Chapter 1: Introduction to Statistics Questions and Answers 100% correct

Chapter 1: Introduction to Statistics Questions and Answers 100% correct Statistics A science of collecting, classifying, presenting, analyzing, interpreting, and drawing conclusions based on numerical data. Descriptive Statistics Methods of summarizing key characteristics of known sample data (Ex. collecting, classifying, presenting) Inferential Statistics Methods of using sample data to make generalizations or inferences about key characteristics of the population. (Ex. analyzing, interpreting, and drawing conclusions) Population The entire collection to be studied Sample A subset of the population (the sample must accurately reflect the population) Parameter A numerical measurement describing some characteristic of the population Statistic A numerical measurement describing some characteristic of the sample We __________ statistics (know the value) Calculate We __________ parameters (guess at the value) Predict We use __________ letters to represent statistics English We use __________ letters to represent parameters Greek Types of Classifying Data 1.) Qualitative Data 2.) Quantitative Data Qualitative Data Categories (Ex. small, medium & large) Quantitative Data Discrete Data and Continuous Data Discrete Data - Finite # of values - Gaps between values - Count (Ex. # of students) Continuous Data - Infinite # of values - No gaps between values (Ex. result from measurement: time, age, distance, etc.) Level of Measurement (lowest to highest) NOIR 1.) Nominal 2.) Ordinal 3.) Interval 4.) Ratio Nominal Categories where the data cannot be ordered into a meaningful scheme [Ex. HC (Hancock Center), LT (Lowell Thomas), DY (Dyson Center)] Ordinal Categories can be ordered but no meaningful differences by groups (Ex. 3rd____________2nd__ 1st)