A biology teacher has developed a new method of teaching chi-square tests to her students. She claims this new method will improve scores on the national exam. An experiment is to be conducted to determine if there is sufficient evidence to make that claim. Which is a correct description of a Type I error? A Type I error would occur if evidence showed an improvement on the national exam and there really was improvement. A Type I error would occur if evidence showed an improvement on the national exam but there really was no improvement. A Type I error would occur if there was no evidence of an improvement on the national exam but there really was improvement. A Type I error would occur if there was no evidence of an improvement on the national exam and there really was no improvement. A Type I error would occur if the mean of the national exam increased for all students, not just the students of this biology teacher.

A Type I error would occur if there was no evidence of an improvement on the national exam but there really was improvement.

Step-by-step explanation:

A type 1 error simply occurs when we incorrectly reject a true null hypothesis. In the scenario above, An experiment was conducted in other it know if there is sufficient evidence to support a claim that a new teaching method developed improves students score. If this claim is actually true in the real sense. However, after conducting a statistical test, we conuded that there was no sufficient evidence to support her claim of improvement using the new method, hence, the claim was rejected. By rejecting the claim, a true null has been rejected. Hence, a type 1 error has been committed.

what the question so we can you out

whole number data type

step-by-step explanation:

as whole number type represents whole number

like 1, 2 ,3, 4

in other words the whole numbers are those numbers which cannot be written infraction.

since we can take days as a whole number i.e 1 day 2 day and we cannot write 1.2 day hence we will use whole number data type