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M: Ch 1

Principles of Statistics

TermDefinition
Statistics The science of planning studies & experiments; obtaining data; organizing, summarizing, presenting, analyzing, interpreting data to draw conclusions based on them
Data collections of observations (measurements, genders, survey responses)
Population the complete collection of ALL measurements or data being studied
Census the collection of data from EVERY member of the population
Sample a sub-collection of members selected from a population
Voluntary response sample sampling method which respondents decide whether to be included (usually interest-based)
not statistically significant if the likelihood of the results is likely to occur by chance
statistically significant if the likelihood of the results is highly unlikely
no practical significance when data findings do not make much of a difference to justify its use
Self-interest study a study which is sponsored by parties with interest to promote
Partial picture a study when all the information is not presented
Parameter a numerical measurement describing some characteristic of a POPULATION
Statistic a numerical measurement describing some characteristic of a SAMPLE
Quantitative Data numbers representing counts or measurements
Qualitative Data names or labels that represents counts or measurements
Discrete data results when the data values are quantitative & the number of values are finite or countable
Continuous data results from infinitely many possible quantitative values, where the possible number of values is not countable
Nominal level of measurement data that consists of names, labels, or categories only (ex. colors)
Ordinal level of measurement data that can be arranged in some order, but the differences in the values cannot be determined or are meaningless
Interval level of measurement if data can be arranged in order, differences in value are meaningful, and there is no natural starting point (ex. hours, years)
Ratio level of measurement if data can be arranged in order, differences are meaningful, and there is a natural starting point; differences & ratios are meaningful (ex. mileage, distance, volume)
missing completely at random the likelihood of a data value going missing which is just as likely to be missing as any other data value
missing not at random if the missing value is related to the reason that it's missing
Placebo a harmless, ineffective form of treatment used for psychological benefit or to compare to other treatments
Observational study observing & measuring specific characteristics without attempting to modify the subjects
Experiment applying a treatment & proceeding to observe its effects on individuals
Subject an individual unit or individuals involved in a study or experiment
Cross-sectional study data that are observed, measured, & collected ALL at once
Retrospective study data are collected from the past by going back in time (ex. records, interviews, etc.)
Confounding occurs in an experiment when the experimenter is unable to distinguish between the effects of different factors
Sampling the method used to select the subjects being studied
Created by: user-2018040
 

 



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