Statistics knowledge check

Session 7 · Day 2

How this works

  • 14 questions on the ten required sections of Introduction to Modern Statistics (2e).
  • Each question starts with one case from everyday life.
  • Choose one of the four options. Write it down.
  • The next slide shows the answer and the reason.

Some cases use invented numbers. The slide says so.

Q1 · Your Spotify data

You download your Spotify data. The streaming history opens as a table:

endTime artistName trackName msPlayed
2026-03-14 22:41 Charli xcx 360 133000
2026-03-14 22:44 Charli xcx Apple 151000
2026-03-15 07:12 Doechii Anxiety 41000

What is one observation in this table?

  1. One artist
  2. One stream: one play of a track at one time
  3. The variable msPlayed
  4. Your whole listening year

Q1 · Answer

B. One stream: one play of a track at one time.

Each row is one observation. Here a row records one play. The same artist and the same track can appear in many rows. msPlayed is a variable, a column. Ask first: What does one row mean?

Q2 · Delivery orders

A food delivery app exports your orders:

postcode price_chf minutes
8001 24.50 28
3012 18.90 35
4051 31.00 22

Which variable is categorical, although it contains numbers?

  1. price_chf
  2. minutes
  3. postcode
  4. None of them: numbers are always numerical

Invented numbers.

Q2 · Answer

C. postcode.

A postcode is a label for a place. 8001 is Zürich, 3012 is Bern, 4051 is Basel. The mean of these three postcodes means nothing. Ask: Does arithmetic on these values mean anything? If not, treat the variable as categorical.

Q3 · Clothing sizes

You filter an online shop by size: XS, S, M, L, XL.

What type of variable is size?

  1. Numerical, continuous
  2. Numerical, discrete
  3. Categorical, nominal
  4. Categorical, ordinal

Q3 · Answer

D. Categorical, ordinal.

The sizes are categories with a natural order: XS < S < M < L < XL. You cannot compute “M minus S”. The steps between sizes are not equal distances. A colour filter (black, white, green) would be nominal: it has no order.

Q4 · Screen time and sleep

Your class fills in a survey. A scatterplot shows daily screen time on the x-axis and hours of sleep on the y-axis. Students with more screen time tend to report less sleep.

Which term describes this pattern?

  1. Positive association
  2. Negative association
  3. No evident association
  4. Perfect association

Invented survey.

Q4 · Answer

B. Negative association.

As one variable increases, the other tends to decrease. More screen time goes with less sleep. “Tends to” matters: some students have a lot of screen time and still sleep well. The association is not perfect.

Q5 · The headline

A student newspaper prints the same scatterplot under the headline:

“Phones ruin your sleep!”

What is the best response?

  1. Correct. The plot shows that phones cause less sleep.
  2. Too strong. The plot shows an association, not a cause.
  3. Wrong. A negative association means that phones improve sleep.
  4. Wrong. A class survey can never show any pattern.

Q5 · Answer

B. Too strong. The plot shows an association, not a cause.

Other variables can be involved. Exam stress can cause both more scrolling at night and less sleep. A side job with late shifts can do the same. To show a cause, you need a suitable study design, typically an experiment.

Q6 · Duolingo streaks

Your Spanish teacher asks:

Do students with a longer Duolingo streak get a higher score in the final exam?

Which variable is the response variable?

  1. The length of the streak
  2. The exam score
  3. The language
  4. The student

Q6 · Answer

B. The exam score.

The question asks if the streak can explain or predict the score. The streak is the explanatory variable. The exam score is the response variable. The student is not a variable: each student is one observation.

Q7 · The story poll

You post a poll in your Instagram story: “Should the canteen serve more vegan dishes?” 300 followers vote. 78% vote yes.

You want to know what all students at your school think. Which statement is correct?

  1. The 300 voters are the population.
  2. The 300 voters are a sample. All students at the school are the population.
  3. The 300 voters are a census, because 300 is a lot.
  4. The 78% describes all students, because everyone can see your story.

Invented numbers.

Q7 · Answer

B. The 300 voters are a sample. All students at the school are the population.

The population is the group that the conclusion is about. The sample is the group that was actually measured. Also: your followers are not a random choice of students. People who care about vegan food are more likely to vote. Ask: Who was measured, and who is the conclusion about?

Q8 · Two million ratings

A popular app has 4.8 stars from 2 million ratings in the app store.

What does this number tell you?

  1. It is a census of all users, because 2 million is so large.
  2. It describes users who chose to rate. They are a self-selected sample.
  3. It proves that the app is good for everyone.
  4. Nothing at all, because 2 million is too small a sample.

Invented numbers.

Q8 · Answer

B. It describes users who chose to rate. They are a self-selected sample.

A census measures every case in the population. Most users never rate an app. Users who uninstalled it early often never rate it either. A large sample does not fix a selection problem. It only makes the biased result look precise.

IMS 2.1.1 · Cheat sheet: census

Q9 · iPhone or Android?

Two study programmes report which phone their students use:

Programme iPhone Android Total
Design 30 10 40
Engineering 60 60 120

Which statement is correct?

  1. Engineering has the higher share of iPhone users, because it has more iPhone users.
  2. Design has the higher share of iPhone users: 75% against 50%.
  3. Both programmes have the same share of iPhone users.
  4. You cannot compare the programmes, because their sizes differ.

Invented numbers.

Q9 · Answer

B. Design has the higher share of iPhone users: 75% against 50%.

Engineering has more iPhone users, 60 against 30. But it also has three times as many students. Divide each row by its own total: 30 / 40 = 75% and 60 / 120 = 50%. When the group sizes differ, compare proportions, not only counts.

Q10 · The streaming poll

Your class votes for a favourite streaming service: Netflix 26, Disney+ 22, Prime Video 21. A bar chart shows the result. Its y-axis starts at 20. The Netflix bar looks six times as long as the Prime Video bar.

What is the problem?

  1. The data needs a histogram, not a bar chart.
  2. The bars must be sorted alphabetically.
  3. The axis does not start at zero, so the bar lengths exaggerate the difference.
  4. There is no problem: the counts are correct.

Invented numbers.

Q10 · Answer

C. The axis does not start at zero, so the bar lengths exaggerate the difference.

In a bar plot, readers compare the length of the bars. From an axis at 20, the bars are 6, 2, and 1 long. From zero, they are 26, 22, and 21 long. The real difference is small. A histogram is wrong here: the variable is categorical.

Q11 · The running club

A running club exports data from Strava. A scatterplot shows kilometres per week (x) and 10 km race time in minutes (y). The points fall close to a straight line that goes down. One runner sits far above the line: 60 km per week, but 70 minutes.

Which description is correct?

  1. Positive, linear, strong, no unusual observations.
  2. Negative, roughly linear, fairly strong, one unusual observation.
  3. Negative. The slow runner is an error, so delete that point.
  4. The plot proves that more kilometres make every runner faster.

Invented data.

Q11 · Answer

B. Negative, roughly linear, fairly strong, one unusual observation.

Read a scatterplot with four questions: direction, form, strength, and unusual observations. Do not silently delete the slow runner. The point can be an injury, a trail race, or an entry error. Investigate it. A plot alone shows an association, not proof.

Q12 · Screen time in the group chat

Five friends compare their daily TikTok time in hours:

1, 2, 2, 3, 12

What is the mean?

  1. 2 hours
  2. 3 hours
  3. 4 hours
  4. 12 hours

Invented numbers.

Q12 · Answer

C. 4 hours.

Add the values and divide by the number of observations: (1 + 2 + 2 + 3 + 12) / 5 = 20 / 5 = 4. Four of the five friends are below the mean. One heavy user pulls the mean up. The median, 2 hours, describes the typical friend better.

IMS 5.2 · Cheat sheet: mean

Q13 · Follower counts

Your class makes a histogram of Instagram follower counts. Most students have between 100 and 800 followers. Three students have more than 20,000. The bars on the left are tall. A long, thin tail goes to the right.

What shape does the distribution have?

  1. Left-skewed, because most observations are on the left
  2. Symmetric
  3. Right-skewed
  4. It has no shape, because three students are outliers

Invented data.

Q13 · Answer

C. Right-skewed.

Name the skew from the tail, not from the peak. The long tail points to the higher values, so the distribution is right-skewed. Option A is the most common trap. In a right-skewed distribution, the mean is pulled into the tail and lies above the median.

Q14 · Delivery times

A box plot shows the delivery times of a food delivery app in minutes:

Q1 Median Q3
20 25 35

About what share of the deliveries took between 20 and 35 minutes?

  1. 25%
  2. 50%
  3. 75%
  4. You cannot tell from a box plot.

Invented numbers.

Q14 · Answer

B. 50%.

The box runs from Q1 to Q3. About 25% of the observations lie below Q1 and about 25% lie above Q3. The box holds the middle 50%. Its width is the interquartile range: IQR = 35 − 20 = 15 minutes.

From statistics back to Day 1

The quiz uses formal language: observations, variables, samples, and distributions.

Before we can analyze observations and variables, someone must decide what counts as an observation and a variable.

  • Who decided what one row in your Spotify file means?
  • Who decided which students the story poll reached?
  • Which data setting produced the dataset that you brought to class?

Next: Session 8 — Models of local practice I