Test everything you have learned across the whole unit. This cumulative quiz covers all 15 lessons of Data Science 2 with 15 multiple-choice and 5 short-answer questions.
📝
L1: Investigable vs Non-Investigable QuestionsL2: Identifying Scientifically Testable ClaimsL3: Hypothesis Testing and Peer ReviewL4: Evaluating Online SourcesL5: Evidence, Reasoning and ConclusionsL6: Science vs PseudoscienceL7: Pseudoscientific Claims in Popular MediaL8: Distorting Data to MisleadL9: Is It Pseudoscientific?L10: Large Datasets: Features, Collection and UsesL11: Using a Large Dataset to Develop and Test a QuestionL12: Descriptive Analysis and Descriptive StatisticsL13: Univariate and Bivariate AnalysisL14: Causal vs Correlational RelationshipsL15: Synthesis: Building a Scientific Argument
Multiple Choice (15 questions)
1. Which of these is an investigable question?
ADoes the amount of light affect how fast cress seeds grow?
BIs spring the best season of the year?
CShould everyone plant a vegetable garden?
DWhy is nature so beautiful?
2. What makes a claim scientifically testable?
AIt appears on a popular website
BA celebrity says it is true
CIt can be supported or refuted by evidence from an investigation
DIt uses scientific-sounding words
3. What is the main purpose of peer review?
ATo count how many times a study is shared online
BFor independent experts to check a study before it is published
CTo make a study sound more impressive
DTo repeat an experiment many times yourself
4. Which is the strongest sign that an online source is reliable?
AIt has a catchy headline and bright images
BIt appears first in a search
CIt has been shared thousands of times
DA named expert author backs claims with cited evidence
5. In Claim, Evidence, Reasoning, what is the role of the evidence?
AIt is the data used to support or challenge the claim
BIt is the opinion of the scientist
CIt is the number of people who agree
DIt is the title of the report
6. Which feature best separates a scientific claim from a pseudoscientific one?
AThe scientific claim is always older
BThe scientific claim is more popular
CThe scientific claim is falsifiable and can be corrected by evidence
DThe scientific claim uses more technical words
7. An advert relies on glowing customer testimonials instead of a controlled trial. This is a problem because:
ATestimonials are always deliberately faked
BA personal story can be cherry-picked and does not show what happens for most people
CTestimonials are too expensive to collect
DTestimonials count as peer review
8. A graph uses correct numbers but starts its vertical axis above zero so a small change looks dramatic. The single trick being used is:
APeer review
BA controlled experiment
CA frequency table
DA truncated y-axis
9. A claim is built so that no possible result could ever prove it wrong. Using the claim-check framework, this claim:
AFails the falsifiability test, a warning sign of pseudoscience
BIs very strong, because it explains every outcome
CHas been peer reviewed
DMust be true, because it cannot be disproven
10. In a large dataset, "velocity" describes:
AThe number of different things measured
BThe total number of records stored
CThe speed at which new data keeps arriving
DHow accurate each measurement is
11. When you reuse temperature data downloaded from the Bureau of Meteorology, you are using:
APrimary data
BSecondary data
CQualitative data only
DData with no metadata
12. For the dataset 4, 7, 7, 9, 13, the mean is 8 and the median is 7. Adding an outlier of 60 will:
ALeave both the mean and the median unchanged
BMove the median far more than the mean
CLower the mean
DPull the mean up sharply while the median barely moves
13. Which question requires bivariate analysis?
ADo students who study more tend to get higher test marks?
BWhat is the typical height in our class?
CHow many hours of sleep did each student get last night?
DWhat is the most common shoe size in Year 9?
14. Two variables are strongly correlated. What can you correctly conclude?
AOne variable definitely causes the other
BThey tend to change together, but this does not prove one causes the other
CThere is no link between them at all
DA confounding variable is impossible
15. Which of these is the best example of a strong, honest scientific conclusion?
AThis supplement definitely works because the advert says so
BEveryone knows this product is the best, so it must be true
CThe current evidence does not support the claim, because the data comes from an advert rather than a fair trial
DThis proves the product has no effect at all, with no doubt
Short Answer (5 questions)
SA1
Explain the difference between an investigable and a non-investigable question, giving one example of each. (4 marks)
Write your answer in your book.
SA2
Describe two red flags that suggest a media health claim is pseudoscientific, and explain how you would fact-check the claim. (4 marks)
Write your answer in your book.
SA3
For the dataset 3, 5, 5, 7, 10, calculate the mean, median, mode and range, showing your working. (4 marks)
Write your answer in your book.
SA4
Explain the difference between correlation and causation, and describe how a confounding variable can make a correlation look like a cause. Use an example. (5 marks)
Write your answer in your book.
SA5
Describe the three parts of a scientific argument (claim, evidence and reasoning), and explain why a good argument should not overreach beyond the evidence. (5 marks)
Write your answer in your book.
🎮
Test Your Knowledge
Put your unit knowledge to the test! Jump through all the quiz questions in game form.