orientational stuff for statistics - - high school level
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
Help!
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Individuals | the people or objects that are in the study
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variable | characteristics taht are to be measured ex. age, race
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quanitative | numerical measurements ex. # of siblings....makes sense to add or avg.
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qualitative | places an individ. into a category or group ex. brand of computer
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statistics is the study of how to: | collect,, organize, analyze, interpret - numerical info from data
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population data | the variable is from every individ. of interest
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sample data | the variable is from only some of the individ. of interest ex. income of selected residents
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Nominal measurement | date that consists of name only ex. Dell, Apple, blue, funny
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ordinal measurement | date that can be ordered. Differences cannot be calculated or interpreted. ex. class rank
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interval measurement | date can be ordered. difference between data values can be compared ex. temperature, years, no meaningful zero
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ratio measurement | data can be ordered. differences and ratios between data values can be compared. ex. age......needs measureable zero
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descriptive statistics | involves methods of organizing, picturing, and summarizing information from samples or population
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inferential statistics | involves methods of using information from a sample to draw conclusions regarding the population
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Census | using measurements form entire populations
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sampling | drawing representative subsets for the population
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observational study | observations and measurements of the individuals are conducted in a way that doesnt change the response of the variable being measured
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experiement | a treatment is dilberately imposed on the individuals in order to observe a possible change in the response of the variable being measured
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placebo | fake ex. sugar pills
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Placebo experiment | Group A gets real drug, Group B gets fake drug, Group B's response to the placebo = that of Group A
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Double Bling experiement | neither individuals in the study nor the observers know which subjects are receiving actual treatment.
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Simple Random Sampling | every sample of size n has equal chance of being selected
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NOT RANDOM SAMPLING | asking for volunteers
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Systematic sampling | population is arranged in sequential order -- every nth person is chosen
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Cluster Sampling | pop. is divided into sections. Sections are randomly chosen and ALL data in each selected section is used ex. all test scores for schools York, Sumter, and Greenville are used
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Convenience sampling | using whatever data is readily available
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Created by:
uscmegan
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