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DATA ANALYSIS
We will soon show them our signs in the universe and in their own
souls, until it will become quite clear to them that is the truth. It is not
sufficient as regards your Lord that. He is a witness over all things?
Fussilat : 53
This verse urged all people to acquire all knowledge in various disciplines
including science and science social field (Sulaiman, 1995).

CONTENT

Type of Data
Normal
Distribution
Non-Normal
Distribution
Time Series
Continuous
Non-Continuous

Prepared by:
Zanatul Shima Aminuddin
4130101

PRIMARY













SECONDARY

Informal discussions;
brainstorming
Focus groups
Observational Methods
Surveys
Interviews
Experiments

Books, magazines, journal
News papers
Case materials
Computer or manual databases
Report published by various
private (e.g. Annual Reports of
companies) and public
organizations or government
departments (official statistics by
the Statistical Office)
QUANTITATIVE

RATIO
absolute zero

INTERVAL
equal interval

NOMINAL
QUALITATIVE

categories
ORDINAL
ranking

MEASUREMENT SCALE
DISTRIBUTION OF DATA
Diagram of Normal Distribution
The mean (μ ) = 0
and Standard
deviation (σ) =1

The mean (μ ) = 0 and S.Deviation (σ) =1

The Characteristics of Distribution:
Measures of Central Tendencies
(mean, median & mode) – to describe the
overall centre of a data
Measures of Dispersion (variance, standard
deviation & range etc) – to describe how data
points are scattered
Shape of Distribution – (symmetry & kurtosis) –
to measure the data distribution

Median ≥ Mean

Mean ≥ Median
Diagram of
Non-normal
Distribution
TIME SERIES DATA
• Obtained by observing response variable at regular time periods
• Forecast based only on past values
• Assumes that factors influencing past, present, & future will
continue
• Time series data is a sequence of observations
– collected from a process
– with equally spaced periods of time
CONTINUOUS DATA
Data are numerical
characteristics that are
MEASURABLE

NON CONTINUOUS DATA
Data are numerical
characteristics that are
COUNTABLE

CONTINUOUS & NON CONTINUOUS DATA

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Data Analysis

  • 1. DATA ANALYSIS We will soon show them our signs in the universe and in their own souls, until it will become quite clear to them that is the truth. It is not sufficient as regards your Lord that. He is a witness over all things? Fussilat : 53 This verse urged all people to acquire all knowledge in various disciplines including science and science social field (Sulaiman, 1995). CONTENT Type of Data Normal Distribution Non-Normal Distribution Time Series Continuous Non-Continuous Prepared by: Zanatul Shima Aminuddin 4130101
  • 2.  PRIMARY           SECONDARY Informal discussions; brainstorming Focus groups Observational Methods Surveys Interviews Experiments Books, magazines, journal News papers Case materials Computer or manual databases Report published by various private (e.g. Annual Reports of companies) and public organizations or government departments (official statistics by the Statistical Office)
  • 4. DISTRIBUTION OF DATA Diagram of Normal Distribution The mean (μ ) = 0 and Standard deviation (σ) =1 The mean (μ ) = 0 and S.Deviation (σ) =1 The Characteristics of Distribution: Measures of Central Tendencies (mean, median & mode) – to describe the overall centre of a data Measures of Dispersion (variance, standard deviation & range etc) – to describe how data points are scattered Shape of Distribution – (symmetry & kurtosis) – to measure the data distribution Median ≥ Mean Mean ≥ Median Diagram of Non-normal Distribution
  • 5. TIME SERIES DATA • Obtained by observing response variable at regular time periods • Forecast based only on past values • Assumes that factors influencing past, present, & future will continue • Time series data is a sequence of observations – collected from a process – with equally spaced periods of time
  • 6. CONTINUOUS DATA Data are numerical characteristics that are MEASURABLE NON CONTINUOUS DATA Data are numerical characteristics that are COUNTABLE CONTINUOUS & NON CONTINUOUS DATA