OnRamps Statistics Chapter 1 Review

Data

100

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

Statistics

200

Data in its original form

Raw Data

300

Data that is organized in a table.

Structured Data

400

Columns in structured data represent _______ .

Variables

500

An attempt to make a prediction based on the data we collect and analyze

Inference

Data Types

100

Variables that are typically integers representing a count of objects.

Discrete variables

200

Type of data representing your letter grade.

Ordinal

300

Type of data representing heights of individuals.

Continuous

400

Categorical data such as "What is your favorite movie?"

Nominal

500

Give an example of data that is categorical, but reported as a number.

Zip code, ID #, House #, Phone #, SS #, etc

Sample Types

100

What type of sampling method would you be using if you asked the 1st 20 people that walked past you to take your survey.

Convenience sample

200

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

Stratified random sample

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

400

You survey 50 seniors at Tivy, asking about what theme they'd like for prom this year. What is the population of interest?

ALL seniors at Tivy HS

500

What you are trying to study about the population is referred to as the ___________________ .

Parameter

Bias Types

100

Bias that can occur by allowing participants to choose if they are a part of your study.

Volunteer bias

200

The natural variation from sample to sample that happens by chance

Sampling Error

300

Systematically omitting certain people or groups of the population from your study.

Bias

400

Outside variable(s) that could effect your study. 

Confounding/lurking variable

500

A statistic describes what we find out about the ____________ .

Sample

RStudio

100

True/False: Case (capital/lowercase) does not matter when entering code in RStudio.

FALSE

200

True/False:  When importing data, you are allowed to change the name of the data set to make it easier to work with.

TRUE

300

To create a frequency table in RStudio, what part of the following code is incorrect?

table(datasetname.variable)

$ not .

400

When you see this symbol: <-  in code in RStudio, what are you trying to create?

A SUBSET of the data.

500

How old is Mrs. Manchee?

41