[Project 1] Day 10: Understanding T-Tests

Today I started learning about the various T-tests and when to use them

  • T-test is a statistical test which is used to compare the mean values of two groups. To do this we create two hypothesis:
    H0 = there being no significant difference
    H1 = there being a significant difference
    The different types of data would indicate when to use which type of t-test
  • Paired t test is used when the groups come from a single population (e.g., measuring before and after an experimental treatment) like in the case of the crab molt data
  • Two-sample t test also called independent test is used when the groups come from two different populations ( two different species of animal)
  • A one-sample t test is performed if there exists a single  group being compared against a standard value
  • One-tailed t test should be performed when we want to know if the mean of one group or population is more than or less than the other.
  • A two-tailed t test is performed when we you only care to know  if  the two groups are different from one another

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