Funny Scenarios Quiz for College Students

You're trying to convince your roommate that cleaning the apartment (IV) will improve their mood (DV). Which type of relationship are you suggesting?

• Negative relationship - the cleaner the apartment, the worse the mood

• No relationship - cleanliness has no impact on mood

• Positive relationship - a cleaner apartment leads to a better mood

• Inverse relationship - mood improves only when the apartment is messy

You notice that the more coffee you drink (IV), the less sleep you get (DV). What kind of effect size would best describe this relationship?

• Cohen's d, because it's funny to say "d" when you're tired

• A natural effect size, like "hours of sleep lost per cup of coffee"

• BESD, because you're seeing double from lack of sleep

• r, because it's the most caffeinated letter of the alphabet

Your professor says your exam grade (DV) will depend on how many memes you look at during the lecture (IV). What's the graph for this relationship likely to look like?

• A straight line going up - more memes, higher grade

• A straight line going down - more memes, lower grade

• A U-shape - some memes help, too many hurt

• A scatter plot with no pattern - memes and grades are unrelated

You're tracking how many slices of pizza (IV) you eat and how long it takes you to run a mile (DV). What's the likely direction of this relationship?

• Positive - more pizza, faster mile time

• Negative - more pizza, slower mile time

• No relationship - pizza has no impact on running speed

• It depends on the pizza toppings

You're convinced that wearing your lucky socks (IV) helps you win at Mario Kart (DV). What's the DV's variable type?

• Interval - you're measuring your win rate precisely

• Ordinal - you rank your wins from 1st to last place

• Categorical - you either win or lose, no in-between

• Nominal - each win is a unique and special snowflake

You're testing if the number of hours spent studying (IV) affects your exam score (DV). You find a correlation of r = 0.8. What does this mean?

• Studying has no effect on your exam score

• Studying more hours leads to a significantly higher exam score

• Studying more hours leads to a slightly higher exam score

• You're probably just good at exams, regardless of studying

You observe that students who sit in the front row (IV) tend to participate more in class (DV). What type of graph would best illustrate this relationship?

• Scatter plot, because it's chaotic like the front row

• Bar chart, comparing participation levels of front vs. back row students

• Line graph, showing participation increasing as you move closer to the front

• Pie chart, dividing the class into "front-row participators" and everyone else

You're analyzing the relationship between the number of all-nighters pulled (IV) and the number of cups of coffee consumed (DV). You expect a strong positive relationship. Which effect size value would support your expectation?

• r = 0.1

• d = 0.3

• r = 0.9

• BESD = 50:50

You hypothesize that students who use flashcards (IV) will perform better on exams (DV) than those who don't. You find a statistically significant difference, but the effect size is very small. What does this imply?

• Flashcards are the key to acing every exam

• Flashcards have a huge impact on exam performance

• Flashcards might help a little, but other factors are more important

• Flashcards actually make exam performance worse

You're curious if attending more parties (IV) affects your GPA (DV). You find a negative relationship. What's the most responsible way to report this finding?

• "Parties ruin your GPA!"

• "There's a small negative association between partying and GPA."

• "Partying has no effect on GPA, I'm living proof!"

• "My GPA is low because I'm too busy having fun."