HSS 2381 Lecture Notes - Lecture 6: Pancreatic Cancer, Internal Validity, Standard Deviation
9 Nov 2016
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T-tests are essentially a test of whether two means are statistically the same (h0) A t-test is a statistical test for comparing the mean of a sample to: an external value, another sample"s mean. It can be done in two ways: one sample, two sample. 6 kinds in total: one sample, two sample. The one-sample t test compares the mean score of a sample to a known value. Usually, the known value is a population mean. H0: there is no significant difference between the sample mean and the population mean. H1: there is a significant difference between the sample mean and the population mean. Inferential statistics is always about determining how well a sample reflects a population. Two-sample t-tests are used when the independent variable is a nominal-level variable with two levels that is, when two groups are being compared. Examples: experimentals versus controls, men versus women, children with versus without cystic fibrosis.
