Situation: You are trying to design a new bird feeder, and you know that your number one enemy will be squirrels! You are trying to get a sense for how far squirrels can jump. You set up a video camera to watch a new model of bird feeder and record how far squirrels are able to jump when trying to eat the birdseed. Your data is listed below: Jump distance (feet): 7.7, 6.8, 7.5, 8.5, 7.5, 7.1, 6.1, 8.3, 10.3, 8.2, 8.8, 7.4, 8.1, 8.1, 7.9, 7.8, 7.6, 8.4

Use R to make the following calculations and graphs. Use this resource [+] for help with what code to enter. You can access R online here. If you would like to be able to save your work, check out rnotebook.io or rstudio.cloud.

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a) Calculate measures of center. Use the "mean" and "median" functions in R.

Find the mean jump distance: feet

Find the median jump distance: feet

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b) Find the five-number summary. Use the "quantile" function in R.

Min:    Q1:    Median:    Q3:    Max:

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c) Calculate measures of spread. Use your calculations above.

Find the range: feet

Find the IQR: feet

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d) Use R to make a well-labeled box-and-whisker plot. Use the "boxplot" function. Once you have the code working, copy-and-paste the code here.

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e) Use R to make a stem-and-leaf plot. Use the "stem" function. Once you have the code working, copy-and-paste the code here.

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f) Use R to make a well-labeled histogram. Use the "hist" function. Once you have the code working, copy-and-paste the code here.

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g) Use one of your plots to identify the shape of the distribution.

Select an answer Mostly Symmetric Skewed Left Skewed Right Uniform Bimodal

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h) Put it all together into a summary sentence. "The distribution of squirrel jumps appears to be Select an answer Mostly Symmetric Skewed Left Skewed Right Uniform Bimodal , centered about a median of feet (representing a typical jump), with the middle-half of jumps spread over an IQR of feet."