Maths Yr08 Sum1 Flashcards
1.0 Fair
An event or experiment is fair if all outcomes are equally likely.
1.1 Bias
An event of experiment is biased if not all outcomes are equally likely.
1.2 Sample Space
A sample space is a means of listing all possible outcomes to an experiment – usually a table.
1.3 Theoretical Probability
Is the probability, in theory, you expect to get from an statistical experiment
1.4 Calculating theoretical probability
Probability (P) = Number of ways to get that event Number of all possible outcomes
1.5 Relative Frequency or experimental probability
The number of times an event happens, divided by the total number of trials in an actual experiment.
1.6 Mutually Exclusive events
Two or more events that cannot happen at the same time.
1.7 Independent events
Two events are independent if one event does not affect the probability of another.
1.8 Probability of two independent events both happening
P(A and B) = P(A) X P(B)
10.0 Transformation
A way of changing the size or position of a shape.
10.1 Object
The original shape before a transformation has occurred
10.2 Image
The transformed shape after a transformation has taken place
10.3 Translation
Moves a shape vertically and/or horizontally. It does not change its orientation
10.4 Column Vector
Gives an instruction for a translation (movement).
(Movement in x direction)¦(Movement in y direction)
10.5 Reflection
This transforms an object by reflecting in a line of symmetry.
10.6 Rotation
Turning and object around a point (centre of rotation):
We can rotate by any angle, in a clockwise or anticlockwise direction. The distance from the centre to any point on theshapestays the same.
10.7 Enlargement
Make a shape bigger or smaller. All sides of the original shape are multiplied by the same scale factor (multiplier). Each point is enlarged from a centre point, controlling where the image ends up.
2.0 The AND rule
The probability of an event occurring AND then another event, can be found by MULTIPLYING their probabilities
2.1 The OR rule
The probability of an event OR another event occurring, can be found by ADDING their probabilities.
2.2 Expected number of outcomes
(The probability of the event occurring) x (the number of trials)
3.0 Statistics
The collection, organisation, presentation, and interpretation of data
3.1 Data
A collection of facts, words, numbers, or measurements
3.2 Qualitative Data
Descriptive information
3.3 Quantitative Data
Numerical information
3.4 Discrete Data
Can only take certain values
3.5 Continuous Data
Can take any value (within a range)
4.0 Average
The central tendency of data. There are three measures of average: The mean, median, or mode