These questions were present on the exam 2024 and were remembered by me during the review session.
1) What is the problem of falsification in the context of the empirical cycle?
a) Falsification relies too heavily on empirical evidence and ignores the role of theoretical frameworks
b) Falsification requires the existence of a universal truth, which may not always be attainable in science
c) Falsification does not always provide a clear decision on whether to reject a scientific theory or not
d) Falsification undermines the principle of skepticism by promoting blind acceptance of experimental
results
2) The experiment has a power of 80%, and I repeat the experiment many times. How often will I find a p-
value < a when we assume that H1 is true?
a) In 20% of the cases
b) In 80% of the cases
c) That depends on the level of a
d) In (1-a) *100% of the cases
3) How are power, alpha, and type 2 errors related?
a) When increasing alpha (e.g., from 0.01 to 0.05), the power increases and the number of type 2 errors
decreases
b) When increasing alpha (e.g., from 0.01 to 0.05), the power decreases and the number of type 2 errors
increases
c) Increasing alpha (e.g., from 0.01 to 0.05) has no effect on power, but the number of type 2 errors
decreases
d) Increasing alpha (e.g., from 0.01 to 0.05), does not affect type 2 errors, but it does decrease power
1) What is the problem of falsification in the context of the empirical cycle?
a) Falsification relies too heavily on empirical evidence and ignores the role of theoretical frameworks
b) Falsification requires the existence of a universal truth, which may not always be attainable in science
c) Falsification does not always provide a clear decision on whether to reject a scientific theory or not
d) Falsification undermines the principle of skepticism by promoting blind acceptance of experimental
results
2) The experiment has a power of 80%, and I repeat the experiment many times. How often will I find a p-
value < a when we assume that H1 is true?
a) In 20% of the cases
b) In 80% of the cases
c) That depends on the level of a
d) In (1-a) *100% of the cases
3) How are power, alpha, and type 2 errors related?
a) When increasing alpha (e.g., from 0.01 to 0.05), the power increases and the number of type 2 errors
decreases
b) When increasing alpha (e.g., from 0.01 to 0.05), the power decreases and the number of type 2 errors
increases
c) Increasing alpha (e.g., from 0.01 to 0.05) has no effect on power, but the number of type 2 errors
decreases
d) Increasing alpha (e.g., from 0.01 to 0.05), does not affect type 2 errors, but it does decrease power
