■检査输入的数据(打开数据库) 找出最大值、最小值(数据排序) data editor --sort cases 身高主要集中在什么阶段? Analyze----Descriptive Statistics----Frequencies 身高- display frequency table (这个程序能否看得出来大多数人身高在何处? 应该怎么办?
6 ◼ 检查输入的数据（打开数据库） ◼ 找出最大值、最小值（数据排序） data editor－data－sort cases ◼ 身高主要集中在什么阶段？ Analyze----Descriptive Statistics----Frequencies 身高－display frequency table (这个程序能否看得出来大多数人身高在何处？ 应该怎么办？)
55555555555555 11111 6790123457801235 eeee eeeeeeee 3333 eeeeeee 121112121121112131321111122121232121121111111113111111111 234578125789012 6556 4e7902 ooooo 67777777 ee6eee 23568123450250 456789012367 eeee7 367256261 o123456789
身 高 1 1.0 1.0 1.0 1 1.0 1.0 2.0 1 1.0 1.0 3.0 1 1.0 1.0 4.0 1 1.0 1.0 5.0 1 1.0 1.0 6.0 1 1.0 1.0 7.0 2 2.0 2.0 9.0 1 1.0 1.0 10.0 1 1.0 1.0 11.0 1 1.0 1.0 12.0 1 1.0 1.0 13.0 1 1.0 1.0 14.0 1 1.0 1.0 15.0 2 2.0 2.0 17.0 1 1.0 1.0 18.0 2 2.0 2.0 20.0 1 1.0 1.0 21.0 1 1.0 1.0 22.0 1 1.0 1.0 23.0 2 2.0 2.0 25.0 1 1.0 1.0 26.0 2 2.0 2.0 28.0 1 1.0 1.0 29.0 1 1.0 1.0 30.0 2 2.0 2.0 32.0 1 1.0 1.0 33.0 1 1.0 1.0 34.0 1 1.0 1.0 35.0 2 2.0 2.0 37.0 1 1.0 1.0 38.0 3 3.0 3.0 41.0 1 1.0 1.0 42.0 3 3.0 3.0 45.0 2 2.0 2.0 47.0 1 1.0 1.0 48.0 1 1.0 1.0 49.0 1 1.0 1.0 50.0 1 1.0 1.0 51.0 1 1.0 1.0 52.0 2 2.0 2.0 54.0 2 2.0 2.0 56.0 1 1.0 1.0 57.0 2 2.0 2.0 59.0 1 1.0 1.0 60.0 2 2.0 2.0 62.0 3 3.0 3.0 65.0 2 2.0 2.0 67.0 1 1.0 1.0 68.0 2 2.0 2.0 70.0 1 1.0 1.0 71.0 1 1.0 1.0 72.0 2 2.0 2.0 74.0 1 1.0 1.0 75.0 1 1.0 1.0 76.0 1 1.0 1.0 77.0 1 1.0 1.0 78.0 1 1.0 1.0 79.0 1 1.0 1.0 80.0 1 1.0 1.0 81.0 1 1.0 1.0 82.0 1 1.0 1.0 83.0 3 3.0 3.0 86.0 1 1.0 1.0 87.0 1 1.0 1.0 88.0 1 1.0 1.0 89.0 1 1.0 1.0 90.0 1 1.0 1.0 91.0 1 1.0 1.0 92.0 1 1.0 1.0 93.0 1 1.0 1.0 94.0 1 1.0 1.0 95.0 1 1.0 1.0 96.0 1 1.0 1.0 97.0 1 1.0 1.0 98.0 1 1.0 1.0 99.0 1 1.0 1.0 100.0 100 100.0 100.0 154.70 155.60 156.30 156.80 157.10 157.20 158.00 158.20 158.30 158.40 158.50 159.00 159.40 159.50 159.90 160.40 160.60 160.70 160.90 161.00 161.20 161.30 161.50 161.80 161.90 162.00 162.20 162.30 162.50 162.60 162.70 162.80 162.90 163.00 163.10 163.40 163.50 163.60 163.70 163.80 164.00 164.20 164.30 164.50 164.60 165.00 165.10 165.20 165.30 165.80 165.90 166.00 166.10 166.20 166.30 166.50 166.60 166.80 167.10 167.20 167.30 167.40 167.50 168.00 168.20 168.50 168.90 169.00 169.10 169.30 169.60 169.70 170.20 170.50 170.60 171.20 173.60 Total Valid Frequency Percent Valid Percent Cumulative Percent
■变量变换:将身高转化成一个新变量(组段) Transform- recode-into different variables(身高 组段) change- old and new- old value (range)-new value(value)-old-newadd- continue (可以试用不同的分组方法,例如“523) 生新变量(组段)
8 ◼ 变量变换：将身高转化成一个新变量（组段） ◼ Transform-recode-into different variables(身高 －组段)--change－old and new-old value (range)-new value (value)-old－new—add— continue （可以试用不同的分组方法，例如“5”“2”） ◼ 产生新变量（组段）
Analyze----Descriptive Statistics Frequencies-组段- display frequency table
9 ◼ Analyze----Descriptive Statistics---- Frequencies－组段－display frequency table
频数表 组段 Cumulative Frequency Percent Valid Percent Percent Valid 1.00 2 20 2.0 2.0 200 4 40 4.0 60 3.00 11.0 11.0 17.0 400 13 13.0 13.0 30.0 500 22 220 220 52.0 600 19 190 190 710 7.00 15 150 150 860 8.00 9 90 90 950 900 40 40 990 1000 1.0 1.0 100.0 ota 100 100.0 100.0
组 段 2 2.0 2.0 2.0 4 4.0 4.0 6.0 1 1 11.0 11.0 17.0 1 3 13.0 13.0 30.0 2 2 22.0 22.0 52.0 1 9 19.0 19.0 71.0 1 5 15.0 15.0 86.0 9 9.0 9.0 95.0 4 4.0 4.0 99.0 1 1.0 1.0 100.0 100 100.0 100.0 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 Total Valid Frequency Percent Valid Percent Cumulative Percent 频数表