(4 points) A researcher records information about black cherry trees in an orchard. One variable of interest is the height of the trees. The heights (in feet) of 21 black cherry trees are shown in the vector below. To use the data, copy and paste the following line into your R or RStudio console. Height-c(85,72,79,64,69,75,71,77,85,74,80,86,83,63,87,74,69,82,75,75,75); a. Compute the mean, median, Q1 , and O, of this data: Use R for your calculations and round to at least five decimals if necessary Mean: Median: 21: b. Consider a height of 44 feet. Would this value considered an outlier based on this sample? Use any relevant values from part a. in your calculation if necessary. A. Yes O B. NO b. Consider a height of 44 feet. Would this value considered an outlier based on this sample? Use any relevant values from part a. in your calculation if necessary. A. Yes O B. No C. There is not enough information to determine if this value would be considered an outlier c. The smallest 50% of observations in this dataset fall below what value? Use any relevant values from part a. in your calculation if necessary. Answer: #!: Round to at least five decimals if necessary d. To collect her sample, the researcher had a list of all the trees in the orchard (each is uniquely identified by a tag number). She selected every thirteenth tree on the list to include in her sample. Which of the following sampling methods best describes the sampling technique the researcher used? A. Cluster sampling B. Convenience sampling C. Systematic sampling D. Stratified sampling