Flashcards and recall.

Try this with Mathematics Applications

1. Write one prompt per card. Use definitions, explanations or examples from your current topic.
2. Answer aloud before turning the card. Split a card if it asks for several unrelated facts.
3. Set aside missed cards and revisit them in a later session.

View Mathematics Applications resources on ATARMAXXING ↗

Recall topics

• The statistical investigation process — what are the steps?
• Two-way frequency table
• When you percentage a two-way table, do you percentage by row or by column?
• How do you describe an association between two categorical variables from a percentaged two-way table?
• Explanatory variable
• Response variable
• Scatterplot
• Direction of an association (in a scatterplot)
• Form of an association (in a scatterplot)
• Strength of an association (in a scatterplot)
• Correlation coefficient (r)
• What does r = 0 tell you, and what does it not tell you?
• How do you turn a value of r into words about strength?
• Coefficient of determination
• Write a full interpretation of r² = 0.72 for hours of training (x) and race time (y).
• You are told r² = 0.64 and the scatterplot slopes downwards. What is r?
• In what form does the syllabus write the least-squares line?
• How do you interpret the slope b of a fitted least-squares line in context?
• How do you interpret the intercept a of a fitted least-squares line in context?
• Residual
• Residual plot
• A residual plot shows points scattered randomly above and below zero with no pattern. What do you conclude?
• A residual plot shows a clear curved (∪-shaped) pattern. What do you conclude?
• How do you use a fitted line to make a prediction, and how do you check the prediction is sensible?
• Interpolation
• Extrapolation
• Why is extrapolation dangerous?
• Why does an observed association not establish causation?
• Coincidence (as a non-causal explanation)
• Confounding variable
• Common response (as a non-causal explanation)
• What belongs in a systematic and concise report of a bivariate analysis?
• Primary data and secondary data
• How can a single outlier affect r and the least-squares line?
• Sequence and term (notation)
• Recursion (as used to generate a sequence)
• Arithmetic sequence
• Common difference
• Write the recurrence relation for an arithmetic sequence.
• State the rule for the nth term of an arithmetic sequence and use it.