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Student’s t-Test for Independent Samples

In: Using R for Biostatistics

Author

Listed:
  • Thomas W. MacFarland

    (Nova Southeastern University Fort Lauderdale, Senior Research Associate, Office of Institutional Effectiveness
    Nova Southeastern University Fort Lauderdale, Associate Professor, College of Computing and Engineering)

  • Jan M. Yates

    (Nova Southeastern University Fort Lauderdale, Professor Emerita, Abraham S. Fischler College of Education)

Abstract

This lesson provides a demonstration of inquiries into differences between groups, specifically by using Student’s t-Test for Independent Samples. Overall, Student’s t-Test is a very common test for determining differences when a singular measured variable (e.g., Systolic Blood Pressure, weight of dairy cow milk production per lactation, length of shark dorsal fin, etc.) is compared to differences between a grouping variable with two breakout groups (e.g., Female v Male humans, Guernsey v Jersey cows, Mako v Great White sharks). The t-Test was developed more than 100 years ago, as part of quality assurance work for a beverage company, but published under the pen name Student. Student’s t-Test is the appropriate test for comparing differences between small samples, typically 30 or fewer. However, it is also common to see Student’s t-Test for Independent Samples used with larger samples.

Suggested Citation

  • Thomas W. MacFarland & Jan M. Yates, 2021. "Student’s t-Test for Independent Samples," Springer Books, in: Using R for Biostatistics, chapter 0, pages 141-240, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-62404-0_3
    DOI: 10.1007/978-3-030-62404-0_3
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