Chapter 2: Graphical Descriptive Techniques I Flashcards

1
Q

Methods of descriptive statistics

A

Graphical
Tabular
Numerical

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2
Q

Descriptive statistics

A

Arranging, summarizing and presenting a set of data in such a way that useful information is produced.

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3
Q

Factors that determine appropriate statistical method

A

Most importantly:
Type of data
Information that is needed

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4
Q

Objective of statistics

A

To extract information from data

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5
Q

Variable

A

Some characteristic of a population or sample (that can change within the population)

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6
Q

Values of a variable

A

Possible observations of the variable

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7
Q

Data

A

The observed values of a variable (plural)

Singular = datum

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8
Q

Types of data

A

Interval
Nominal
Ordinal

(Also ratio but for statistics ratio = interval)

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9
Q

Interval data

A

Real numbers

Quantitative or numerical

Intervals between values are meaningful

All calculations are valid

Data may be treated as ordinal or nominal

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10
Q

Nominal data

A

Categories

(Generally assigned numbers for analysis purposes, but numbers could be randomly assigned, order does not matter)

Qualitative or categorical

Only calculations based on frequency or percentage of occurances allowed

Cannot be treated as other kind of data

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11
Q

Ordinal data

A

Appears nominal except the order or the values has meaning (scales). Order of values matter

Any code that preserves the order will produce the same result. Intervals are not meaningful!

Calculations based on ordering process are valid

Data may be treated as nominal (not interval)

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12
Q

Calculations for interval data

A

All calculations permitted

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13
Q

Nominal data

A

No calculations permitted - averages are meaningless. Percentages of occurances (frequency) is meaningful

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14
Q

Ordinal data

A

Only permissible calculations involve ranking in order (median)

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15
Q

Hierarchy of data

A
In order of permissible calculations
From interval (all computations allowed) to nominal (no calculations allowed but frequencies)

High level data may be converted to low level data (but only if necessary) but not vise versa

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16
Q

Frequency distribution

A

Table presenting categories of nominal data and their frequencies

17
Q

Relative frequency distribution

A

Lists categories and the proportion with which each occurs

18
Q

Graphical presentation of nominal data

A

Bar chart and pie chart

Both good for simple presentation of numbers associated with categories IF it enhances understanding

19
Q

Bar chart

A

Generally used to display frequencies

20
Q

Pie chart

A

Generally used to show relative frequencies (as always showing parts of a whole)

21
Q

Graphical presentation of ordinal data

A

Same techniques as nominal (bar charts and pie charts)

Bar charts- bars in ascending or descending ordinal values

Pie charts- wedges typically arranged clockwise (ascending or descending)

22
Q

When to use frequency and relative frequency tables and bar and pie charts

A

1) objective is to describe a single set of data

2) data type is nominal or ordinal