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.