Data: Week 1 Lesson 1

[Audio] Data: Week 1 Lesson 1 Categorical vs Numerical Data.

[Audio] Classifying Data In statistics, a 'variable' refers to a characteristic of data that is measurable or observable..

[Audio] A variable could be something like temperature, mass, height, make of car, type of animal or goals scored..

[Audio] We often collect data to observe and analyse changes in a variable..

[Audio] Types of data Data variables can be defined as either numerical or categorical.

[Audio] Numerical data is where each data point is represented by a number. Examples include: number of items sold each month, daily temperatures, heights of people, and ages of a population. The data can be further defined as either discrete (associated with counting) or continuous (associated with measuring). Numerical data is also known as quantitative data..

[Audio] Categorical data is where each data point is represented by a word or label. Examples include: brand names, types of animals, favourite colours, and names of countries. The data can be further defined as either ordinal (it can be ordered) or nominal (un-ordered). Categorical data is also known as qualitative data..

Types of data. Data variables can be defined as either numerical or categorical . Numerical data is where each data point is represented by a number . Examples include: number of items sold each month, daily temperatures, heights of people, and ages of a population. The data can be further defined as either discrete (associated with counting) or continuous (associated with measuring). Numerical data is also known as quantitative data. Categorical data is where each data point is represented by a word or label. Examples include: brand names, types of animals, favourite colours, and names of countries. The data can be further defined as either ordinal (it can be ordered) or nominal (un-ordered). Categorical data is also known as qualitative data..

[Audio] Categorical Data Variables that represent qualities/characteristics described with words These can be classified further as….

Categorical Data Variables that represent qualities/characteristics described with words These can be classified further as….

[Audio] Nominal: Characteristics have no order eg eye colour Ordinal: Characteristics for which there is an order eg movie ratings.

[Audio] Numerical Data Variables that represent quantities or measurements represented with numbers These can be classified further as….

[Audio] Discrete: can only take on particular values eg number of runs Continuous: can take on any value within a range eg heights.

[Audio] Types of Categorical Data: Nominal versus Ordinal.

[Audio] The word 'nominal' basically means 'name'..

[Audio] Nominal categorical data consists of words or labels, that name individual data points. Nominal data is often described as 'un-ordered' because it can't be ordered in a way that is statistically meaningful..

[Audio] The word 'ordinal' basically means 'ordered'..

[Audio] Ordinal categorical data involves data points, consisting of words or labels, that can be ordered or ranked in some way. Ordinal data is often used in surveys such as a service rating (poor, average, good, excellent), results can then be further analysed by changing the ordered ratings to numerical data..

[Audio] Which of the following are examples of numerical data? (select all that apply) Favourite flavours Maximum temperature Daily temperatures Types of horses.

Example Question 1). Which of the following are examples of numerical data? (select all that apply) Favourite flavours Maximum temperature Daily temperatures Types of horses.

[Audio] Which of the following data types is discrete? The number of classrooms in your school Daily humidity The ages of a group of people The time taken to run 200 metres.

Example Question 2). Which of the following data types is discrete? The number of classrooms in your school Daily humidity The ages of a group of people The time taken to run 200 metres.

[Audio] Which of the following are examples of numerical data (Select all that apply) Favourite flavours Maximum temperature Daily Temperature Types of horses.

Example Question 3). Which of the following are examples of numerical data (Select all that apply) Favourite flavours Maximum temperature Daily Temperature Types of horses.

Write your answers in your maths exercise book.. EXERCISE 8.01.