Animal Husbandry and Feed Science ›› 2018, Vol. 39 ›› Issue (10): 98-101.doi: 10.12160/j.issn.1672-5190.2018.10.025

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

FU Yue-lin[1];YANG Min-hong[2];LI Lan-hui[3]   

  1. [1]College of Veterinary Medicine,Agricultural University of Hebei,Baoding 071001,China;[2]Agricultural Administration Comprehensive Law Enforcement Team,Agricultural,Forestry and Animal Husbandry Bureau of Xinle of Hebei Province,Xinle 050700,China;[3]College of Animal Science and Technology,Agricultural University of Hebei,Baoding 071001,China
  • Received:2018-04-03 Online:2018-08-19 Published:2019-08-19

Abstract: 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.

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