Hi!

Thank you for helping me today. I have a question regarding the sign test.

H₀ (Null hypothesis) = introducing a flicker has no effect (or decreases) the ability to detect two nearly identical pictures.

H₁ (Alternative hypothesis) = introducing a flicker increases the ability to detect a change in the two nearly identical pictures.

Q1) Suppose you set an alpha level of 0.10 (2-tailed) at the beginning of the experiment. State your decision with respect to H₀ and provide a conclusion

Q2) What is the probability that your decision to reject or retain H₀ in 1e represents a Type II error? Explain your answer

{QUESTION 1 AND 2 ARE RELATED TO THE TOP H0 AND H1}

Q3) What would you expect to happen to your alpha and beta levels if you were to halve the sample size for your experiment ( Sample size =25) and alpha (0.05)