| Term | Definition |
| 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 | |
