Advanced Statistics

  • College Of Computing & Information Technology |
  • English

Description

The course is intended to give basic knowledge of the theory and methods of statistical inference, i.e., how to use observed data to draw conclusions about phenomena influenced by random factors. By the end of the course, the student should be able to: use a probability model to describe and analyses observed data and draw conclusions concerning interesting parameters; understand the principles of statistical inference; explore the relationships between two or several variables and use suitable software (R) for certain types of statistical analyses.

Program

Software Engineering bachelor`s degree Program

Objectives

  • • Use statistical methodology and tools in the problem-solving process.
    • Compute and interpret descriptive statistics using numerical and graphical techniques.
    • Understand the basic concepts of probability, random variables, probability distribution, and joint probability distribution.
    • Compute point estimation of parameters, explain sampling distributions, and understand the central limit theorem.

Textbook

Michael J. Crawley, Statistics: An Introduction using R, Wiley

Course Content

content serial Description
1Sampling and probability (Random sampling- Probability calculations and combinatory)
2Distributions (Discrete- Continuous)
3Introduction to R
4Statistics and graphical display for single data (Histograms- Q-Q plots- Boxplots)
5Statistics and graphical display for grouped data (Histograms- boxplots- Stripcharts)
6Generating tables and Marginal tables and relative frequency
7Correlation
8Correlation (Pearson -Spearman) and Simple linear regression
9Prediction and confidence bands
10One-sample T- test
11Two-sample T-test
12The paired T-test
13The paired T-test
14Wilcoxon signed-rank test
15Chi-square test - Goodness of fit
1Sampling and probability (Random sampling- Probability calculations and combinatory)
2Distributions (Discrete- Continuous)
3Introduction to R
4Statistics and graphical display for single data (Histograms- Q-Q plots- Boxplots)
5Statistics and graphical display for grouped data (Histograms- boxplots- Stripcharts)
6Generating tables and Marginal tables and relative frequency
7Correlation
8Correlation (Pearson -Spearman) and Simple linear regression
9Prediction and confidence bands
10One-sample T- test
11Two-sample T-test
12The paired T-test
13The paired T-test
14Wilcoxon signed-rank test
15Chi-square test - Goodness of fit

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.
Courses
  • Degree Bachelor
  • Code: EBA3201
  • Credit hrs: 3
  • Prequisites: EBA2203
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