Continuous Probability Distributions (HSC SSCE Mathematics Advanced): Flashcards
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Practise the cards
10 cards from this deck
Other name for the 68-95-99.7 rule
Other name for the 68-95-99.7 rule
Empirical rule
% of values within 1 std deviation of mean
% of values within 1 std deviation of mean
Approximately 68%
% of values within 2 std deviations of mean
% of values within 2 std deviations of mean
Approximately 95%
% of values within 3 std deviations of mean
% of values within 3 std deviations of mean
Approximately 99.7%
Term for how many std devs a value is from mean
Term for how many std devs a value is from mean
Z-score or standardised score
What a negative z-score indicates
What a negative z-score indicates
Value falls below the mean
Complement rule for probabilities
Complement rule for probabilities
Probabilities must sum to 1 (or 100%)
Symmetry property of normal distribution
Symmetry property of normal distribution
Equal areas appear on both sides of the mean
What standard normal tables show
What standard normal tables show
Cumulative probabilities for different z-scores
Finding using tables showing
Finding using tables showing
Use complement rule: