1. © 2005 McGraw-Hill Ryerson Ltd. 1-1 Statistics A First Course Donald H. Sanders Robert K. Smidt Aminmohamed Adatia Glenn A. Larson

2. © 2005 McGraw-Hill Ryerson Ltd. 1-2 Chapter 1 Let’s Get Started

3. © 2005 McGraw-Hill Ryerson Ltd. 1-3 Chapter 1 - Topics What to Expect Statistics: What is It? Uses of Statistics Performing Statistical Studies Role of the Computer in Statistics

4. © 2005 McGraw-Hill Ryerson Ltd. 1-4 What to Expect? Required –Recognize the need to understand statistics to live in the modern world –Knowledge of high school algebra Not Required –Advanced mathematics skills – calculus Disciplines –Examples drawn from business and science

5. © 2005 McGraw-Hill Ryerson Ltd. 1-5 Statistics: What is It? Statistics can be divided into two broad areas –Descriptive statistics Collecting, summarizing, and presenting sample data using numerical and graphical methods –Inferential statistics Making estimates, decisions, predictions, or other generalizations about a larger set of data based on sampling

6. © 2005 McGraw-Hill Ryerson Ltd. 1-6 Statistics: What is It? Definitions Population Parameter –Data collection of measurements, objects, or individuals under study Sample Statistic –Portion or subset taken from population data

7. © 2005 McGraw-Hill Ryerson Ltd. 1-7 Figure 1.1 An overview of descriptive statistics and statistical inference.

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9. © 2005 McGraw-Hill Ryerson Ltd. 1-9 The statistical inference process involves the use of a known sample statistic to arrive at a judgment about an unknown population parameter. Figure 1.2

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11. © 2005 McGraw-Hill Ryerson Ltd. 1-11 Uses of Statistics Describing relationships between variables –Describe and understand numerical relationships Aiding in decision making –Make better decisions

12. © 2005 McGraw-Hill Ryerson Ltd. 1-12 Performing Statistical Studies Steps to obtain valid and useful results from study –Identify your objective Identify question to be answered Identify relevant population –Collect sample data Experiment – subjecting experimental units to treatments and observing their response Observational study – i.e. survey, interview, questionnaire –Analyze the data and form conclusions

13. © 2005 McGraw-Hill Ryerson Ltd. 1-13 Statistical problem-solving methodology Figure 1.3 (2 slides) Role of the Computer in Statistics

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16. © 2005 McGraw-Hill Ryerson Ltd. 1-16 Role of the Computer in Statistics Statistical tools used for data analysis that are highlighted in this textbook –Electronic spreadsheets Microsoft Excel –Statistical analysis packages MINITAB –Calculators Texas Instruments TI-83+

17. © 2005 McGraw-Hill Ryerson Ltd. 1-17 End of Chapter 1 Let’s Get Started