Categorical Data, Metric Data & Hypothesis Testing Categorical Data: Categorical Data : Metric Data Hypothesis Testing: Hypothesis Testing In market research, data analysis is an important step in gaining a better understanding of consumer behavior and decisions. Data collected through various research methods, such as surveys, interviews, and observations, can be classified into two main types: categorical data and measured data.
Classification data Categorical data is poland whatsapp number data data that can only take one of a number of predefined values. For example, data about a consumer's gender can only be male or female. Categorical data can be divided into two subtypes: Nominal data: Nominal data is a type of categorical data in which the values have no order or relationship to each other.
For example, data about the color of a consumer's shirt can only be red, blue, yellow, or purple. Ordinal data: Ordinal data is a type of categorical data in which the values are ordered but not evenly spaced.
The p-value is the probability of obtaining the collected
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