A team at Instagram wants to test the effects of changing individuals moods using colours. So they run a study with n = 100,000 - they find that reducing the number of posts with the colour blue on a user's timeline decreases the percentage of negative words they use in their own posts, with an associated p value that is <.001 and an effect size of d = 0.001. (Total = 7 points)

1. a) What is the statistical and practical significance of this difference (assume = .05)? Explain how you know. (2 points)
2. b) Clearly explain how the sample size of this study may have contributed to both the statistical and practical significance observed. (3 points)
3. c) Your friend (who has never taken a stats class before) reads this claim in a news report and is concerned about its findings. Given the statistical and practical significance of this difference, how would you tell her to interpret this claim? (2 points)

Please write a detailed answer thank you :)