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MST 103 – Introduction to Statistics and Probability Probability and Statistical Pro. f Ahmed HassenYoussef Department of Applied Statistics, Institute of Statistics, Cairo University
MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability COURSE TITLE:     Introduction to Statistics And ProbabilityCOURSE NUMBER: MST 103 NUMBER OF CREDITS: 3
CLASS TIME AND PLACE: Sunday 9:00 – 11:00 am; Loc:B2.2 MST 103 – Introduction to Statistics and Probability Textbook Statistical Techniques in Business and Economics with Global Data sets By Douglas A. Lind William G. Marchal Samuel A. Wathen McGrow- Hill, Irwin 2008
MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability GOALS Understand why we study statistics.
Explain what is meant by descriptive statistics and inferential statistics.
Distinguish between a qualitative variable and a quantitative variable.
Describe how a discrete variable is differentfrom a continuous variable.
Distinguish among the nominal, ordinal, interval, and ratio levels of measurement. Prof. Ahmed Hassen
MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability What is Meant by Statistics? Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting numerical data to assist in making  More Effective DecisionsProf. Ahmed Hassen Prof. Ahmed Hassen
MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability A few headlines 70 Percent Chance That Lare g Earthuake q Will Strike San Francisco By 2030. 10/15/99, Geological Survey
If Hurricane Ivan Hits U.S., 2004 Would Be A '1 In 50 Year Series Of Storm EventsFor Insurance Industry. EQECAT Prof. Ahmed Hassen Prof. Ahmed Hassen
MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability Who Uses Statistics? Prof. Ahmed Hassen
MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability Population versus Sample A population is a collection of all possible individuals, objects, or measurements of interest. A sample is a portion, or part, of the population of interest Prof. Ahmed Hassen Prof. Ahmed Hassen
MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability Quantitative Variables - Classifications Quantitative variables can be classified as either discrete or continuous. Discrete variables: can only assume certain values and there are usually “gaps” between values. EXAMPLE: the number of bedrooms in a house, or the number of hammers sold at the local Home Depot (1,2,3,...,etc). Continuous variable can assume any value within a specified range. EXAMPLE: The pressure in a tire, the weight of meat, or the height of students in a class. Prof. Ahmed Hassen
MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability Four Levels of Measurement Nominal level –data that is ClassifiedInto Categoriesand cannot be arranged inany particular order. EXAMPLES: eye color, gender, religious affiliation. Interval level - similar to the ordinal level, with the additional property that meaningfulamounts of differences between data values can be determined. There is no natural zero point. EXAMPLE: Temperature on the Fahrenheit scale. Ordinal level – involves data arranged in some order, but the differences between data values Cannot Be Determined Or Are meaningless. EXAMPLE: During a taste test of 4 soft drinks, Coca Cola was ranked number 1, Sprite number 2, Seven-up number 3, and Pepsi number 4. Ratio level- the interval level with an inherent zero starting point. Differences and ratios are  Meaningful For This LevelOfmeasurement. EXAMPLES: Monthly income of surgeons, or distance traveled by manufacturer’s representatives per month. Prof. Ahmed Hassen
MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability Questions of Chapter 1 1. A population is a collection of all individuals, objects, or measurements of interest. True/False Answer: True Prof. Ahmed Hassen

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Chapter 1 what is statistics

  • 1. MST 103 – Introduction to Statistics and Probability Probability and Statistical Pro. f Ahmed HassenYoussef Department of Applied Statistics, Institute of Statistics, Cairo University
  • 2. MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability COURSE TITLE: Introduction to Statistics And ProbabilityCOURSE NUMBER: MST 103 NUMBER OF CREDITS: 3
  • 3. CLASS TIME AND PLACE: Sunday 9:00 – 11:00 am; Loc:B2.2 MST 103 – Introduction to Statistics and Probability Textbook Statistical Techniques in Business and Economics with Global Data sets By Douglas A. Lind William G. Marchal Samuel A. Wathen McGrow- Hill, Irwin 2008
  • 4. MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability GOALS Understand why we study statistics.
  • 5. Explain what is meant by descriptive statistics and inferential statistics.
  • 6. Distinguish between a qualitative variable and a quantitative variable.
  • 7. Describe how a discrete variable is differentfrom a continuous variable.
  • 8. Distinguish among the nominal, ordinal, interval, and ratio levels of measurement. Prof. Ahmed Hassen
  • 9. MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability What is Meant by Statistics? Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting numerical data to assist in making More Effective DecisionsProf. Ahmed Hassen Prof. Ahmed Hassen
  • 10. MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability A few headlines 70 Percent Chance That Lare g Earthuake q Will Strike San Francisco By 2030. 10/15/99, Geological Survey
  • 11. If Hurricane Ivan Hits U.S., 2004 Would Be A '1 In 50 Year Series Of Storm EventsFor Insurance Industry. EQECAT Prof. Ahmed Hassen Prof. Ahmed Hassen
  • 12. MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability Who Uses Statistics? Prof. Ahmed Hassen
  • 13. MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability Population versus Sample A population is a collection of all possible individuals, objects, or measurements of interest. A sample is a portion, or part, of the population of interest Prof. Ahmed Hassen Prof. Ahmed Hassen
  • 14. MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability Quantitative Variables - Classifications Quantitative variables can be classified as either discrete or continuous. Discrete variables: can only assume certain values and there are usually “gaps” between values. EXAMPLE: the number of bedrooms in a house, or the number of hammers sold at the local Home Depot (1,2,3,...,etc). Continuous variable can assume any value within a specified range. EXAMPLE: The pressure in a tire, the weight of meat, or the height of students in a class. Prof. Ahmed Hassen
  • 15. MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability Four Levels of Measurement Nominal level –data that is ClassifiedInto Categoriesand cannot be arranged inany particular order. EXAMPLES: eye color, gender, religious affiliation. Interval level - similar to the ordinal level, with the additional property that meaningfulamounts of differences between data values can be determined. There is no natural zero point. EXAMPLE: Temperature on the Fahrenheit scale. Ordinal level – involves data arranged in some order, but the differences between data values Cannot Be Determined Or Are meaningless. EXAMPLE: During a taste test of 4 soft drinks, Coca Cola was ranked number 1, Sprite number 2, Seven-up number 3, and Pepsi number 4. Ratio level- the interval level with an inherent zero starting point. Differences and ratios are Meaningful For This LevelOfmeasurement. EXAMPLES: Monthly income of surgeons, or distance traveled by manufacturer’s representatives per month. Prof. Ahmed Hassen
  • 16. MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability Questions of Chapter 1 1. A population is a collection of all individuals, objects, or measurements of interest. True/False Answer: True Prof. Ahmed Hassen
  • 17. MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability Questions of Chapter 1 3. There are four levels of measurement qualitative, quantitative, discrete, and continuous. True/False Answer: False Prof. Ahmed Hassen Prof. Ahmed Hassen
  • 18. MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability Questions of Chapter 1 5. The CIA World Fact book cited these numbers for the U . S: Birthrate is 14.14 births per 1,000 population.
  • 19. Average life expectancy for females is 80 years.
  • 20. Approximately 290 million persons residing in the United States. Each of these numbers is referred to as statistic. True/False Answer: True Prof. Ahmed Hassen
  • 21. MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability Questions of Chapter 1 7 . The main purpose of descriptive statistics is to:Summarize data in a useful and informative manner. Make inferences about a population. Determine if the data adequately represents The Population.Gather Or Collect DataAnswer: A Prof. Ahmed Hassen Prof. Ahmed Hassen
  • 22. MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability Questions of Chapter 1 9 . Respondents were asked, " Do you now earnmore than or less than you did five years ago?" What is this level of measurement? Interval Ratio Nominal OrdinalNone of the above Answer: D Prof. Ahmed Hassen
  • 23. MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability MST 103 – Introduction to Statistics and Probability End of Chapter 1 Prof. Ahmed Hassen