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Variables 1
Continuous Variables( measurable amounts)
• Variables that can take on any value within a
range and are measured on a numeric scale.
Discrete Variables( counts)
• Discrete variables can only take on a limited
number of values on a numeric scale.
Variables 2
• Nominal Variables
• Definition: Variables that represent categories
without any inherent order.
• Examples:
• Brand Names: Categories like "Brand A,"
"Brand B," and "Brand C."
• Geographic Location: Different regions or
countries.
Variables 3
Ordinal Variables
• Variables that represent categories with a
meaningful order but the intervals between
categories are not necessarily equal.
• Examples:
• Customer Satisfaction Levels: Rated on a scale
from "very dissatisfied" to "very satisfied."
• Product Ratings: Categorized into "poor," "fair,"
"good," and "excellent."
Variables
• Categorical Variables
Variables that represent categories or groups and
are not measured on a numeric scale.
• Examples:
• Product Type: Different types of products (e.g.,
electronics, clothing) and their impact on
consumer preferences.
• Advertising Channel: Categories like TV, radio,
social media, and their effectiveness.
Variables
Extraneous Variables
An extraneous variable is any factor that could affect the outcome
of a research study but is not being investigated.
Examples:
• Economic Conditions: Changes in the economy (e.g., recession)
could influence consumer spending independently of the
marketing strategy.
• Competitor Actions: New promotions or product launches by
competitors might affect the outcome of your marketing research.
• Consumer Trends: Shifts in consumer preferences or trends that
are unrelated to the study but impact the dependent variable.

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Variables.pptx for business research students

  • 1. Variables 1 Continuous Variables( measurable amounts) • Variables that can take on any value within a range and are measured on a numeric scale. Discrete Variables( counts) • Discrete variables can only take on a limited number of values on a numeric scale.
  • 2. Variables 2 • Nominal Variables • Definition: Variables that represent categories without any inherent order. • Examples: • Brand Names: Categories like "Brand A," "Brand B," and "Brand C." • Geographic Location: Different regions or countries.
  • 3. Variables 3 Ordinal Variables • Variables that represent categories with a meaningful order but the intervals between categories are not necessarily equal. • Examples: • Customer Satisfaction Levels: Rated on a scale from "very dissatisfied" to "very satisfied." • Product Ratings: Categorized into "poor," "fair," "good," and "excellent."
  • 4. Variables • Categorical Variables Variables that represent categories or groups and are not measured on a numeric scale. • Examples: • Product Type: Different types of products (e.g., electronics, clothing) and their impact on consumer preferences. • Advertising Channel: Categories like TV, radio, social media, and their effectiveness.
  • 5. Variables Extraneous Variables An extraneous variable is any factor that could affect the outcome of a research study but is not being investigated. Examples: • Economic Conditions: Changes in the economy (e.g., recession) could influence consumer spending independently of the marketing strategy. • Competitor Actions: New promotions or product launches by competitors might affect the outcome of your marketing research. • Consumer Trends: Shifts in consumer preferences or trends that are unrelated to the study but impact the dependent variable.