ENS 305 Lecture Notes - Lecture 5: Type I And Type Ii Errors, Null Hypothesis, Technology In Revelation Space
15 Apr 2020
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Document Summary
Understand the scientific method and the hypotheses associated with it. Perform an inferential statistical analysis to test a hypothesis. Use selected programs from spss or excel computer software in data analysis. Scientific method: requires the development of a scientific hypothesis and an inferential statistical test of that hypothesis versus another competing hypothesis. Hypothesis: statement of presumed relation between at least two variables in a population. Population: the entire group of people or observations in question. Parameter: measurer of interest in the population. Sample: a subgroup of the population of interest. Statistic: measure of interest in the sample. What the researcher actually believes will occur. A statement that there is no relation (association or difference) between. A statement that there is a relation (association or difference) between. Alternative hypothesis: variables; the converse of h . The probability value (chance of results happening only by random chance) Allows testing of the probability of the actual occurrence of your result.
