Prob/ Stats Chp 1
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
Help!
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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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