Author(s): Dr. Vikram Singh, Dr. Surender Singh, Dr. Rashmi Gupta, Dr. Parmod Kumar Sethi
Abstract:
The one-sample t-test is a fundamental statistical test used in research to compare the mean (average) of a single sample to a hypothesized population mean. It's particularly useful when you don't have data from a comparison group but want to see if your sample data deviates from a known or expected value. This study explored the Body Mass Index (BMI) of individuals practicing yoga. SPSS software 25 step by step was used to analyze data from 60 participants (30 male, 30 female) with an average age of 22.6 years (SD = 1.88). A one-sample t-test compared their mean BMI (24.54, SD = 1.31) to a hypothesized average BMI of 25. The results showed a statistically significant difference (p < .05), suggesting the participants' BMI deviated from the hypothesized value. This initial analysis using SPSS paves the way for further research on how yoga practice might influence BMI.
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