Untitled1* x Source on Save a 1 # Open the data file mtcars Run ✰✰Source Asif's Command 2 3 4 # Attache the file Asif's Command attach(mtcars) - # Mean of mileage Asif's Command 5 6 mean (mpg) 7 8 # First quartile of mileage - Asif's Command quantile (mpg, 0.1) 9 - # 9:14 # (Untitled) RR 4.3.1 ~ 2 mpg cyl disp hp drat Mazda RX4 Mazda RX4 Wag Datsun 710 4 108.0 93 3.85 2.320 18.61 wt qsec vs am gear carb 21.0 6 160.0 110 3.90 2.620 16.46 0 1 21.0 6 160.0 110 3.90 2.875 17.02 0 1 22.8 4 4 4 4 1 1 4 1 Hornet 4 Drive 21.4 Hornet Sportabout 18.7 Valiant 18.1 6 258.0 110 3.08 3.215 19.44 8 360.0 175 3.15 3.440 17.02 6 225.0 105 2.76 3.460 20.22 1 0 3 1 00 3 2 1 0 3 1 Duster 360 14 3 8 360 a 245 3 21 3 570 15 84 ค a 3 4 R Script

1. Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include:
   • Mileage (mpg)
   • Number of Cylinders (cyl)
   • Displacement (disp)
   • Horsepower (hp)

Research: Google to understand these variables.

1. Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp
   • Mean
   • Median
   • First Quartile (Q1)
   • Second Quartile (Q2)
   • Third Quartile (Q3)
   • Fourth Quartile (Q4)
   • 10th Percentile
   • 70th Percentile
   • Skewness
   • Kurtosis
2. Document Your Results:
   • In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. "# Mean of mileage – Your name’s command"
   • In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the following table.
3. Once you are done with this process, choose hp or horsepower variable from the same data, and repeat the same process and provide separate results (both snapshots and table)

please help