AP Stat Ch. 1-2 Quiz

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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


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