T Test Basics

How do you calculate degrees of freedom in a T test?

• Degrees of freedom = Total number of observations * Number of parameters estimated

• Degrees of freedom = Total number of observations - Number of parameters estimated

• Degrees of freedom = Number of parameters estimated - Total number of observations

• Degrees of freedom = Total number of observations + Number of parameters estimated

What does a p-value less than 0.05 indicate in a T test?

• Highly reliable

• Not statistically significant

• Indicative of a large effect size

• Statistically significant

Explain the procedure for conducting a one-sample T test.

• In a one-sample T test, the critical t-value is determined by rolling a dice and matching the outcome to a pre-determined chart.

• To conduct a one-sample T test, one must calculate the average of the sample, divide it by the number of participants, and compare it to a random value.

• The procedure for conducting a one-sample T test involves stating the hypotheses, calculating the t-statistic, determining degrees of freedom, finding the critical t-value, comparing the values, and drawing a conclusion.

• The procedure for conducting a one-sample T test involves flipping a coin, guessing the outcome, and drawing a conclusion based on the guess.

What are the assumptions of a T test?

• Linearity, Homoscedasticity, Normality

• Normality, Homogeneity of variances, Independence

Why is it important to check the normality assumption in a T test?

• To waste time

• To make the test harder

• To ensure the validity and reliability of the T test results.

• To confuse the participants