IMPORTANT: 1] For all graphs, please label the axis and ensure proper titles are used. 2] Each group will be expected to create a Google document for the lab report where students will type their answers (in sll sentences] and pastethe Rtor Rcommanderloutput (where necessary] for each lab question. 3] Completed assignments will be saved as a PDF le, submitted, graded, and returned on eClass. 4] Each lab group MUST upload and submit only ONE lab report, so students MUST work together to complete the lab assignment. 5] Please see the lab Submission Info tab through the Lab Information link in the Labs section on eClass for details on how to submit your lab report on eClass. DISPLAYING AND DESCRIBING DISTRIBUTIONS ln this lab assignment, you will use some graphical and numerical tools available in R to explore the dataset including the information about the winners for the Best Actor and Best Actress awards from the first to the 85\"\" Oscars. In particular, you will learn: how to display the data visually using the histogram, boxpiot, and scatterpt'ot; how to describe the data by calculating some summary statistics such as the mean, median, standard deviation, quartiies, and interquartiie range (IQRJ; and how to obtain the summaries for categorical data using frequency and contingency tabies. Before you start working on the assignment, you should get familiar with the Lab 1' Instructions. Oscars: Best Actors and Actresses The Academy Awards, popularly known as the Oscars, are the most prestigious film awards in the United States. They have been going since 1929 and are the awards that likely everyone in the movie business wants to win. The Oscars' annual ceremony is probably the most-watched awards ceremony in the world. Every year, an actor and an actress are chosen for the Best Actor and the Best Actress awards. In this assignment, we will use some basic statistical tools available in R to explore the dataset including the information about the winners for Best Actor and Best Actress awards from the first to the 85\"1 Oscars. Although there have been only 85 Oscar ceremonies between 1929 and 2013, there are 86 male winners and 86 female winners because a tie occurred on two occasions (1933 for Best Actor and 1969 for Best Actress]. This dataset is available in the Data link located in the Lab 1 tab display in the Labs section on eClass. Please import the data into R. The data are not to be printed in your submission. Oscars: Best Actors and Actresses The Academy Awards, popularly known as the Oscars, are the most prestigious film awards in the United States. They have been going since 1929 and are the awards that likely everyone in the movie business wants to win. The Oscars' annual ceremony is probably the most-watched awards ceremony in the world. Every year, an actor and an actress are chosen for the Best Actor and the Best Actress awards. In this assignment, we will use some basic statistical tools available in R to explore the dataset including the information about the winners for Best Actor and Best Actress awards from the first to the 85\"1 Oscars. Although there have been only 85 Oscar ceremonies between 1929 and 2013, there are 86 male winners and 86 female winners because a tie occurred on two occasions {1933 for Best Actor and 1969 for Best Actress]. This dataset is available in the Data link located in the Lab 1 tab display in the Labs section on eClass. Please import the data into R. The data are not to be printed in your submission. The following is a description of the variables in the data file: Variable Name Description of Variable GENDER Gender {m = male; f= female], YEAR Year the Oscar was awarded, NAME Winner's full name, MOVIE Name of the movie in which the winner acted, BP Birthplace {State, if born in USA: Country, otherwise], BM Month in which the winner was bom, BY Year in which the winner was born, 3. Now, define a new variable SEASON based on the following groups (BM in parentheses): Winter: December (12), January (1), February (2) Spring: March (3), April (4), May (5) Summer: June (6), July (7), August (8) Fall: September (9), October (10), November (11) (a) Find the frequency table and bar chart of the variable SEASON. Paste the table in your report. Can we conclude that the distribution of Oscar winners distributed evenly among the four seasons? Is there any season with a considerably different relative frequency? If yes, which season? (b) Find the contingency table of GENDER and SEASON. Paste the table in your report. Comment on the distribution of Oscar winners distributed among seasons and genders. (c) Obtain a bar chart of the conditional distribution of SEASON for GENDER. Do you think the distribution of Oscar winners on SEASON depends on GENDER? Explain. Obtain the age of the winner at the beginning of the winning year, according to the formula: AGE = YEAR - BY - 1. The data are not to be printed in your report. 4. In this question, you will examine the distribution of this new variable AGE. (a) Obtain the frequency histogram of the variable AGE for the 172 observations, starting at age 20 and using intervals of 10 years. (Hint: R assumes that the right endpoint of each interval is included. Your histogram should include the left endpoints.) Paste the plot into your report. What is the shape of the histogram? Is the variable AGE distributed evenly throughout the range of the variable? From the histogram, approximately how many Oscar winners fall in the age interval between 30 and 50 years, inclusive? (b) Obtain the frequency histogram of AGE for males and females separately, using the same interval information as part (a). Paste the plots into your report. Describe the shape of each histogram. In particular, which age interval is the most likely to have Oscar winners