A chemistry professor suspects that there is a relationship between the number of classes a student misses and that student’s score on the final exam (from 0 to 100%). The professor chooses a random sample of students in Introduction to Chemistry and collects data about each student’s final exam score and number of missed days of class.Which of the following is the most appropriate statistical test to use to determine if there is a relationship between number of missed classes and final exam scores? Matched pairs Inference for regression ANOVA Chi-squared test for independence Two-sample t-test
Question
A chemistry professor suspects that there is a relationship between the number of classes a student misses and that student’s score on the final exam (from 0 to 100%). The professor chooses a random sample of students in Introduction to Chemistry and collects data about each student’s final exam score and number of missed days of class.Which of the following is the most appropriate statistical test to use to determine if there is a relationship between number of missed classes and final exam scores? Matched pairs Inference for regression ANOVA Chi-squared test for independence Two-sample t-test
Solution
The most appropriate statistical test to use in this scenario would be "Inference for regression". This is because we are trying to determine if there is a relationship between two quantitative variables - the number of classes a student misses (independent variable) and that student’s score on the final exam (dependent variable). Inference for regression is used to analyze the relationship between two quantitative variables, making it the most suitable choice in this case.
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