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Statistical Analysis EAssignment 4 Instructions, Exercises of Statistics

Instructions for eassignment 4 in a university course. It includes details about the deadline, individual submission, formatting, data retrieval, and specific questions to answer using assigned data sets. The assignment covers concepts of variance, standard deviation, covariance, independence of variables, and correlation coefficient.

Typology: Exercises

2018/2019

Uploaded on 10/06/2019

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EAssignment 4
To be uploaded to Moodle by 14 December 2018, 23:55
This assignment is to be completed individually by each student.
If the assignment is handed in during the 24 hours following the deadline, 25 points will be
deducted. If it is handed in during the next 24 hours, another 25 points will be deducted and so
on. Hence no points can be gained after 4 days.
The answers must be typed in the spaces below between the questions, not handwritten. You can
adjust the amount of space between the questions to fit your answers. Do not attach Excel or
other printouts or hand-written material. You must only submit the Word document, and in Word
or pdf format, to Moodle.
Moodle has a 1MB size limit for students uploads (such as assignments). In order to reduce file
size, you can use the "Reduce File Size" in the File menu Word.
E-mailed assignments will not be accepted. You must upload your assignment to Moodle. It is
sufficient for one person to upload the answers for each team.
To get your data, first check the file “Assignment 4 Data set numbers.pdf.” You will find the
“data set number” assigned to you there. Then go to the Excel file titled “Assignment 4
data.xlsx”.
If you use Excel: Be careful about Excel functions. Some give you results for samples
and some for populations.
If you use R: Please contact Melikşah Demirtaş (melikdemirtas@gmail.com) for your
questions.
G. G. Akın EC 233.01 Fall 2018
pf3

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EAssignment 4

To be uploaded to Moodle by 14 December 2018, 23:

  • This assignment is to be completed individually by each student.
  • If the assignment is handed in during the 24 hours following the deadline, 25 points will be deducted. If it is handed in during the next 24 hours, another 25 points will be deducted and so on. Hence no points can be gained after 4 days.
  • The answers must be typed in the spaces below between the questions, not handwritten. You can adjust the amount of space between the questions to fit your answers. Do not attach Excel or other printouts or hand-written material. You must only submit the Word document, and in Word or pdf format, to Moodle.
  • Moodle has a 1MB size limit for students uploads (such as assignments). In order to reduce file size, you can use the "Reduce File Size" in the File menu Word.
  • E-mailed assignments will not be accepted. You must upload your assignment to Moodle. It is sufficient for one person to upload the answers for each team.
  • To get your data, first check the file “Assignment 4 Data set numbers.pdf.” You will find the “data set number” assigned to you there. Then go to the Excel file titled “Assignment 4 data.xlsx”.
  • If you use Excel: Be careful about Excel functions. Some give you results for samples and some for populations.
  • If you use R: Please contact Melikşah Demirtaş (melikdemirtas@gmail.com) for your questions.

Name: Gülşah Suileten

Questions & Answers

Use the data columns that have your data set number. For example, if your data set number is 11, use eleven1 and eleven2. Assume that each of these data columns is a population. These numbers have been measured in US dollars. Present your results with six decimal places.

  1. What is the variance of your first column of data? What is the standard deviation? Remember your data sets are not samples but entire populations. Variance = 1, Standard deviation = 1,
  2. What is the variance of your second column of data? What is the standard deviation? Variance= 1, Standard deviation = 1,
  3. What is the covariance between your two columns of data? Covariance= 0,
  4. Can you say anything about the independence of your variables? If my variables are independent, the covariance should be zero. Since the covariance is 0,332774 meaning that is not equal to zero, my variables are dependent.
  5. Find the correlation coefficient by dividing covariance with the product of the two standard deviations. Correlation coefficient = 0,
  6. Now convert all your data (in both columns) to TL’s by multiplying your data by 5.34. Repeat (1), (2), (3), (4) and (5) with your new data and write down the results below: 1. Variance = 29, Standard deviation = 5, 2. Variance = 30, Standard deviation = 5, 3. Covariance = 9,

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