From the course: SPSS: Wrangling, Visualizing, and Modeling Data
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Comparing multiple means: One-way ANOVA
From the course: SPSS: Wrangling, Visualizing, and Modeling Data
Comparing multiple means: One-way ANOVA
- [Instructor] They say that two's company and three is a crowd, but sometimes you have three or more groups that you want to compare against each other. If it's just two groups, you do an independent samples T-test, but when you have three or more, you do an analysis of variance, or ANOVA, or ANOVA, and we're going to use the one-way version. So, we have a single variable, a single factor that has multiple levels on it, and for this example, I'm going to be using this dataset, OneWayANOVA, which is based on the demo dataset, and what we're going to do is we're going to look at job satisfaction. That's this variable right here. We're going to try to predict based off some other variables who is highly satisfied in their job. Now, let's start by making a histogram of job satisfaction so we remember what we're dealing with. I'm going to come down here to Histogram, and we'll pick job satisfaction. We'll put it here and display a normal curve on top. When we do that, we can see it…
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Comparing proportions3m 6s
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Comparing one mean to a population: One-sample t test3m 26s
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Comparing paired means: Paired-samples t test4m 33s
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Comparing two means: Independent-samples t test4m 33s
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Comparing multiple means: One-way ANOVA6m 40s
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Comparing means with two categorical variables: ANOVA5m 24s
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