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Part 2: ANOVA Let's take hypothetical data presenting blood pressure and high fat intake (less than 3 grams of total fat per serving) or low
Part 2: ANOVA
Let's take hypothetical data presenting blood pressure and high fat intake (less than 3 grams of total fat per serving) or low fat intake (less than 1 gram of saturated fat) of an individual.
Table 2: Blood Pressure and Fat Intake
Individual | Blood Pressure | Fat Intake |
1 | 135 | 1 |
2 | 130 | 1 |
3 | 135 | 1 |
4 | 128 | 0 |
5 | 121 | 0 |
6 | 133 | 0 |
7 | 145 | 1 |
8 | 137 | 1 |
9 | 148 | 1 |
10 | 134 | 0 |
11 | 150 | 0 |
12 | 121 | 0 |
13 | 117 | 1 |
14 | 128 | 1 |
15 | 121 | 0 |
16 | 124 | 1 |
17 | 132 | 0 |
18 | 121 | 0 |
19 | 120 | 0 |
20 | 124 | 0 |
First, refer to the following videoon how to calculate a one-way ANOVA using SPSS.
Next, using SPSS:
- Calculate a one-way ANOVA to test the null hypothesis that the mean of each group is the same.
- Use different variables as grouping variables (fat intake high 1; fat intake low 0) and compare the results.
- Calculate an F-test for an overall comparison of means to see whether any differences are significant.
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