Exam #1 (Ch.1-3 & 12) Flashcards
Exam Practice
Categorical (Qualitative) Variable
Descriptive
“Quales” (Which ones?)
Ex: “Yes/No,” “Blue/Red/Brown”
Marital Status, Political Party, Eye Color
Numerical (Quantitative) Variable
“Quantas” (How many? How much? How often?)
Ex: “1, 2, 3, or 10”
Numerical:
“Discrete” Variable
“Counting” Process
Ex: “1, 2, 3, 4, 5”
Number of Cats, number of children, defects per hour
Numerical:
“Continuous” Variable
“Measuring” Process
Ex: “5.6 or 2.489”
Temperature, weight, voltage
Ex: Categorical or Numerical(Dis/Cont)?
“How many text messages
have you sent in the past
three days?”
Numerical
(discrete)
Ex: Categorical or Numerical(Dis/Cont)?
“How long did the mobile
app update take to
download?”
Numerical
(Continuous)
Ex: Categorical or Numerical(Dis/Cont)?
“Do you have a Facebook
profile?”
Categorical
(Qualitative)
Ex: Variable Type
- Major
- Class Letter Grade
- Cumulative Grade Point Average
- Number of times Uche says “ok” in class
- Which social media platform do you use the most?
- Categ. “Qualitative”
- Categ. “Qualitative”
- Num. “Quantitative” (Discrete)
- Num. “Quantitative” (Discrete)
- Categ. “Qualitative”
Primary Sources
The data collector is the one using the data for analysis
Ex: Data from a political survey, data collected from an experiment, observed data
Secondary Sources
The person performing data analysis is not the data collector
Ex: Analyzing census data, examining data from print journals or data published on the internet
Population:
consists of all the items or individuals
about which you want to draw a conclusion. The
population is the “large group
Sample:
is the portion of a population selected for
analysis. The sample is the “small group”
Categorical Data (Tallying Data)
Includes:
-One Categorical Variable (Summary Table)
&
-Two Categorical Variables (Contingency Table)
Summary Table:
tallies the values as frequencies or percentages for each category.
helps you see the differences among
the categories by displaying the frequency, amount, or percentage of
items in a set of categories in a separate column.
Contingency Table:
helps organize two or more
categorical variables
Numerical Data:
Ordered Array
Frequency Distributions
Cumulative Distributions
Ordered Array:
is a sequence of data, in rank order, from the smallest
value to the largest value.
Frequency Distribution:
is a summary table in which the
data are arranged into numerically ordered classes