Basics
Data- Measurement
Sampling
Categorize these methods
20

Observations that have been collected

What is Data?

20

Height,Weight,Age

What is Quantitive?

What is Discrete?

20

Each member of the population has  equal chance of being selected.

What is Random Sampling?

20

To avoid working late, a quality control analyst simply inspects the first 100 items produced in a day.

What is Convenience?

40

Complete collection of all elements under study

What is Population Data?

40

Gender, Religion, Jersey numbers

What is Qualitative Data?

What is Nominal Data?

40

Select some starting point then select every kth element in the population.

What is Systematic Sampling?

40

An education researcher randomly selects 48 middle schools and interviews all the teachers at the school.

What is Cluster?

60

Subcollection of the members from the population

What is Sample Data?

60

Number of people, Number of cars, Grade Letters

What is Discrete Data?

What is Ordinal 

60

Select elements from the population which are easiest to get data from.

What is Convenience Sampling?

60

A tax auditor selects every 100th income tax return that is received.

What is Systematic?

80

Numerical measurement calculated from population data

What is Parameter?

80

Difference between two measurements can be quantified.

What is Interval Data?

80

Subdivide the population into different subgroups then draw the simple random sample from them.

What is Statrified Sampling?

80

A market researcher randomly selects 300 drivers less than 25 years of age and 400 drivers over 25 years of age.

What is Stratified?

100

Numerical measurement calculated from sample data

What is Statistic?

100

Has a natural zero as starting point.

What is Ratio Data?

100

Subdivide the population into different subgroups, then draw clusters as sample and collect data from all elements.

What is Cluster Sampling?

100

A pollster uses a computer to generate 420 random numbers and interviews the voters corresponding those numbers?

What is Random?