MARK 302 Lecture Notes - Lecture 14: Null Hypothesis, Type I And Type Ii Errors, Test Statistic
24 Sep 2017
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Chapter 14: statistical tests of relation and difference. Tests of relation: if two variables are correlated, then a regression analysis is conducted to calculate how each observed quality affects the other: either quality can then be used to predict the other. Bivariate techniques: statistical methods of analyzing relationships between only two variables. Multivariate techniques: statistical methods analyzing the relationships between more than two variables. Ho: the two variables are unrelated to each other. Ha: the two variables are related to each other. The null hypothesis can only be rejected if there is a sufficiently low probability that the findings are due to chance (usually 5%) Level of significance: set by the researcher, and represents the probability of making a type i error (rejecting the null hypothesis when it is true) Level of confidence: how confident the researcher is that the observed value is the true population value (1 level of significance)
