or

or

taken

why

Make sure to remember your password. If you forget it there is no way for StudyStack to send you a reset link. You would need to create a new account.

Don't know
Know
remaining cards
Save
0:01

 Flashcards Matching Hangman Crossword Type In Quiz Test StudyStack Study Table Bug Match Hungry Bug Unscramble Chopped Targets

Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.

Normal Size     Small Size show me how

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
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