(Walruses have different weights in different months) The alternative hypothesis (H1) is that there is a difference between the means and groups.(Walruses weigh the same in different months) The null hypothesis (H0) is that there is no difference between the groups and equality between means.In a one-way ANOVA there are two possible hypotheses. What are the hypotheses of a One-Way ANOVA? Within each group there should be three or more observations (here, this means walruses), and the means of the samples are compared. For example, if the researchers looked at walrus weight in December, January, February and March, there would be four months analyzed, and therefore four groups to the analysis.ДЄ one-way ANOVA compares three or more than three categorical groups to establish whether there is a difference between them. In an ANOVA, our independent variables are organised in categorical groups. For example, adventurous researchers studying a population of walruses might ask вЂњDo our walruses weigh more in early or late mating season?вЂќ Here, the independent variable or factor (the two terms mean the same thing) is вЂњmonth of mating seasonвЂќ. Before we can generate a hypothesis, we need to have a question about our data that we want an answer to. It is a hypothesis-based test, meaning that it aims to evaluate multiple mutually exclusive theories about our data. A one-way ANOVA is a type of statistical test that compares the variance in the group means within a sample whilst considering only one independent variable or factor.

One way anova in spss