Independent vs Dependent Samples
Test Selection
Parametric vs Non-Parametric
Level of Measurement
Spot the Error
100

This type of sample involves measuring the same individuals at multiple time points.

What are dependent samples?)

100

This test is used to compare means between two independent groups.

What is an independent t-test?

100

This type of test assumes data follows a normal distribution.

What are parametric tests?

100

This level of measurement has categories with no inherent order.

What is nominal?

100

A researcher uses an independent t-test to compare pre-test and post-test scores in the same students. What's wrong?

Should use paired t-test - these are dependent samples

200

A study comparing blood glucose levels between diabetic and non-diabetic patients involves this type of sample.

What are independent samples?

200

This test compares proportions across multiple groups.

What is chi-square test?

200

This advantage of parametric tests means they're less likely to make a Type II error.

What is statistical power?

200

Patient satisfaction rated as 1=poor, 2=fair, 3=good, 4=excellent represents this level.

What is ordinal?

200

A study with 20 patients per group showing heavy skew uses a parametric t-test. What's the issue?

Should use non-parametric Mann-Whitney U due to non-normal distribution and small sample

300

Comparing twin siblings' birth weights would involve this type of sample.

What are dependent samples?

300

This test examines whether a continuous outcome can be predicted by multiple predictor variables.

What is multiple linear regression?

300

A z-score exceeding this absolute value typically indicates an outlier.

What is 3?

300

This level of measurement has equal intervals and a true zero point.

What is ratio?

300

A researcher uses Pearson correlation on ordinal data with only 4 levels. What's the problem?

Should use Spearman's rank correlation for ordinal data

400

Violating the independence assumption by treating dependent samples as independent leads to incorrect versions of these two statistical values.

What are p-values and confidence intervals?

400

This is the non-parametric alternative to a paired t-test.

What is Wilcoxon signed-rank test?

400

This is the non-parametric equivalent of Pearson correlation.

What is Spearman's rank correlation?

400

For a dependent variable at this level of measurement, you would typically use chi-square or logistic regression.

What is categorical/nominal?

400

A study compares depression scores across 4 treatment groups using multiple independent t-tests. What's wrong and what should be used?

Inflates Type I error; should use ANOVA

500

A study compares pre-surgery anxiety, post-surgery anxiety, and anxiety at 1-month follow-up in the same patients. This study involves this many repeated measures.

What is three repeated measures?

500

You want to test if meditation reduces stress in 40 nurses measured at 4 time points over 6 months, with normally distributed continuous data. Name the test.

What is repeated measures ANOVA?

500

Name two assumptions that parametric tests make about data.

What are normality, homogeneity of variances, and interval/ratio data? - accept any two)

500

Temperature in Celsius is this level of measurement because zero doesn't mean 'absence of temperature.

What is interval?

500

A researcher interprets a regression coefficient without controlling for confounders and claims causation. Name two problems.

What are: not controlling for confounding leading to spurious relationships, and correlation/prediction doesn't equal causation?