# Statistics Ch 0

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1. Raw Data
Info with a context that has been gathered but not processed
2. data
raw data cleaned up so it can be analyzed
3. individuals (subjects, experimental units)
entities on which data is collected
4. variable
charasteristics measured on individuals
5. observation (row of data, case)
measurement of a variable or collection of variables
6. Distribution of a Variable
possible values of a variable and how often each possible value occurs
7. normal distrubtion
bell curve
8. descriptive statistics
numbers and graphs that represent the data
9. inferential statistics
techniques used to collect data from a small group that is used to conclude things about a larger group
10. sample
• the
• small group used to find out things about a larger group
11. population
the larger group the the smaller group is used to draw conslusions about
12. representitive
ex: sample must be "representative" of the population

things in sample have to have similar charasteristics to those in the population

distribution of variables in sample needs to be similar to distribution of variables in population
13. census
when data collected from every individual in the population
14. statistic
numerical summary of a sample
15. parameter
numerical summary of a population
16. categorial (qualitative) variable
produces categorial data, assigns label or category to individual (ex: eye color, blue)
17. quantitative variable
• assigns meaningful # to an individual
• (ex: persons height)
18. nominal
no natural ordering of values from least to greatest (ex:eye color)
19. ordinal
ordering values from least to greatest but when it does not make sense to subtract them (ex: cancer stages I-IV)
20. interval
• natural order of least to greatest
• differencing (subtracting) makes sense
• making a ratio (dividing) does not make sense
• "0" does not mean "absence of"
21. ratio
• least to greatest natural ordering
• differencing makes sense
• ratio makes sense
• "0" means "absence of"
22. observational study
observes or questions individuals w/o imposing any conditions on them
23. sampling method
the choice of what individuals are going to represent the population
24. randomized experiment (designed experiment)
imposes something on individual then measures responses under imposed conditions
25. disadvantage of observational study
can only claim association between variables
26. adv of randomized experiement
can often determine cause and effect

## Card Set Information

 Author: meme105 ID: 255545 Filename: Statistics Ch 0 Updated: 2014-01-08 07:37:39 Tags: Statistics Folders: Description: Book Definitions Show Answers:

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