Statistics Chapter 1 Statistics Data and Statistical Thinking

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Statistics Chapter 1: Statistics, Data and Statistical Thinking

Statistics Chapter 1: Statistics, Data and Statistical Thinking

Where We’re Going n n n Introduction to the field of statistics How statistics

Where We’re Going n n n 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 Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 2

1. 1: The Science of Statistics n Statistics is the science of data. This

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

1. 2: Types of Statistical Applications Statistics Descriptive Statistics Inferential Statistics Mc. Clave, Statistics,

1. 2: Types of Statistical Applications Statistics Descriptive Statistics Inferential Statistics Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 4

1. 2: Types of Statistical Applications n Descriptive statistics utilizes numerical and graphical methods

1. 2: Types of Statistical Applications n 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. Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 5

1. 2: Types of Statistical Applications n Inferential statistics utilizes sample data to make

1. 2: Types of Statistical Applications n Inferential statistics utilizes sample data to make estimates, decisions, predictions or other generalizations about a larger set of data. Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 6

1. 3: Fundamental Elements of Statistics n An experimental unit is an object about

1. 3: Fundamental Elements of Statistics n An experimental unit is an object about which we collect data. ¡ ¡ Person Place Thing Event Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 7

1. 3: Fundamental Elements of Statistics n An population is a set of units

1. 3: Fundamental Elements of Statistics n 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. n If we can examine every single one, we conduct a census. Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 8

1. 3: Fundamental Elements of Statistics n A variable is a characteristic or property

1. 3: Fundamental Elements of Statistics n A variable is a characteristic or property of an individual unit. ¡ The values of these characteristics will, not surprisingly, vary. Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 9

1. 3: Fundamental Elements of Statistics n A sample is a subset of the

1. 3: Fundamental Elements of Statistics n A sample is a subset of the population. Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 10

1. 3: Fundamental Elements of Statistics n A measure of reliability is a statement

1. 3: Fundamental Elements of Statistics n 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%. Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 11

1. 3: Fundamental Elements of Statistics Descriptive Statistics n n Inferential Statistics The population

1. 3: Fundamental Elements of Statistics Descriptive Statistics n n Inferential 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 n n n 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 Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 12

1. 4: Types of Data n Quantitative Data are measurements that are recorded on

1. 4: Types of Data n Quantitative Data are measurements that are recorded on a naturally occurring numerical scale. ¡ ¡ Age GPA Salary Cost of books this semester Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 13

1. 4: Types of Data n Qualitative Data are measurements that cannot be recorded

1. 4: Types of Data n 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 Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 14

1. 5: Collecting Data n n Published Source Designed Experiment Survey Observational Study Coffee,

1. 5: Collecting Data n n Published Source Designed Experiment Survey Observational Study Coffee, Green 1% 13% 10% 18% 48% Coffee Production 2005/2006 Caribbean 4% Production 2005/2006 Central America Coffee 1% Coffee Production 2005/2006 North America Coffee Production 2005/2006 Oceania Coffee Production 2005/2006 South America Coffee Production 2005/2006 South Asia Coffee Production 2005/2006 Southeast Asia Coffee Production 2005/2006 Sub-Saharan Africa 5% SOURCE: United States Department of Agriculture Foreign Agricultural Service Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 15

1. 5: Collecting Data n Published Source ¡ ¡ ¡ Journal Book Newspaper Magazine

1. 5: Collecting Data n Published Source ¡ ¡ ¡ Journal Book Newspaper Magazine (Reliable) Web Site Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 16

1. 5: Collecting Data n Designed Experiment ¡ Strict control over the experiment and

1. 5: Collecting Data n Designed Experiment ¡ Strict control over the experiment and the units in the experiment Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 17

1. 5: Collecting Data n Survey ¡ ¡ Gallup, Harris and other polls Nielsen

1. 5: Collecting Data n Survey ¡ ¡ Gallup, Harris and other polls Nielsen Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 18

1. 5: Collecting Data n Observational Study ¡ ¡ Observe units in natural settings

1. 5: Collecting Data n Observational Study ¡ ¡ Observe units in natural settings No control over behavior of units Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 19

1. 5: Collecting Data n n A representative sample exhibits characteristics typical of those

1. 5: Collecting Data n n 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. Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 20

1. 6: The Role of Statistics in Critical Thinking n Statistical thinking involves applying

1. 6: The Role of Statistics in Critical Thinking n Statistical thinking involves applying rational thought and the science of statistics to critically assess data and inferences. Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 21

1. 6: The Role of Statistics in Critical Thinking n Selection bias results when

1. 6: The Role of Statistics in Critical Thinking n 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. Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 22

1. 6: The Role of Statistics in Critical Thinking n Nonresponse bias results when

1. 6: The Role of Statistics in Critical Thinking n Nonresponse bias results when the researchers conducting a survey or study are unable to obtain data on all experimental units selected for the sample. Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 23

1. 6: The Role of Statistics in Critical Thinking n Measurement error refers to

1. 6: The Role of Statistics in Critical Thinking n 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? ” Mc. Clave, Statistics, 11 th ed. Chapter 1: Statistics, Data and Statistical Thinking 24