生物统计学单样本t检验的SPSS实现

生物统计学是认识世界的工具，其中单样本t检验适用于样本均数x与已知总体均数μ0的比较，其比较目的是检验样本均数x所代表的总体均数μ与已知总体均数μ0是否有差别，而已知总体均数μ0一般为标准值、理论值或是经大量检验得到的较稳定的指标。试验共收集74名男性和96名女性大学生的血压、脉搏、体温、身高、体重指标，根据文献资料所得的正常身体指标参考范围，利用SPSS程序对收集的数据进行整理、单样本t检验分析和推断总体，从而揭示以样本数据探索规律的分析方法。

Implementation of Single Sample t Test in Biostatistics by SPSS-aking the Physical Indicators of College Students as an Example

Biostatistics is one of the important tools to know the world. Single sample t test is suitable for the comparison between sample mean x and the known population mean μ0. Its purpose is to test if there is a difference between population mean μ represented by sample mean x and the known population mean μ0 which is commonly a standard value, theoretical value, or a relatively stable indicator obtained by a large number of inspections. In this study, the physical indexes of blood pressure, pulse, temperature, height, body weight from 74 male and 96 female college students were collected. The normal reference range of the physical indicators was indexed from the published literatures. SPSS program was used for data collation, single sample t test analysis and population inference.