The type of design is within-groups.
A t-test is a statistical test that compares two samples' means. It is used in hypothesis testing with a null hypothesis that the difference in group means is zero and an alternate hypothesis that the difference is not zero.
When the population standard deviation is unknown, the Student's t-test is used to test hypotheses about the mean of a small sample drawn from a normally distributed population.
The Student's t test compares means between two groups, whereas ANOVA compares means between three or more groups.
In ANOVA, the first step is to obtain a common P value.
A significant P value of the ANOVA test indicates that the mean difference between at least one pair was statistically significant.
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