For the variable "satisfaction with life", the researcher asked the subjects ten questions that are related to positive attitudes toward one's own life. Each question presents a statement and requires a response on a scale of 1 to 7 (strongly disagree to strongly agree) to indicate the subject's agreement with the statement. The researcher then calculated a composite score by averaging the 10 responses for each subject, and then he calculated an average score for the whole group of subjects. The researcher was treating this variable as a variable.

For the variable "satisfaction with life", the researcher asked the subjects ten questions that are related to positive attitudes toward one's own life. Each question presents a statement and requires a response on a scale of 1 to 7 (strongly disagree to strongly agree) to indicate the subject's agreement with the statement. The researcher then calculated a composite score by averaging the 10 responses for each subject, and then he calculated an average score for the whole group of subjects. The researcher was treating this variable as a interval variable.

Explanation:

Interval variables are those variables that have constant, equal distances between values, but the ero point is arbitrary.

Examples include the test score (35 ,70 ), the cGPA (3.4, 4.0) , Temprature in celsius etc.

As in the given scenario, for the variable "satisfaction with life", the researcher asked the subjects ten questions that are related to positive attitudes toward one's own life. Each question presents a statement and requires a response on a scale of 1 to 7 (strongly disagree to strongly agree) to indicate the subject's agreement with the statement. The researcher then calculated a composite score by averaging the 10 responses for each subject, and then he calculated an average score for the whole group of subjects. The researcher was treating this variable as a interval variable.

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