Final answer:
Isaiah's 93% would commonly be an A. Predicting final exam scores uses a linear regression equation; students with higher third exam scores are expected to have higher final exam scores. Verification of claims regarding pass percentages requires statistical analysis.
Step-by-step explanation:
If Isaiah checks the Canvas app at the end of the semester and sees that he has 93% in the class, his grade would typically be considered an A in a standard grading scale. To predict the final exam score for a student who scored a 90 on the third exam, we can use the given linear regression equation, which shows that a student who scored a 73 on the third exam is predicted to score approximately 179.08 on the final exam. We can apply this same approach to estimate the score of a student who obtained a 90 on the third exam.For a third exam score of 66, one would use the same model to predict the final exam score. Depending on how this linear model is structured, the prediction for a student with a 90 on the third exam would generally be higher than the score predicted for a score of 73. Without the exact model, we cannot provide the exact predicted final exam score for a third exam score of 90.In assessing claims like the one from the statistics professor who said 68 percent of his students pass the final exam, a researcher might design a study to verify this claim by collecting new data and analyzing it statistically.