Statistics
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| show | The whole set of items that are of interest
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| show | Some subset of the population intended to represent the population
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| show | Each individual thing in the population that can be sampled
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| Define sampling frame | show 🗑
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| Define census | show 🗑
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| show | -Each sample has an equal chance of selection
-Each item has number
-Random number generator
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| Advantages of simple random sample | show 🗑
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| show | -Not suitable for large population
-Sampling frame needed
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| Define systematic sample | show 🗑
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| show | -Simple
-Quick
-Suitable for large populations
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| Disadvantages of systematic sample | show 🗑
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| Define stratified sample | show 🗑
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| Advantages of stratified sample | show 🗑
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| Disadvantages of stratified sample | show 🗑
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| show | -Population divided into groups according to sampling frame
-Interviewer selects quotas to reflect groups proportions
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| show | -Small sample is still representative
-Easy
-Cheap
-Comparable
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| Disadvantages of quota sample | show 🗑
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| show | Sample taken from people at the time, who meet criteria
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| show | -Easy
-Cheap
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| show | -Not representative
-Dependant on researcher
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| show | Strata size x sample size/total population
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| show | Qualitative- Descriptive
Quantitative- Numerical
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| show | Discreet- Only takes certain values
Continuous- Takes all values
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| show | Greater than Q3+k(Q3-Q1)
Less than Q1-k(Q3-Q1)
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| Define cleaning the data | show 🗑
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| What do we plot for cumulative frequency diagrams | show 🗑
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| show | Frequency density=(Frequency x k)/Class width
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| show | Continuous data
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| show | Discreet data
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| show | -Measure of location
-Measure of spread
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| What axis is the independent variable on | show 🗑
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| show | Y
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| show | There are pairs of values for two variable
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| show | Change in one variables causes a change in the other
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| show | Estimating a variable within the data range
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| Define extrapolation | show 🗑
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| show | To minimise standard deviation
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| show | For data within the data range
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| Define mutually exclusive | show 🗑
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| If events are mutually exclusive: P(A or B)= | show 🗑
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| Define independent events | show 🗑
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| show | P(A) x P(B)
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| Define random variable | show 🗑
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| Define discreet uniform distribution | show 🗑
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| show | 1
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| show | -Fixed no of trials(n)
-2 possible outcomes
-Fixed probability of success (P)
-Trials are independent of each other
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| P(X<Y)= | show 🗑
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| show | 1-P(X≤Y-1)
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| P(X>Y)= | show 🗑
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| show | The result of the experiment or the statistic that is calculated
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| show | The hypothesis you assume to be correct
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| show | Tells you about the parameter if your assumption is wrong
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| show | A region of the probability distribution which if the test statistic falls within it would cause you to reject the null hypothesis
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| show | The first value to fall in the critical region
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| show | The probability of incorrectly rejecting the null hypothesis
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| What are the steps of a one tailed hypothesis test | show 🗑
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| show | Halve the significance level
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| If y+ax^n then logy= | show 🗑
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| show | logk+xlogb
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| show | The strength and direction of the correlation
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| show | If there is LINEAR correlation
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| If we are hypothesis testing for correlation what are the null and alternate hypothesis | show 🗑
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| show | P(P|A)
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| show | P(A|B)=P(A|B')=P(A)
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| show | P(A∪B)
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| (P(B∩A))/(P(A))= | show 🗑
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| What are the probability symbols for and and or | show 🗑
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Created by:
Liam P
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