1. Statistics Chapter 1: Statistics, Data and Statistical Thinking

2. McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 2 Where We’re Going Introduction to the field of statistics How statistics applies to real-world problems Establish the link between statistics and data Differentiate between population and sample data Differentiate between descriptive and inferential statistics

3. McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 3 1.1: The Science of Statistics Statistics is the science of data. This involves collecting, classifying, summarizing, organizing, analyzing and interpreting numerical information.

4. McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 4 1.2: Types of Statistical Applications Statistics Descriptive Statistics Inferential Statistics

5. McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 5 1.2: Types of Statistical Applications Descriptive statistics utilizes numerical and graphical methods to look for patterns in a data set, to summarize the information revealed in a data set and to present that information in a convenient form.

6. McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 6 1.2: Types of Statistical Applications Inferential statistics utilizes sample data to make estimates, decisions, predictions or other generalizations about a larger set of data.

7. McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 7 1.3: Fundamental Elements of Statistics An experimental unit is an object about which we collect data.  Person  Place  Thing  Event

8. McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 8 1.3: Fundamental Elements of Statistics An population is a set of units in which we are interested.  Typically, there are too many experimental units in a population to consider every one. If we can examine every single one, we conduct a census.

9. McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 9 1.3: Fundamental Elements of Statistics A variable is a characteristic or property of an individual unit.  The values of these characteristics will, not surprisingly, vary.

10. McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 10 1.3: Fundamental Elements of Statistics A sample is a subset of the population.

11. McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 11 1.3: Fundamental Elements of Statistics A measure of reliability is a statement about the degree of uncertainty associated with a statistical inference. Based on our analysis, we think 56% of soda drinkers prefer Pepsi to Coke, ± 5%.

12. 1.3: Fundamental Elements of Statistics Descriptive Statistics The population or sample of interest One or more variables to be investigated Tables, graphs or numerical summary tools Identification of patterns in the data Inferential Statistics Population of interest One or more variables to be investigated The sample of population units The inference about the population based on the sample data A measure of reliability of the inference McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 12

13. 1.4: Types of Data Quantitative Data are measurements that are recorded on a naturally occurring numerical scale.  Age  GPA  Salary  Cost of books this semester McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 13

14. 1.4: Types of Data Qualitative Data are measurements that cannot be recorded on a natural numerical scale, but are recorded in categories.  Year in school  Live on/off campus  Major  Gender McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 14

15. 1.5: Collecting Data McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 15 Published Source Designed Experiment Survey Observational Study SOURCE: United States Department of Agriculture Foreign Agricultural Service

16. 1.5: Collecting Data McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 16 Published Source  Journal  Book  Newspaper  Magazine  (Reliable) Web Site

17. 1.5: Collecting Data McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 17 Designed Experiment  Strict control over the experiment and the units in the experiment

18. 1.5: Collecting Data McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 18 Survey  Gallup, Harris and other polls  Nielsen

19. 1.5: Collecting Data McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 19 Observational Study  Observe units in natural settings  No control over behavior of units

20. 1.5: Collecting Data McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 20 A representative sample exhibits characteristics typical of those possessed by the target population. A random sample of n units is selected in such a way that every different sample of size n has the same chance of being selected.

21. 1.6: The Role of Statistics in Critical Thinking McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 21 Statistical thinking involves applying rational thought and the science of statistics to critically assess data and inferences.

22. 1.6: The Role of Statistics in Critical Thinking McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 22 Selection bias results when a subset of the experimental units in the population have been excluded so that these units have no chance of being selected in the sample. LANDON IN A LANDSLIDE In 1936 The Literary Digest predicts Governor Alf Landon of Kansas would defeat President Roosevelt with 57% of the popular vote and 370 electoral votes, the result of polling primarily affluent voters.

23. 1.6: The Role of Statistics in Critical Thinking McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 23 Nonresponse bias results when the researchers conducting a survey or study are unable to obtain data on all experimental units selected for the sample.

24. 1.6: The Role of Statistics in Critical Thinking McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 24 Measurement error refers to inaccuracies in the values of the data recorded. In surveys, this kind of error may be due to ambiguous or leading questions and the interviewer’s effect on the respondent. “Do you prefer Candidate X, father of three and church elder, or Candidate Y, who got the nomination despite his shady past?”