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Nilanjan Bhowmick AIR 3, CSIR NET (Earth Science)
Rucha rajesh shingvekar
Nominal data These data don’t have any meaningful order; their values are distributed to distinct categories. Examples of Nominal Data : 1)Colour of hair (Blonde, red, Brown, Black, etc.) 2)Marital status (Single, Widowed, Married) 3(Nationality (Indian, German, American) Gender (Male, Female,) 4)Eye Color (Black, Brown, etc.) Ordinal Data Ordinal data have natural ordering where a number is present in some kind of order by their position on the scale. Examples of Ordinal Data : 1)When companies ask for feedback, experience, or satisfaction on a scale of 1 to 10 2)Letter grades in the exam (A, B, C, D, etc.) Ranking of peoples in a competition (First, Second, Third, etc.) 3)Economic Status (High, Medium, and Low) 4)Education Level (Higher, Secondary, Primary) Discrete Data The term discrete means distinct or separate. The discrete data contain the values that fall under integers or whole numbers.These data can’t be broken into decimal or fraction values. Examples of Discrete Data : 1)Total numbers of students present in a class 2)Numbers of employees in a company 3)The total number of players who participated in a competition 4)Days in a week Continuous Data Continuous data are in the form of fractional numbers. Examples of Continuous Data : 1)Height of a person 2)Speed of a vehicle 3)Time-taken” to finish the work 4)Wi-Fi Frequency 5)Market share price