Chapter 1.1
Chapter 1.2
Chapter 2.1
Chapter 2.2/Misc.
100

The art and science of collecting, presenting, and analyzing data to answer an investigative question.

What is statistics?

100

The total set of subjects in which we are interested.

Population

(The subset is the Sample. In Inferential statistics we gather data from the Sample and apply it to the Population)

100

Gender, Religion, Grade, Etc. are all types of what Variables?

Categorical

100

List one graph for Categorical variables.

(From the notes) Pie Chart, Bar graph

200

The three components of statistics for answering a statistical question.

Design, Description, Inference

200

Explain the difference between Descriptive and Inferential Statistics. 

Descriptive - summarizing the collected data, not applying it to any bigger set (i.e. the population)

Inferential - predicting things about a population based on the data from the sample. 

200

The frequency of a specific event divided by the total frequencies is...?

The proportion (percentage is the proportion * 100)

200

List 2 of the 3 graphs for Quantitative Variables. 

(From the notes) Dot Plot, Stem-and-Leaf Plot, Histogram

300

Quantifying how likely a specific outcome is. 

What is Probability?

300

A numerical summary of the POPULATION. 

What is a paramater?

300

The way observations fall across the range of possible values.

What is the distribution?

300

This is an example of what type of graph?

A Histogram

400

Information we gather from surveys, experiments, studies, etc.

What is Data?

400

A numerical summary of a SAMPLE from the population.

What is a statistic?
400

A table listing possible values for a variable along with the frequency of each value.

What is a frequency table?
400
Parameter or Statistic?


The average GPA in Georgia College's graduating class?

Tricky, but its a parameter.

500

What component is being utilized here?

53% of the respondents preferred chocolate over vanilla.

Description

500
The expected variability from one RANDOM sample to the next RANDOM sample. 

What is the Margin of Error?

500

Name the two types of Quantitative variables, and explain the difference.

Continuous - Measured, intervals

Discrete - Countable, a set of separate numbers

500

(Pulled directly from the worksheet)

A survey of 1004 American adults 18 yrs and older were asked, "Do you have a great deal of concern regarding global warming (The greenhouse effect)?" Of the 1004 adults surveyed, 40% said they worried about global warming a great deal.

Calculate the margin of error for the results, and interpret. 

ME = 1/sqrt of n * 100

1/sqrt of 1004 * 100 = 3%

40% + or - 3% = [37%,43%]