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Math 2301

Terms

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Statistics
the science of conduction studies to collect, organize, summarize, analyze, and draw conclusions from data.
Variable
A characterisitc or attibute that can assume different values.
Data
the values (*measuremetns or observations) that the variables can assume.
Random variables
Variables whose vvalues are determined by chance.
Data set
A collection of data values.
Data value or datum
Each value in the data set.
Descriptive statistics
Consists of the collection, organization, summarization, and presentation of data.
Inferential statistics
Consista of generalizing from sampes to opulations, performing estimations and hypothesis tests, determiming relationships among varible, and making predictions.
Probablity
The chance of an event occuring.
Population
Consists of all subjects (human or otherwise) that are being studied.
Sample
a group of subjects selected from a population.
Hypthesis Testing
A decision-making process for evaluating claims about a population, basedon information obtained from samples.
Qualitatiev Variables
Variables that can be placed into distinct categories, according to some characteristic or attibute.
Quantitative Variables
Are numerical and can be ordered or ranked.
Discrete variables
Are assumed valeus that can be counted.
Continuous variables
Can assume an infinite number of values between any two specific values. They are obtained by measuring. They often include fractions and decimals.
Measurement cales
How vaiables are categorized, counted, or measured.
Nominal level of measurement
Calassifies data into mutually exclusive (nonoverlappoiing), exhausting categories in which on order or ranking can be imposed on the data.
Ordinal level of measurement
Classifies data into categories that ccan be ranked; however, precise differences between the ranks do not exist.
Interval level of measurement
Ranks data, and precise differences between units of measure do exist; however, there is no meaningful zero.
Ratio level of measurement
Possesses all the characteristic os interval measurement, and there exist a true zero. In addition, true ratios exist when the same variable is measured on two different members of the population.
Random sampling
Selected by using chance methods or random numbers.
Systematic Sampling
Obtained by numbering each subject of the population and then selecting ever kth subject.
Stratified Sampling
Obtained by dividing the population into groups (called strat) according to some characteristic that is important to teh study, then sampling from each group. Samples within the strata shoudl be randomly selected.
Cluster Sampling
The population is divided into groups called clusters by some means such as geographic area or schools in a large school distric, ect. Then the researcher randomly selects some of these clusters and uses all members of the selecte cluster as the subjects of the samples.
Convenience Sample
Researchers use subjects that are convenient.
Observational Study
The researcher mrely observes what is happening or what has happened in the past and tries to draw conclusions based on these observations.
Experimental Study
The researcher manipulates one of the variables and tries to determine how the manipuation influences other variables.
Quasi-experimenta study
Like experiemental, but uses intact groups.
Independent variable
In an experimental study is the one that is being manipuated by the researcher. aka: explanatory variable.
Dependent variable
The resultant variable from an independent variable. aka: Outcome variable.
Treatment group
The group that received the special instruction
Control group
The group that did not recieve special instruction
Hawthorne Effect
Researchers foudn that subjects who knew they were participating in an experiemtn actually changed thier behavior in ways the affeced the results of the study.
Confounding variables
On that influeences the dependent or outcome variable but cannot be separated from the independent variable.

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