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- 1Interpreting Standardised ScoresIf SS = negative, it is below average
If SS = positive, it is above average - 2Weighted MeanWhen you find the mean of multiple things that carry different weights
- 3Evie's MottoCorrelation does not imply a causal relationship
- 4Type of skew (Histograms)-Positive
-Negative
-Symmetrical
-No - 5HistogramsSimilar to bar charts but with no gaps
- 6Sample (Definition, One advantage and One disadvantage)Data about only a portion of the population
Adv - Quicker and Cheaper
Disadv - Could introduce bias - 7Systematic SamplingUsing a method to choose your sample
E.g numbering your data and using only odd numbered data - 8Quota SamplingHaving to find a certain amount of data e.g 20 women
- 9Random SamplingEveryone has an equal chance of being chosen e.g names out of a hat
- 10Name the 5 types of correlation-Strong Positive
-Weak Positive
-Strong Negative
-Weak Negative
-No correlation - 11Causal RelationshipsWhen a change in one variable directly causes a change in another variable
- 12QuantitativeNumerical data
- 13QualitativeData using worded answers
- 14Spearman's rankIf it is closer to 1, it is a positive correlation.
If it is closer to -1, it is a negative correlation. - 15Standard DevitationThe range about the mean
- 16Primary Data (Definition, One adv and One disadv)Data you have collected yourself.
Adv - it is more reliable
Disadv - it can be time consuming - 17Secondary Data (Definition, One adv and One disadv)Data from second hand sources
Adv - quick and cheap
Disadv - possibly unreliable - 18Continuous DataData that can have any numerical value (only quantitative data)
- 19Discrete dataData that consists of whole values e.g shoe size (only quantitative data)
- 20Categorical dataData that can be put in categories
- 21Ranked dataData that can be put in an order e.g judge's scores
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- GCSE Statistics Fichas sobre Sin título, creado por Beth Barnes el 26/04/2017.
- Creado por
- Beth Barnes
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