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Vocabulary

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Term
Definition
qualitative variables   variables that can be placed into distinct categories, data is not numbers  
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quantitative variables   numerical and can be ordered or ranked  
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statistics   the science of conducting studies to collect, organize, summarize, analyze, and draw conclusions from data  
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How statistics is used in everyday life?   1.used in fields of human endeavor-sports, public health, and education 2.analyze the results of a survey 3.a tool in scientific research to make decisions based on controlled experiments 4.operations research, quality control estimation, predictions  
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Reason students study statistical studies   1.to be able to understand statistical studies 2.to be able to conduct research, design experiments, make predictions and communicate results 3.to become better consumers  
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variable   a characteristic or attribute that can assume different values  
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data   the values the variables assume  
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random variables   variables whose values are determined by chance  
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data set   collection of data values  
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data value   each value of the data set  
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descriptive statistics   consists of the collection organization, summarization, and presentation of data  
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inferential statistics   consists of generalizing from samples to populations performing estimations and hypothesis test, determining relationships among variables, and making predictions  
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uses probability   the chance of an event occuring  
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sample   group of all subjects that are being studied  
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hypothesis testing   decision making process for evaluating claims about a population based on information from samples  
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discrete variable   variables that assume values that can be counted such as # of children  
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continuous variable   variables that can assume an infinite number of values between any two specific values. They are obtained by measuring-often contain fractions and decimals  
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Nominal level of measurements   classifies data into mutually exclusive (nonoverlapping) exhausting categories in which no order or ranking can be imposed on the data  
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Ordinal level of measurements   classifies data into categories that can be ranked, however, precise differences between the ranks do not exist  
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interval level of measurements   ranks data and precise differences between units of measure do exist, however, there is no meaning true zero  
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ratio level of measurements   possesses all the characteristics of interval measurement and there exists a true zero  
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surveys   telephone, mailed questionnaire, personal interview  
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random sampling   selected by using chance methods or random numbers  
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systematic sampling   obtained by numbering each subject of the population and then selecting every kth subject  
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stratified sampling   obtained by dividing the population into groups (called strata) according to some characteristics important in the study. Then get hte sampling from each group.  
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cluster sampling   selected by dividing the population into intact groups called clusters that is representative of the population. Then some of these clusters are selected at random and all members of the selected cluster are subjects  
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convenience sampling   may not be representative but can be  
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unbiased sampling   chosen at random from a population  
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biased sampling   selected incorrectly an error was made in the selection  
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sequential sampling   used in quality control successive units taken from the production line and sampled to ensure the product meets the standards  
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double sampling   large population is given a questionnaire to see who meet the requirements for the study, after reviewing the questionnaire a smaller population is defined and a sample is chosen from this pop.  
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observation study   researcher merely observes what is happening and draws conclusions  
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experimental study   researcher manipulates one of the variables  
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Kinds of experimental study   true experimental and quasi-experimental  
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true experimental   subjects should be assigned to to groups randomly and treatment s assigned randomly  
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quasi-experimental study   when random assignments are not possible  
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independent variable   Explanatory variable-the one that is being manipulated  
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dependent varibable   Outcome variable-resultant variable-the variable  
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treatment group   group that receives the treatment  
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control group   group that doesn't receive the treatment  
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