From the course: SPSS Statistics Essential Training
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Comparing one mean to a population: One-sample T test - SPSS Tutorial
From the course: SPSS Statistics Essential Training
Comparing one mean to a population: One-sample T test
- [Instructor] One step up from a proportion which is for a dichotomous binary yes/no variable is the mean for a single variable. And the way that that is usually tested is with a one sample T-test. This requires a variable that is on some sort of quantitative scale, say for instance, a one to five variable and you can calculate the mean, and then you can compare that mean to a hypothesized population value. To do that, I'm going to use this dataset, which is based on demo. It's one sample T, and I'm going to open this up and we will first do a little bit of descriptive information. Let's do frequencies first, and I'm going to take a look at one variable which is job satisfaction, and let's get job sat, move it over, and let's get a little bit of information about it. We can get the mean, we can get the quartiles, the standard deviation, the minimum, and the maximum. Again, it's always a good idea to look at your data…
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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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Computing a linear regression9m 32s
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