Small Data Analysis project (Basic)
PROJECT DESCRIPTION:
This project is comprised of a number of small tasks. To accomplish the tasks, you would need to review the provided 9 datasets. (But only need to use 4 data sets for the project) and develop research questions that you find plausible and interesting. Then, you will use Excel to split, or merge, or manipulate the relevant data, perform the analysis and present the results. Note that not all information (rows, columns) needs to be used, selecting the interesting information to be used is part of your task and will depend on your research questions.
PROJECT TASK:
Tasks: you would need to use ALL quantitative methods introduced in this course to solve your own research questions.
The methods that you need to use include:
1) Descriptive methods, Pie Charts, Bar Charts, Line Charts, and Histograms (Lecture 2);
2) Normal Distribution (Lecture 3 and 4);
3) Simple Random Sampling (Lecture 5);
4) Sample Distribution (Lecture 5);
5) Confide
This project is comprised of a number of small tasks. To accomplish the tasks, you would need to review the provided 9 datasets. (But only need to use 4 data sets for the project) and develop research questions that you find plausible and interesting. Then, you will use Excel to split, or merge, or manipulate the relevant data, perform the analysis and present the results. Note that not all information (rows, columns) needs to be used, selecting the interesting information to be used is part of your task and will depend on your research questions.
PROJECT TASK:
Tasks: you would need to use ALL quantitative methods introduced in this course to solve your own research questions.
The methods that you need to use include:
1) Descriptive methods, Pie Charts, Bar Charts, Line Charts, and Histograms (Lecture 2);
2) Normal Distribution (Lecture 3 and 4);
3) Simple Random Sampling (Lecture 5);
4) Sample Distribution (Lecture 5);
5) Confide
