Chapter one Statistics

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1. Quantitative
data is represented in numbers
2. Qualitative
data is represented in words
3. The experiment
is the way to test for causes and to get results
4. Survey
a way to collect quantitative data
5. Content analysis
analyzing text such as books and using that as your data (pictures, clothing)
6. Secondary analysis
using data that you did not collect
7. Variable
empirical representations of concepts; something that changes or varies; has categories or values.
8. Concept
an idea or mental abstractions. These concepts become variables in quantitative methods.
9. Steps for concepts to become variables
• 1. conceptualization-you need a variable
• 2. operalization-you need measurement
10. Independent Variable
caused change to another variable, manipulated by the experimenter (IV)
11. Dependent Variable
what we want to measure, come after the IV (DV)
12. Intervening Variable
links IV and DV (comes between)
13. Control Variable
to test whether the inital relationship will stay the same between (IV) +(DV)
14. Categorical Variable
Separated in categories
15. Numerical Variables
The quantity of a concept being measured
16. Continuous
a variable that can only be measured with numbers that can be subdivided into smaller increments. (income, age)
17. Discrete
Variables measured with a limited number of fixed categories (gender, religion, race)
18. Mutually exclusive attributes
should only fit into one category
19. Exhaustive Attributes
should provide a category for all possible responses (every person should be able to answer the question)
20. Causal Alternate
States there is a relationship between IV+DV

Symbol (H)
21. Null Hypothesis
Is a statement of no relationship between IV+DV

Symbol (HO)

Card Set Information

 Author: Nickbodnar ID: 193289 Filename: Chapter one Statistics Updated: 2013-01-17 01:43:15 Tags: statistics chapter one math university michigan flint Folders: Description: General Statistics Show Answers:

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