> **2.** A Friend of yours wishes to *estimate* the difference in the population proportion of winners between two genres - Biography (1) and Drama (2). Use the two-way table below to calculate the *sample* proportion of Biography nominees that won the Academy Award For Best Picture (phatl) and the *sample* proportion of Drama nominees that won the Academy Award For Best Picture (phatZ). Report your values below - round your answers to 4 decimal places. \"'{r tryItZa, error = T}| 2 b addmarginsCtableCmovies$genre, movies$result)) R x Nominee Winner Sum Action 23 3 26 Adventure 21 7 28 Animation 3 0 3 Biography 56 16 72 Comedy 48 8 56 Crime 23 8 31 Drama 103 27 130 Horror 2 0 2 Sum 279 69 348 \"'{r tryIth, error = T} z > # Feel free to use R as a calculator here - or leave this blank and use a calculator instead A > **3.** What is your *estimate* for the *difference* in the two population proportions? Round your answer to 4 decimal places. Hint: don't overthink it! \"'{r tryIt3, error =T} z > # Feel free to use R as a calculator here - or leave this blank and use a calculator instead \\\\\\ *Answer:* Replace this text with your answer. > **4.** Using the 'twoPopPropCI()' Function, create a *90%* confidence interva to estimate the difference in the population proportions of Biography (1) and Drama (2) movies that won the Academy Award for Best Picture. Note: you do not have to check the sample sizes assumption, but they meet the necessary requirements. \"'{r tryIt4, error = T} # Replace this text with your code I4