Data
Study that involves the collection, organization, description, analysis, and interpretation of data
Statistics
Variables that are typically integers representing a count of objects or abstract amounts
Discrete (variables)
Type of sample that involves a newspaper, online website, or standing at the exit of the lunchroom
Convenience sample
At what college did Ms. Raiford earn her college degree?
University of Texas at Dallas (GO Comets!)
Data in its original form
Raw Data
The type of variables used in a Likert scale
Ordinal (variables)
Type of sample that involves separating population into categories and selecting random members from each category
Stratified random sample
How many students total are taking OnRamps Statistics this year?
73
Pieces of paper with information on it turned in by everyone
Type of data representing money (correct for our class)
Continuous
The type of sample that is the ideal, where each member of the population has an equal likelihood of being selected
Simple random sample
What was the first step related to your college applications that seniors should be focusing on right now?
Your recommendation letters. Start talking to teachers and coaches NOW!
Name a way raw data can be transformed into a statistic
Counting, ordering, or finding the average
Explain the difference between nominal and ordinal data
Nominal data cannot be ordered in a linear way, ordinal data can be ordered in a obvious, linear way
You survey 50 seniors asking about what theme they'd like for prom this year. Explain the difference between parameter of interest and statistic with this example.
Parameter of interest = proportion of whole senior population that want a particular theme
Statistic = proportion of sample of 50 seniors who want a particular theme
How many students earned credit for the college course last year?
50 out of 60 students
An attempt to make a prediction based on the data we collect and analyze
Inference
Both ordinal and discrete data can be ordered with numbers. Name the difference between these two types of data
Discrete data represents objects that have been counted, ordinal data numbers are just assigned and don't represent counts (averages and differences have no meaning)
The natural variation from sample to sample that happens by chance
Sampling error
How old is Ms. Raiford (in years)?
53