data handling 1
- Created by: meganjayne15
- Created on: 03-05-14 19:33
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- Data handling
- types of data
- nominal
- data that are in separate exclusive categories of the same feature the order of which has no meaning i.e. types of drug
- ordinal
- data that are in separate exclusive, categories of the same feature, the order of which does have meaning e.g. growth stages of an insect: 0-5 hours, 6-10 hours etc
- continuous
- data that can have any value in a range of allowed values i.e. birefringence values, RI values
- discrete
- either nominal or ordinal
- nominal
- two statistical tests
- non-parametric
- simpler
- more likely to get errors
- simpler
- parametric
- interprets results and identifies outliers
- non-parametric
- simpler
- more likely to get errors
- simpler
- non-parametric
- more robust
- less likely to get errors
- interprets results and identifies outliers
- non-parametric
- distribution
- normal distribuion
- peak - central
- parametric tests required
- skewed distribution
- negative skew
- more to the right
- positive skew
- more to the left
- negative skew
- test for distribution using KS test
- normal distribuion
- terms to know!
- dependant variable
- what you measure
- independent variable
- the variable which is being changed
- example: "the effect of angle of impact on length and width ratio of blood droplets"
- what you measure
- angle of impact = dependant variable
- length to width ratio = independant variable
- example: "the effect of angle of impact on length and width ratio of blood droplets"
- the variable which is being changed
- null hypothesis
- there will be no significatn difference
- alternative hypothesis
- there will be a significant difference
- repeated measures
- relationship between observations i.e. same person used - no variations
- independent
- no relationship between observations i.e. different people used - variations
- dependant variable
- p value
- 0.05 = 95% confidence
- 0.01 = 99% confidence
- greater than 0.05 (p value) there is no significant difference
- null hypothesis
- less than 0.05 (p value) there is a significant difference
- alternative hypothesis
- mean
- add all the numbers and divide by how any there are
- mode
- most common
- range
- biggest number - smallest number
- median
- put numbers into numerical order and get the middle number
- types of data
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