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The t-test is used to compare the means of which type of data?

• Categorical data

• Continuous data

• Binary data

• Ordinal data

Which t-test should be used when comparing the means of two independent groups?

• One-sample t-test

• Paired t-test

• Independent Sample t-test

• Dependent sample t-test

In a t-test, the null hypothesis assumes:

• There is a difference between the means of the groups being compared

• There is no difference between the means of the groups being compared

• The data is not normally distributed

• The sample sizes are unequal

When should a one-tailed t-test be used instead of a two-tailed t-test?

• When there is no specific hypothesis about the direction of the difference

• When the researcher expects a significant difference in only one direction

• When the sample size is small

• When the data is skewed

The assumption of homogeneity of variances in ANOVA means that:

• The variances of the groups are equal

• The means of the groups are equal

• The data is normally distributed

• The sample sizes are equal

The degrees of freedom (df) in a t-test represent:

• The number of participants in the study

• The number of groups being compared

• The variability of the data

• The number of values that are free to vary in the calculation of the test statistic

Which assumption should be met for conducting a t-test?

• Equal sample sizes

• Non-normal distribution of data

• Homogeneity of variances

• Large sample size

The type of t-test used to compare the means of two related groups is:

• Independent samples t-test

• Dependent samples t-test

• One-sample t-test

• Welch's t-test

The p-value in a t-test represents:

• The probability of observing a difference as extreme as the one found, assuming the null hypothesis is true

• The strength of the relationship between the variables

• The effect size of the difference between the groups

• The probability of a Type II error

When interpreting the results of a t-test, if the p-value is less than the significance level (e.g., α = 0.05), what conclusion can be drawn?

• The null hypothesis should be rejected

• The null hypothesis should be accepted

• The sample size is too small for meaningful results

• The means of the groups are equal