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Statistics essentials flashcards
16 cards drawn from 10 lessons: 7 standard results, 2 definitions, 1 recall prompt, 3 check-yourself questions and 3 spot-the-error cards. The statistics formulas to know on sight, and the wording that earns marks. Rate each answer to set a shorter or longer interval before the card is due again.
Years 12-13 · all 271 maths cards
How the five kinds differ
Standard results ask for a formula or value that may need to be recalled. Definitions ask for a mathematical term to be stated precisely. Recall prompts ask for a rule, condition or method. Check yourself cards contain a short question and answer. Spot the error cards ask you to correct an inaccurate claim.
Every card in this deck
Click any card to try it in the player above; the card itself links the lesson that teaches it.
- HistogramsResult
- Variance from sumsResult
- Outlier fences: one common conventionResult
- Addition ruleResult
- Conditional probabilityResult
- The sample mean's distributionResult
- independent eventsDefine
- StandardisingResult
- actual significance levelDefine
- State the effect of coding on the mean and the standard deviationRecall
- A firm has 900 full-time and 300 part-time staff. How many of each go into a stratified sample of 60?Check
- X ~ B(20, 0.15). Write P(X ≥ 5) in calculator-ready cumulative form.Check
- One fair die is rolled; X is the score. Name the distribution of X. Does the total of two dice have the same one?Check
- In a histogram, the tallest bar holds the most values.Spot the error
- A strong correlation shows that one variable causes the other.Spot the error
- Once you have the regression line you can predict y for any x you like.Spot the error
The lessons these cards come from
- Conditional probability
- Correlation and regression
- Hypothesis testing with the binomial
- Hypothesis testing: correlation and the normal
- Measures of location and spread
- Probability and Venn diagrams
- Representing and interpreting data
- Sampling and the large data set
- The binomial distribution
- The normal distribution
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