AP Stat Ch. 1-2 Quiz
discrete and continuous
What are the two types of quantitative variables?
HOW the data is collected
What can make the difference between insight and nonsense?
When and Where
What gives us information about the context?
who what, and why
What is needed to ANALYZE data?
quantitative data makes sense to average, not categorical
What type of data makes sense to average?
when you're interested in parts of the whole
When should a pie chart be used?
money
____________ is typically discrete
categorical
an individual's zip code is
experimental units
animals, plants, and inanimate subjects
Continuous
data can take on any values across a domain of the variable usually MEASUREMENTS of something
Discrete
listable set of values usually COUNTS of items
subjects/participants
people on whom we experiment
Who
tells us the individual cases for which (or whom) we have collected data
WHO, WHAT(and in what units), when, where, why (if possible), how
the 5 W's and 1 H
continuous
the amount of time it takes a student to get to school
discrete
the appraised value of homes in hallsville is
What is the area principle?
the area occupied by a part of the graph should correspond to the size of the value it represents
categorical
the colors of cars in the teacher lot is
discrete
the number of electronic devices owned by HHS students is
independent, same
variables would be considered _________________ when the distribution of one variable in a contingency table is the ________ for all categories of the other variable
1.title 2. each axis has: label, scale, and units (when appropriate) 3. data is displayed clearly 4. a key is provided (when appropriate)
A good graph has what 4 things?
Quantitative/Numerical Variable
A measured variable (with units) that answers questions about the quantity of what is being measured Ex: income ($), height (in), weight (lbs)
What are identifier variables?
Categorical variables with exactly one individual in each category Ex: social security number, ISBN, fed ex tracking number
variables
Characteristics recorded about each individual
It gives percentages (instead of counts) for each category
How is a relative frequency table different from a frequency table?
Qualitative/Categorical Variable
Names categories and answers questions about how cases fall into those categories Ex: sex, race, ethnicity
respondents
individuals who answer a survey
