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Prob/ Stats Chp 1

TermDefinition
Variable a characteristic or attribute that can assume different values
Data the values the variable assume
Random Varibale variable whose values are determined by chance
Data Set a collection of data values
Data Value-Datum each value of the data set
Probability chance the likelihood something will happen
Population consists of all subjects that are being studied
Sample a group of subjects selected from a populations
Hypotheseis a decision-making
Independent Varibale (Exploratory)
Dependent Event (Outcome,Resultant)
True vs. Quasi Experiments
Confounding Variable
Hawthorne Effect
Control Group
Treatment Group
Margin of Error
Margin of Error Interval
Biased Question
Unbiased Question
Sequential Sampling
Double Sampling
Multistage Sampling
Examples how statistics is used in everyday life -sports -public health -education
Reasons to study statistics -to understand -conduct experiments -comincate results -be a better consumer
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
Examples of Variables Qualities Variables: Def: can be Ex: Gender, Color, Religion, Location Quantitative Variable: Ex: Age, Weight, Height, Body Temp
Boundaries Ex: 16 you would have 15.5-16.5
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
Two Purpose of Collection Data 1: Descibe Events or Stituations 2: To help people make better decisions
Three Ways to Collect Data 1: Surveys 2: Surveying Records 3: Direct Observations
Advantages and Disadvantages of the three kinds of Surveys
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
Examples of kind of studies
Two advantages for observational
Two disadvantages for observational
Two advantages for Experimental
Two disadvantages for Experimental
Identify the independent variables from studies
Indetify the dependent variables from studies
List the five uses for statistics
List the seven misuses of Statistics
Identify things that make survey question bad
List the Problems for getting random samples -Every member of the population must be equal
List the Problems for getting systematic samples
Created by: lrk47012
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