Chapter 2 Graphical Descriptive Techniques 1 Flashcards

1
Q

What is a variable

A

Some characteristic of a population or sample. Usually represented using X, Y, Z

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2
Q

What are the values of the variable

A

The possible observations of the variable (the range of possibilities, ex. the values of a statistics exam marks are the integers between 0 and 100)

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3
Q

What is Data

A

The observed values of a variable

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4
Q

What is the singular word for data

A

Datum (Ex. The mark of one student is a datum)

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5
Q

What are the three types of data?

A

Interval, nominal and ordinal

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6
Q

What two data types are combined for the purposes of statistics

A

Ratio and Interval data

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7
Q

What is interval data?

A

Real numbers such as:
Heights, weights, incomes and distances

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8
Q

What is interval data also referred to as?

A

Quantitative or numerical data

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9
Q

What is nominal data?

A

The value of nominal data are categories

Usually represented by numbers attached to a category

1 = Single
2 = Married
3 = Divorced

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10
Q

What is nominal data also referred to as?

A

Qualitative or categorical data

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11
Q

What is ordinal data

A

Appears to be nominal, however in ordinal data the order of values has meaning (Ex. rating systems ranging from 1-5, etc.)W

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12
Q

Can the order from ordinal data help you determine differences between the ranks

A

No, since the ranking only gives information about the ranking and does not give any other type of information to calculate differences.

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13
Q

Name the three types of data and what calculations are permitted on them

A

Interval Data: all calculations

Nominal Data: no calculations, only thing permitted is to count or computer the percentages of the occurrences of each category

Ordinal Data: only permissible calculations are those involving a ranking process (Ex. calculation of a median)

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14
Q

List out the Hierarchy of Data for the three data types

A

Interval:
Values are real numbers
All calculations are valid
Data may be treated as ordinal or nominal

Ordinal:
Values must represent the ranked order of the data
Calculations based on an ordering process are valid
Data may be treated as nominal but not as interval

Nominal
Values are the arbitrary numbers that represent categories
Only calculations based on the frequencies or percentages of occurrence are valid.
Data may not be treated as ordinal or interval

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15
Q

Explain the Hierarchy of Data and what changes between data are allowed, as well as their effect on the quality of the information

A

Interval
Ordinal
Nominal

A data type can be represented as a data type below itself, however it can no be represented by a data type above itself.
In the transfer below data types, information is lost.

Example:
A mark of 62 at school is interval data
That same mark can be represented by a letter grade (however that letter grade has a greater range therefore the more accurate measurement of the mark is lost)
That mark can be determined to be either a pass or fail which would be a nominal data type, further causing more loss of information

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16
Q

What is a frequency distribution, as well as what is a RELATIVE frequency distribution

A

A frequency distribution is the summarization of the frequency of each value of the variable

A relative frequency distribution lists the categories and the proportion with which each occurs

17
Q

What are the two graphical methods used to present frequency distribution

A

The bar chart and the pie chart

18
Q

What are univariate techniques

A

Techniques applied to single sets of data

19
Q

What are bivariate techniques

A

Techniques that depict the relationship between variables

20
Q

What is a cross-classification table (cross-tabulation table)

A

Use to describe the relationship between two nominal variables

21
Q

What is the objective and data types that identify when to use frequency and relative frequency tables, bar and pie charts

A

Objective: Describe a single set of data
Data type: Nominal or ordinal

22
Q

What is the objective and data types that identify when to use a cross-classification table

A

Objective: Describe the relationship between two variables and compare two or more sets of data
Data type: Nominal

23
Q
A