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Prob/ Stats Chp 1

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Term
Definition
Variable   a characteristic or attribute that can assume different values  
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Data   the values the variable assume  
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Random Varibale   variable whose values are determined by chance  
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Data Set   a collection of data values  
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Data Value-Datum   each value of the data set  
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Probability   chance the likelihood something will happen  
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Population   consists of all subjects that are being studied  
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Sample   a group of subjects selected from a populations  
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Hypotheseis   a decision-making  
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Independent Varibale (Exploratory)    
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Dependent Event (Outcome,Resultant)    
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True vs. Quasi Experiments    
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Confounding Variable    
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Hawthorne Effect    
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Control Group    
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Treatment Group    
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Margin of Error    
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Margin of Error Interval    
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Biased Question    
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Unbiased Question    
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Sequential Sampling    
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Double Sampling    
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Multistage Sampling    
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Examples how statistics is used in everyday life   -sports -public health -education  
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Reasons to study statistics   -to understand -conduct experiments -comincate results -be a better consumer  
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Branch areas of Statistics   -Descriptive organizations, collections, presentation of data -Inferential probability, population of all subject being study, Hypothesis Testing-making process for evaluating claims about a population  
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Examples of Variables   Qualities Variables: Def: can be Ex: Gender, Color, Religion, Location Quantitative Variable: Ex: Age, Weight, Height, Body Temp  
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Boundaries   Ex: 16 you would have 15.5-16.5  
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Measurement Levels   Nominal Ex: gender,zip code, marital status Ordinal Ex: Letter Grade, Ranking Ratio Ex: Salary, Age, Height Intervals Ex: IQ Test, SAT/ACT, Temperature  
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Two Purpose of Collection Data   1: Descibe Events or Stituations 2: To help people make better decisions  
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Three Ways to Collect Data   1: Surveys 2: Surveying Records 3: Direct Observations  
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Advantages and Disadvantages of the three kinds of Surveys    
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Examples of Each Sampling Method   Random Ex:generating a number at random by the computer Systematic Ex:selecting the kth subject Stratified Ex:sort into groups on common characteristics and the sample Cluster Ex: divided into clusters then select at random  
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Examples of kind of studies    
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Two advantages for observational    
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Two disadvantages for observational    
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Two advantages for Experimental    
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Two disadvantages for Experimental    
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Identify the independent variables from studies    
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Indetify the dependent variables from studies    
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List the five uses for statistics    
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List the seven misuses of Statistics    
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Identify things that make survey question bad    
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List the Problems for getting random samples   -Every member of the population must be equal  
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List the Problems for getting systematic samples    
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