Data
Data Types
Sample Types
Miscellaneous
FINAL JEOPARDY!!!
(Can't choose this one)
100

Study that involves the collection, organization, description, analysis, and interpretation of data

Statistics

100

Variables that are typically integers representing a count of objects or abstract amounts

Discrete

100

Type of sample that involves a newspaper, online website, or standing at the exit of the lunchroom

Convenience sample

100

A value, such as a percentage, that describes a population

Parameter

100

When collecting data, how can you completely eliminate sampling error?

You can't!

200

Data in its original form

Raw Data

200

The type of variables used in a Likert scale:

Strongly Disagree, Disagree, Neutral, Agree, Strongly Agree

Ordinal

200

Type of sample that involves separating population into clusters and selecting random members from each cluster

Stratified random sample

200

A condition or characteristic that can take on different values

a variable

300

How do you transform raw data into structured data?

Organize it/make it into a table!

(or something along these lines)

300

Type of data representing year height

Continuous

300

The type of sample that is the ideal, where each member of the population has an equal likelihood of being selected

Simple random sample

300

__________ variables have values that describe labels or attributes.

Categorical (or qualitative)

400

The column names of a database are called _____.

Variables

400

___________ variables have magnitude, are measureable, and units with values that carry an equal weight. 

Numerical (or quantitative)

400

You survey 50 seniors asking if they want a western theme for prom this year. Explain the difference between parameter and statistic with this example.

Parameter = % (or amount) of all seniors that want a western theme

Statistic = % (or amount) of 50 surveyed seniors who want a western theme

400

You survey 50 seniors asking if they want a western theme for prom this year. Explain the difference between the population and sample with this example.

Population = All seniors

Sample = 50 seniors

500

An attempt to make a prediction (or conclusion) based on the data we collect and analyze

Inference

500

A person's phone number could be classified as what type of data?

Nominal (it functions as a label)

500

The natural variation from sample to sample that happens by chance

Sampling error

500

Collecting samples that are not truly representative of our population causes ______.

Bias