[Part A: Module II - Hypothesis Testing and Statistical Inference) [Metacritic and One Night In Miami] Metacritic is a website that aggregates reviews of music, games, and movies. For each product, a numerical score is obtained from each review and the website posts the average score as well as individual reviews. The website is somewhat similar to Rotten Tomatoes, but Metacritic uses a different method of scoring that converts each review into score in 100-point scale. In addition to using the reviewer's quantitative ratings, Metacritic manually assesses the tone of the review before scoring. Historical data shows that these converted scores are normally distributed. One of the movies that the Metacritic rated was One Night In Miami. The first review came out on Sep 10, 2020 (Jamie Graham from Total Film) and other reviews started to trickle in before the movie was released on December 25, 2020. The data in the "One Night In Miami" sheet of "Part A - Data Sets for Assessment Assignment.xlsx" contains a sample of the media outlets, reviewers, scores and review dates for all reviews that Metacritic collected until the release date. Use this data set to answer questions 1 to 5. 1. 12 pt What are the sample mean and sample standard deviation of the scores in this sample? Sample mean: Sample standard deviation: 2. [2pt] A 95% confidence interval for the true average score (1) of One Night In Miami is: 95% confidence interval: 3. [2 pt) A 90% confidence interval for the true average score (H) of One Night In Miami is: 90% confidence interval: 4. 11 pt Between the 95% and 90% intervals, which one is wider and why? (a) The 90% interval because it is a less accurate interval (b) The 95% interval because it is a more useful interval (c) The 90% interval since, in order to decrease the confidence from the 95% to 90%, the margin of error should increase so that the intervals constructed using sampling will capture the true mean more often (d) The 95% interval since, in order to increase the confidence from the 90% to 95%, the margin of error should increase so that the intervals constructed using sampling will capture the true mean more often. 5. 12 pt Let p denote the population proportion of reviewers who rate One Night In Miami with a score of 85 or higher. A 95% confidence interval for p is: 95% confidence interval: 2 Get From From From Table/ Recent Beisting Data-Text/CSV Web Range Sources Connections Get & Transform Data Refreth All- Querie 19 4 A Media Outlet The New York Times Choago Sun-Timer Boston Globe 5 Empire Consequence 7 IGN Inde Wire The Film Stage 10 Entertainment Weekly 11 Poligon Los Angeles Times 0 Ancona Republe 14 Variety 15 Slatim 16 Upon 17 Paste Magazine 18 Austin Chronicle 13 The Associwed Press 20 ABC News 21 Chicago Tribune 22 RogerEbert.com 2 Obrerver 24 CNN 25 Film The 26 Original-On 27 The Observer 28 The Wall Street Jornal 29 Time 30 VON 31 Screen Rant 32 Cine Vue 33 Vue The Wrap 35 The Guardian 36 The Hollywood Reporter 37 San Francisco Chronicle 30 Reelviews 39 The Globe and Mal 40 The AV.Club 41 LarsenOnFilm 42 Washington Post 43 Sant Magazine 44 The AV Club 45 Roling Stone 46 Screen Daily 47. The Playlist 4 Vanity Fair 49. Move Nation 50 The Guardian 61 The Telegraph 52 BBC 50 54 05 56 37 50 59 B Name Soore Rew Date AO Scott 100 WW2021 Aichad Roeper 100 192021 Ty Bun 100 142021 Elen E Jones 100 10/2021 Joe Lipset 200 S152020 KnitPucho 10002020 Ke Eibland 91 3712/2020 Jared Mobwak 31 3712/2020 Leah Green 91 31/2020 Siddhar Ada 30 18/2021 Chang 90 W2021 Bd Goodbor S8 1712021 Owen Globeman 30 311212020 Chris Evangelista 50 90/2020 MLP 30/2020 Andrew Crump 3 2021 Selome Haiku 03 9712021 Jale Coyle 88 192021 Peter Travers 80 71512021 Michael Page 80 1212021 Odie Henderson 88 1223 2020 Oliver Jones 80 232020 Brian Louny OS 96/2021 Tiny Tchobanian 85 0202021 Thom Em 89 V142021 Simran Hans 80 120/2021 John Anderson 80 22712021 Stephane Zacharel 80 Y212021 Alusa Wilson 30 1212021 Moe Abdb 80 1212021 Matthew Anderson 80 V19 2021 Helen Shaw 80 142021 Alonso Dude 80 72/2020 Jonathan Romney 80 S212020 David Rooney 80 12/2020 Mokassie 75 11412021 James Berardi 42021 ShBack V2/2021 Shannon Mer 75 12021 Josh Lesen 75 142021 Arn Homeday 75 21232020 JakeCole 25342020 Kasele 75 S212020 K Au Coin 70 1142021 Fionnusla Haliga 70 S2/2020 Jessicakang 67 S2/2020 CasDaCon 65 72V2021 Roger Moore 63 715/2021 Peter Bradshaw 60 1223/2020 Robbie Collin 60 S312020 Nicholas Barber 500/2020 One Night In Miami Google Ready