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محتوى الصفحة COURSE OUTLINE Principles of Statistics (STAT110) A. Course Description Course code and Session: STAT110, Semester 2- 1437/1438 Credit units: 2 units B. Text-books - STATISTICS FOR BUSINESS ANDECONOMICS 11e, by David, Dennis and Thomas, South- Western- USA.
C. Brief content of the course.
This subject is designed to provide students majoring in management, accounting, economics and other fields of business administration with an introductory survey of the many applications of descriptive statistics. The definition of statistics given earlier referred to organizing, presenting and summarizing the data. When the students have completed this course, they will be able to:
- Organize, analyze, interpret and summarize the data in a useful and informative manner.
- Calculate the central tendency and interpret the meaning and also applications of dispersion.
- Measure the growth rate, inflation or price index and real value.
- Understand, calculate and interpret the regression and correlation concept.
- Calculate and interpret the general trend in time series.
D. Evaluation System: - Attendance in class: 5%.
- Mid-semester examination: 20%.
- Homework: 5 %.
- 15 minutes quiz (at least 3 times): 10%.
- Final Exam: 60%.
Note: Midterm:22/4/2017 E. Course Materials: | Week | Topic Discussion | | 1 | CHAPTER ONE - Introduction to Statistics: main concept of Statistics: - Definition of statistics (What the Statistics is),
- What the statistical population and the statistical sampling are.
- The usage of the Statistics
- The relationship between Statistics and other Sciences especially the economic Studies.
| | 2 | - Statistical Data Types: Qualitative Data (Nominal – Ordinal), Quantitative Data (Continuous – Discrete).
- Official Resources, Non Official Resources.
- Direct Sources (pilot), Non Direct Sources (Historical)
- Data Collection and Sampling Methods.
| | 3 | CHAPTER TWO - Graphical and Tabulation methods for Describing Statistical Data - Graphically Displaying for Qualitative Data
- Graphically Displaying for Grouped Data (Histogram)
| | 4 | - Usage for the Histogram to obtain General overview for the Data,
- Polygon, Curve, Cumulative Frequency Curve,
- Pie Chart,
- Stem-and- Leaf Plot,
- Displaying Data Statistics on a Pareto Chart.
| | 5 | CHAPTER THREE - Measures of central tendency: - Simple Mean, Mean for Grouped Data, Properties for Mean.
- Geometric Mean, Geometric mean for Groped Data.
- Harmonic Mean: Harmonic Mean for Grouped Data, Harmonic mean for Ungrouped Data.
| | 6 | - Median: Calculating the Median for ungrouped Data, Determining the Median for Grouped Data,
- Mode: Determining the Mode for Grouped and ungrouped Data, Properties for the Mode.
- Quartile, Percentile, decile, Properties for the Median
- Comparison between the Mean, Median and the Mode,
| | 7 | CHAPTER FOUR - Measures of Dispersion: - Range ,
- Interquartile range,
- Absolute mean Deviation,
- Standard Deviation, and Variance Determining the Mode for Grouped and ungrouped Data
| | 8 | - Coefficient of variation,
- Measure of Skewness,
- Measure of Kurtosis
| | 9 | CHAPTER FIVE – Correlation and Simple linear regression, - Scatter Diagram,
- Linear Correlation,
- The Coefficient of Correlation,
- Rank Correlation,
| | 10 | - Regression analysis, Regression Equation.
- Regression analysis,
- Regression Equation.
| | 11 | CHAPTER SIX – Introduction to Time Series Analysis: - General introduction,
- Trend analysis
| | 12 | CHAPTER SIX – Introduction to Time Series Analysis: - General introduction,
- Trend analysis
| | 13 | CHAPTER SEVEN –Introduction to Index number: - Definition of the price index number,
- The simple index number,
- Laspeyres index number.
- Paasche Index number,
- Fisher Index number.
| | 14 | General revision |
Note: Make sure that you attend the class punctually and bring calculator. |
