 2.0 90.0 58 1 2.0 26.0 77 1 2.0 62.0 95 1 2.0 92.0 60 2 4.0 30.0 80 1 2.0 64.0 97 1 2.0 94.0 61 1 2.0 32.0 81 2 4.0 68.0 98 2 4.0 98.0 62 2 4.0 36.0 82 1 2.0 70.0 99 1 2.0 100.0 64 1 2.0 38.0 85 1 2.0 72.0 The UNIVARIATE Procedure Variable: maths (maths) gender = f Moments N 50 Sum Weights 50 Mean 66.42 Sum Observations 3321 Std Deviation 17.758114 Variance 315.350612 Skewness 0.33702715 Kurtosis -1.1495187 Uncorrected SS 236033 Corrected SS 15452.18 Coeff Variation 26.7360945 Std Error Mean 2.51137656 Basic Statistical Measures Location Variability Mean 66.42000 Std Deviation 17.75811 Median 64.50000 Variance 315.35061 Mode 46.00000 Range 58.00000 Interquartile Range 31.00000 NOTE: The mode displayed is the smallest of 2 modes with a count of 4. Quantiles (Definition 5) Quantile Estimate 100% Max 98.0 99% 98.0 95% 97.0 90% 94.0 75% Q3 80.0 Quantiles (Definition 5) Quantile Estimate 50% Median 64.5 25% Q1 49.0 10% 46.0 5% 43.0 1% 40.0 0% Min 40.0 Frequency Counts Percents Percents Percents Value Count Cell Cum Value Count Cell Cum Value Count Cell Cum 40 1 2.0 2.0 61 1 2.0 44.0 77 1 2.0 72.0 43 2 4.0 6.0 62 1 2.0 46.0 80 2 4.0 76.0 45 1 2.0 8.0 63 1 2.0 48.0 84 1 2.0 78.0 46 4 8.0 16.0 64 1 2.0 50.0 85 1 2.0 80.0 47 1 2.0 18.0 65 1 2.0 52.0 86 1 2.0 82.0 48 1 2.0 20.0 67 1 2.0 54.0 89 1 2.0 84.0 49 4 8.0 28.0 68 1 2.0 56.0 90 1 2.0 86.0 51 1 2.0 30.0 69 1 2.0 58.0 91 1 2.0 88.0 54 2 4.0 34.0 70 2 4.0 62.0 94 2 4.0 92.0 55 1 2.0 36.0 71 1 2.0 64.0 96 1 2.0 94.0 57 1 2.0 38.0 72 1 2.0 66.0 97 2 4.0 98.0 58 1 2.0 40.0 73 1 2.0 68.0 98 1 2.0 100.0 59 1 2.0 42.0 74 1 2.0 70.0 The UNIVARIATE Procedure Variable: maths (maths) gender = m Moments N 50 Sum Weights 50 Mean 68.08 Sum Observations 3404 Std Deviation 17.4798309 Variance 305.54449 Skewness 0.0132019 Kurtosis -1.0708364 Uncorrected SS 246716 Corrected SS 14971.68 Coeff Variation 25.6754274 Std Error Mean 2.4720214 Basic Statistical Measures Location Variability Mean 68.08000 Std Deviation 17.47983 Median 68.50000 Variance 305.54449 Mode 41.00000 Range 58.00000 Interquartile Range 29.00000 NOTE: The mode displayed is the smallest of 6 modes with a count of 3. Quantiles (Definition 5) Quantile Estimate 100% Max 99.0 99% 99.0 95% 96.0 90% 94.0 75% Q3 82.0 Quantiles (Definition 5) Quantile Estimate 50% Median 68.5 25% Q1 53.0 10% 43.0 5% 41.0 1% 41.0 0% Min 41.0 Frequency Counts Percents Percents Percents Value Count Cell Cum Value Count Cell Cum Value Count Cell Cum 41 3 6.0 6.0 63 1 2.0 40.0 82 3 6.0 80.0 43 3 6.0 12.0 64 1 2.0 42.0 85 1 2.0 82.0 44 1 2.0 14.0 66 1 2.0 44.0 86 1 2.0 84.0 46 2 4.0 18.0 67 3 6.0 50.0 87 1 2.0 86.0 48 1 2.0 20.0 70 3 6.0 56.0 90 1 2.0 88.0 49 1 2.0 22.0 72 1 2.0 58.0 93 1 2.0 90.0 52 1 2.0 24.0 74 1 2.0 60.0 95 2 4.0 9