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Descriptive Statistics and Introduction to R

来源:珠穆朗玛网 发布时间:2019-11-08

Statistics留学生作业代做、R课程设计作业代做、代写R程序语言作业调试、代写data作业
Descriptive Statistics and Introduction to R
Overview and Rationale
It is important for you to be able to describe data numerically and graphically and using
multiple regression to predict influential variables. In this assignment you will use R in a
hands-on experience on data analytics as a review.
Course Outcomes
This assignment is directly linked to the following key learning outcomes from the course
syllabus:
• Describe data numerically and graphically and predict influential variables for real world
business problems
Assignment Summary
Use R functions to characterize data numerically by using descriptive statistics and
graphically.
You will then report your work and findings in a paper of appropriate length accommodate
the content .
Use the following supporting materials for R syntax, data sets and tools:
• Using R for Data Analysis and Graphics by J H Maindonald.
• Quick R
Follow the instructions below for each part of the assignment:
Submission Guidelines
Please submit your R code as a commented R-script (with R-Studio project file if available)
or R-notebook, the output, graphs and figures (if any), and your interpretation. Providing
alternative ways to calculate the same data in R (there are usually multiple ways of doing
same thing in R), compare, reason why you prefer one over the other is a plus.
Task 1
Use the “Trees” data or another data set that is part of R. Then, use the functions in sections
2.5, 3.5 and 3.6 of “Using R for Data Analysis and Graphics” to describe data numerically
and construct the graphs to describe data graphically. Follow the steps below.
a. Invoke R and use the “Tree” dataset
b. Find the 5 summary numbers in the data
c. Create Histograms and density plots
d. Create Boxplots
e. Normal probability plots
Follow the submission guidelines, see above.
Task 2
According to CDCP, in 2010 the average height of adult women/men in the USA was 63.8
inches, with the standard deviation of 2.7 inches. Calculate the standardized height (zscore)
of a U.S. woman who is 71 inches tall. Feel free to find the data for adult women/men
in the country of your choice and calculate their standardized height. Explain what the
findings mean. Follow the submission guidelines, see above.
Task 3
Using “weight-height.csv” data file (https://www.kaggle.com/mustafaali96/weight-height), plot a
histogram of men’s and women’s height (or weight) distributions and overlay them so you
can see both distributions at the same time. Follow the submission guidelines, see above.
Task 4
Using R, generate z-score data. Using that data, calculate SD. Follow the submission
guidelines, see above.
Report
Follow the submission guidelines, see above combined in a document that has your name,
course information, instructor name, and the assignment number.

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