4
32.00
5
64.00
6
128.00
7
256.00
Total N
7
Geometric Mean
32.0000
a. Limited to first 100 cases.
Ca se Su mma rie sa
VAR00001
1
4.00
2
8.00
3
16.00
4
32.00
5
64.00
6
128.00
7
256.00
Valid Missing
2.5 5 25 50 75 95 97.5
120 0
119.8667 120.0000
118.00 5.17092 26.738
.146 .221 -.260 .438 24.00 108.00 132.00 108.1000 112.0000 116.0000 120.0000 124.0000 128.0000 130.0000
Descriptive Statistics
N 102
102
Minimum 106.50
Maximum 169.50
Mean 137.5196
Std. Deviation
12.97521
• 计算例⒉4的几何均数
Ca se Su mma rie sa
VAR000011 Nhomakorabea4.00
2
8.00
3
16.00
119.3 118.2 119.5 115.6 119.6 112.5 112.9 125.5 121.1 124.3 117.4 125.1 117.7
122.0 118.8 127.1 120.2 127.2 126.1 121.4 119.8 132.5 119.7 119.2 113.1 116.3
10.0 19.2 15.8 11.7
7.5 7.5 6.7 2.5 1.7 100.0
Valid Percent 2.5 5.8 9.2
10.0 19.2 15.8 11.7
7.5 7.5 6.7 2.5 1.7 100.0
Cumulative Percent 2.5 8.3 17.5 27.5 46.7 62.5 74.2 81.7 89.2 95.8 98.3 100.0
SPSS电脑实验
计量资料的描述
某地用随机抽样方法调查了120名7岁男孩身高（cm），资 料如下，请编制该资料的频数表。
116.5 128.1 119.1 113.3 110.0 118.6 123.3 114.3 119.3 119.4 119.0 118.4 122.1 117.7
115.5 120.2 124.8 129.7 118.4 121.3 114.1 123.5 113.6 118.3 117.1 122.6 116.0 129.9
组中值
Percent 9.7
13.1 22.2 26.1 22.7
Total N
36
Geometric Mean
53.8174
a. Limited to first 100 cases.
• 计算中位数、P25、P75
St at ist ics
组中值 N
Median Percentiles
Valid Missing
25 75
10 0 11.0000 5.5000 16.5000
St at ist ics
组中值 N
Median Percentiles
Valid Missing
25 75
176 0
8.0000 6.0000 10.0000
Valid
2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 Total
Frequency 17 23 39 46 40 5 2 2 1 1 176
Valid
108.00 112.00 114.00 116.00 118.00 120.00 122.00 124.00 126.00 128.00 130.00 132.00 Total
Frequency 3 7 11 12 23 19 14 9 9 8 3 2
120
组段
Percent 2.5 5.8 9.2
123.6 125.6 116.4 118.6 121.7 116.6 131.5 129.3 123.3 129.1 122.9 127.8 123.7 124.0
131.1 127.1 121.5 125.2 112.5 108.4 117.5 118.1 115.5 120.1 120.8 121.1 126.7
•某工厂附属医院2003年随机调查了该厂120名健康职工 餐后两小时的血糖值（mmol／L）结果如下，用SPSS统计 软件分析该资料的分布
St at ist ic s
x N
Mean Median Std. Deviation Variance Skewness Std. Error of Skewness Kurtosis Std. Error of Kurtosis Percentiles
126.6 128.2 118.8 120.3 121.6 120.9 122.7 126.4 133.6 121.2 112.3 120.5 115.4
115.1 128.1 125.4 114.6 120.0 127.3 122.0 121.7 124.4 116.8 123.3 129.0 114.7
Valid Missing
5 25 50 75 95
119 0
4.6521 4.8000 .79786
.637 -.713 .222 -.377 .440 3.1000 4.1000 4.8000 5.3000 5.7000
• 用加权法计算表⒉1(频数表)数据的均数
VAR00001 Valid N (listwise)
123.0 122.2 119.6 125.2 119.9 110.0 116.9 130.8 115.8 123.1 117.9 118.1 121.3
St at ist ic s
组段 N
Mean Median Mode Std. Deviation Variance Skewness Std. Error of Skewness Kurtosis Std. Error of Kurtosis Range Minimum Maximum Percentiles