NHST with the one- sample t-test
17-A: Introduction to t distribution
Learning Objectives:
Interpret the Student's t probability distribution as the sample size changes
Discriminate between problems applying the normal and the Student's t distributions
17-B: Degrees of freedom
Learning Objectives:
Understand the meaning and relevance of degrees of freedom
READ: Degrees of Freedom
17-C: NHST with t-distribution
Learning Objectives:
Compute the probability of a sample mean being at least as high as a specified value when σ is known
Compute a two-tailed probability
Compute the probability of a sample mean being at least as high as a specified value when σ is estimated, and understand the assumptions required
READ: NHST with t-distribution
17-D: Normal versus t-distributions
Learning Objectives:
State the difference between the shape of the t distribution and the shape of the normal distribution.
State how the degrees of freedom affect the difference between the t and normal distributions.
DEMO: http://onlinestatbook.com/2/tests_of_means/t_distribution_demo.html . Online Statistics Education: A Multimedia Course of Study (http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University
17-F: One sample t-test assumptions
Learning Objectives:
Understand the assumptions we make about our data before we run a one-sample t-test.