Translated by Google
Fundamentals and principles of statistical analysis and its practical applications:
From 26 C$ /h
This lesson provides a simplified and practical introduction to the principles of statistical analysis and is suitable for students and researchers who wish to understand the basics of data analysis in a clear and organized way.
We start with the basics, then gradually move on to data analysis, hypothesis testing, and understanding the relationships between variables, with a focus on how to choose the appropriate statistical method and read and interpret the results.
Lesson topics:
1. Introduction to Statistical Analysis
* The concept of statistics and statistical analysis.
* Data types and variables.
Levels of measurement.
* The difference between descriptive and inferential statistics.
2. Descriptive Statistics
Frequencies and percentages.
* Arithmetic mean.
* Median and mode.
* Range and standard deviation.
* Reading and interpreting statistical tables and results.
3. Fundamentals of Hypothesis Testing
* The concept of the null hypothesis and the alternative hypothesis.
* Level of statistical significance (Sig. / p-value).
* Understanding the concept of statistical significance.
* How to make decisions regarding hypotheses.
* Getting acquainted with basic statistical tests and choosing the appropriate test in a simplified manner.
4. Correlation analysis
* The concept of the relationship between variables.
* Correlation coefficient and interpretation of the direction and strength of the relationship.
* Understanding the statistical significance of correlation.
5. Regression analysis
* The concept of regression and its importance.
Simple and multiple linear regression.
* Understanding the relationship between the independent variable and the dependent variable.
* Interpretation of the coefficient of determination (R2).
* Reading the main results of the regression analysis.
6. Practical application using SPSS
* Data entry and organization.
* Conducting basic statistical analyses.
* Reading SPSS output.
* Interpreting the results in a simplified and academic manner.
The aim of the lesson:
By the end of the lesson, the student will be able to understand the main fundamentals of statistical analysis, work better with data, choose the appropriate analysis initially, and read and interpret basic statistical results using SPSS.
This lesson is particularly suitable for students of "Business Administration, Economics, Administrative Sciences, and researchers" who need a strong foundation in statistical analysis.
We start with the basics, then gradually move on to data analysis, hypothesis testing, and understanding the relationships between variables, with a focus on how to choose the appropriate statistical method and read and interpret the results.
Lesson topics:
1. Introduction to Statistical Analysis
* The concept of statistics and statistical analysis.
* Data types and variables.
Levels of measurement.
* The difference between descriptive and inferential statistics.
2. Descriptive Statistics
Frequencies and percentages.
* Arithmetic mean.
* Median and mode.
* Range and standard deviation.
* Reading and interpreting statistical tables and results.
3. Fundamentals of Hypothesis Testing
* The concept of the null hypothesis and the alternative hypothesis.
* Level of statistical significance (Sig. / p-value).
* Understanding the concept of statistical significance.
* How to make decisions regarding hypotheses.
* Getting acquainted with basic statistical tests and choosing the appropriate test in a simplified manner.
4. Correlation analysis
* The concept of the relationship between variables.
* Correlation coefficient and interpretation of the direction and strength of the relationship.
* Understanding the statistical significance of correlation.
5. Regression analysis
* The concept of regression and its importance.
Simple and multiple linear regression.
* Understanding the relationship between the independent variable and the dependent variable.
* Interpretation of the coefficient of determination (R2).
* Reading the main results of the regression analysis.
6. Practical application using SPSS
* Data entry and organization.
* Conducting basic statistical analyses.
* Reading SPSS output.
* Interpreting the results in a simplified and academic manner.
The aim of the lesson:
By the end of the lesson, the student will be able to understand the main fundamentals of statistical analysis, work better with data, choose the appropriate analysis initially, and read and interpret basic statistical results using SPSS.
This lesson is particularly suitable for students of "Business Administration, Economics, Administrative Sciences, and researchers" who need a strong foundation in statistical analysis.
Location
Online from Jordan
About Me
I hold a PhD in Business Administration and possess extensive academic and professional experience encompassing university teaching, scientific research, academic quality assurance, curriculum and program development, as well as professional practice in the banking and administrative sectors. I leverage my academic expertise and practical experience to create added value that supports educational institutions and organizations in achieving their strategic objectives and enhancing their competitive advantage.
I currently work as a lecturer in business administration, and my teaching responsibilities include strategic management, entrepreneurship, innovation, and other business administration courses. My teaching methodology is based on active, student-centered learning, emphasizing critical thinking, logical analysis, problem-solving, and connecting theoretical concepts to their practical applications in the business world.
In addition to teaching and research, I have gained experience in internal quality assurance, academic quality assurance, curriculum and program development, learning outcomes, assessment practices, academic accreditation, and continuous improvement. My interest in academic quality and internationally oriented educational frameworks has strengthened my desire to develop robust, quality-focused academic programs that respond to the evolving demands of the labor market.
My academic background is complemented by over five years of professional experience in the banking sector, particularly in customer service and relationship management. This experience has enhanced my communication skills, stakeholder management abilities, problem-solving skills, decision-making skills, and service quality, while also providing practical insight into organizational processes and management challenges.
I am passionate about contributing to strategic development, enhancing organizational performance, fostering innovation, and driving continuous improvement across diverse organizational environments. My goal is to bridge the gap between theory and practice, generate actionable insights, and create genuine value that supports effective decision-making, sustainable growth, and competitive advantage.
I currently work as a lecturer in business administration, and my teaching responsibilities include strategic management, entrepreneurship, innovation, and other business administration courses. My teaching methodology is based on active, student-centered learning, emphasizing critical thinking, logical analysis, problem-solving, and connecting theoretical concepts to their practical applications in the business world.
In addition to teaching and research, I have gained experience in internal quality assurance, academic quality assurance, curriculum and program development, learning outcomes, assessment practices, academic accreditation, and continuous improvement. My interest in academic quality and internationally oriented educational frameworks has strengthened my desire to develop robust, quality-focused academic programs that respond to the evolving demands of the labor market.
My academic background is complemented by over five years of professional experience in the banking sector, particularly in customer service and relationship management. This experience has enhanced my communication skills, stakeholder management abilities, problem-solving skills, decision-making skills, and service quality, while also providing practical insight into organizational processes and management challenges.
I am passionate about contributing to strategic development, enhancing organizational performance, fostering innovation, and driving continuous improvement across diverse organizational environments. My goal is to bridge the gap between theory and practice, generate actionable insights, and create genuine value that supports effective decision-making, sustainable growth, and competitive advantage.
Education
- PhD in Business Administration
- Master of Business Administration degree
- Bachelor's degree in Banking and Finance
- Master of Business Administration degree
- Bachelor's degree in Banking and Finance
Experience / Qualifications
- (Assistant Professor).
- Internal Quality Assurance (IQA).
- Customer Service Department (CSO).
Continuous Practical Development (CPD).
- Internal Quality Assurance (IQA).
- Customer Service Department (CSO).
Continuous Practical Development (CPD).
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
Arabic
English
Skills
Availability of a typical week
(GMT -04:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Good-fit Instructor Guarantee