Module 1 - Applications of Statistics and Data Definitions

Question 1

Data

Answer 1

Things about which information can be collected and analyzed.

Question 2

Data Set

Answer 2

An arranged collection of information that contains the various categories of data collected for a specific study

Question 3

Element

Answer 3

The individual and unique entry in a data set about which data has been collected, analyzed, and presented in the same manner

Question 4

Variable

Answer 4

A particular, measurable attribute that the researcher believes is needed to describe the element in their study.

Question 5

What are some categories that can characterize elements or variables?

Answer 5

people, numerical information, geographical areas, etc.

Question 6

TRUE or FALSE:

There is usually only one variable needed to provide measurable information about the element.

Answer 6

FALSE:
While in some cases there will be only one variable needed to provide measurable information about the element, most of the time there will be many variables used in the study

Question 7

Observation

Answer 7

All the information collected for each element in a study

Question 8

Why does there need to be a unique characteristic to an element?

Answer 8

In order to differentiate one element from another

and to avoid duplicating information in a study

Question 9

TRUE or FALSE:

Every study has a potential where all the variables between the differing elements will have identical values

Answer 9

TRUE:

Every study has a potential where all the variables between the differing elements will have identical values

Question 10

What is the key difference between qualitative and quantitative data?

Answer 10

Mathematical operations only make sense when performed on quantitative data.

Question 11

What are the two types of data collection?

Answer 11

Cross-sectional data
and
Time series data

Question 12

Cross-sectional data

Answer 12

is where a researcher collects information or measurements for each variable on an element at the same (or roughly same) point. The point of reference could be a time or date, a point in space (such as a split or lap time in a race), or anything else that provides a basis of when the data stopped being collected of measure.

Question 13

Cross-sectional data

Answer 13

Where a researcher collects information or measurements for each variable on an element at the same (or roughly same) point. The point of reference could be a time or date, a point in space (such as a split or lap time in a race), or anything else that provides a basis of when the data stopped being collected of measure.

Question 14

Time series data

Answer 14

Data that is collected over a specific period of time.