Lecture One (t1) 23/09 Flashcards

1
Q

What is the classification of data

A

process of organising data into categories based on attributes

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2
Q

What are decisions based on?

A

Limited information

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3
Q

Why is there uncertainty when making decisions?

A

We are never given the full amount of information - we base decisions on small samples

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4
Q

What must accountants do to try make accurate decisions?

A

need to select a portion of records for auditing purposes

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5
Q

Can decisions made always be accuate?

A

No, all of the variables cannot be taken into account = uncertainty = decisions may not be accurate

for e.g. analysing a company u cant analyse the whole time they have been trading - since 1900s because of many reasons -therefore u don’t have all of the information

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6
Q

What must be done to ensure data to be efficient?

A

Now in this day and age there is LARGE amounts of data: eg internet etc
Therefore INORDER TO BE EFFICENT: DATA MUST BE SUMMARISED EFFICENTLY!

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7
Q

How can you summarize 10 years of monthly data points into a single page

A

Using charts - “A good picture is worth a thousand words”

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8
Q

What is a histogram

A

a graph type that groups data into specific buckets - e.g. what has in common = grouped

e.g. Students born in different months = split the students into buckets of their own birth months

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9
Q

What is data?

A

a collection of numbers / characters / words / text - in raw or organised form to represent facts or information.

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10
Q

What can data be used for

A

use this data to make an inference of certain things

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11
Q

What is numerical data?

A

values that represent measured or counted quantities as a number

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12
Q

What is numerical data also known as

A

Quantitative data

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13
Q

What are the two types of numerical data

A

Continuous and Discrete

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14
Q

What is Continuous data

A

data that can be measured/ take on any numerical value in specified range of values

e.g. weight can be any between 100kg

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15
Q

What is discrete data

A

numerical values that are resulted from a counting process

e.g. stock prices/ auction prices - to avoid small bets (must be larger/equal to
a certain value - they increase by a certain amount

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16
Q

What is categorical data?

A

set of data that has been broken up into different categories, can be used to label and divide a dataset into groups

17
Q

what is categorical data also known as?

A

qualitative data

18
Q

What are the two types of categorical data?

A

Nominal and Ordinal

19
Q

What is nominal data?

A

categorial values, that aren’t numerical -label variations without numbers, values are unordered, mutually exclusive ,

they can be represented by numbers but wont impact the data.

eg. gender, equality, eye colour.

20
Q

Why are nominal data mutually exclusive

A

each category is separate and cannot occur at the same time

21
Q

What is ordinal data?

A

categorical values that can be logically order or ranked

eg. best-worst,

22
Q

What are the main categories of numerical data?

A

Cross-sectional data, Time series data, Panel data

23
Q

What is cross sectional data?

A

a list of observations of specific values from multiple observation units given at a point in time

meaning u fix the time period - eg analysing the age of ALL uni students TODAY

24
Q

What is time series data?

A

sequence of observations of a SINGLE specific variable collected over time > at discrete and typically equal spaced intervals of time

analysing info from something MORE specific -eg analysing all students studying fin and account ages. So NOT the time. Just the course..

24
Q

What is panel data?

A

a mix of time series and cross sectional data

used in financial analysis and modeling.

e.g. average age of students today across the different courses ( specifically finance and data course)

25
Q

Data in ________ form are not usually easy to use for __________ ___________

A

Data in raw form are not usually easy to use for decision making

26
Q

What is be dependent on the type of graph to use

A

the variable being summarized

27
Q

What graphs can be used for categorical values?

A

-Frequency distribution
-Cross table
-Bar chart
-Pie Chart
-Pareto Diagram

28
Q

What graphs can be used for numerical values?

A

-Line chart
-Frequency distribution
-Histogram and ogive
-Stem and leaf display
-Scatter plots

29
Q

How to work out percentage

A

(value/total value) x100

30
Q

What is frequency distribution

A

a list or table containing class groupings (categories or ranges within which the data falls - creating samples)

31
Q

What does frequency distribution do?

A

its a way of summarizing data - it condenses the raw data into a more useful form

32
Q

why is frequency distribution good

A

allows for quick visual interpretation of data

33
Q

what is a graph in a frequency distribution called

A

histogram

34
Q
A