Statistics
Qualitative, Quantitative,
Discrete and Continuous
data
1. Identify qualitative/quantitative,
discrete/continuous variables.
2. Find mean, mode, median, range
and quartiles from raw data.
3. Find quartiles from raw data.
4. Calculate the quartile range and
semi-interquartile range from raw
data.
What is statistics?
● Statistics is a branch of mathematics that
involves collecting, organizing, analyzing,
interpreting, and presenting data.
● It helps us make sense of the world by
providing tools and techniques to understand
and draw conclusions from data.
What is data?
Data is the collection of facts, such as numbers,
words, measurements, observations, or just
descriptions of things.
Quantitative data can be discrete or continuous:
● Discrete data can only take certain values (like whole
numbers)
● Continuous data can take any value (within a range)
Put simply: Discrete data is counted, Continuous data is
measured
Measures of central tendency and
dispersion
Statistics uses numerical values used to summarize
and compare sets of data:
● Measures of central tendency: is a number
used to represent the middle of a set of data
values
● Measures of dispersion: refers to the spread of
the values about the mean.
Measures of central tendency
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Statistics, quantitative and qualitative data

Statistics, quantitative and qualitative data

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    1. Identify qualitative/quantitative, discrete/continuousvariables. 2. Find mean, mode, median, range and quartiles from raw data. 3. Find quartiles from raw data. 4. Calculate the quartile range and semi-interquartile range from raw data.
  • 4.
    What is statistics? ●Statistics is a branch of mathematics that involves collecting, organizing, analyzing, interpreting, and presenting data. ● It helps us make sense of the world by providing tools and techniques to understand and draw conclusions from data.
  • 5.
    What is data? Datais the collection of facts, such as numbers, words, measurements, observations, or just descriptions of things.
  • 7.
    Quantitative data canbe discrete or continuous: ● Discrete data can only take certain values (like whole numbers) ● Continuous data can take any value (within a range) Put simply: Discrete data is counted, Continuous data is measured
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    Measures of centraltendency and dispersion Statistics uses numerical values used to summarize and compare sets of data: ● Measures of central tendency: is a number used to represent the middle of a set of data values ● Measures of dispersion: refers to the spread of the values about the mean.
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