A_Math_201_SMU_Lecture_Notes_for_Week_1_Ch._1_2.2_2.3 -...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Internet Usage Key: 7|2 = 72 7 7 1 7 7 8 9 0 1 2 3 8 9 9 0 0 1 13 4 6 7 9 9 9 0 1 1 2 4 4 6 0 1 3 4 4 6 6 6 9 2 7 9 2 3 7 8 0 8 MATH 201 Lecture Notes: Week #1 (Chapter 1; 2-2, 2-3) CHAPTER 1: INTRODUCTION TO STATISTICS Note : This is the only chapter that is not taken section by section only the end- of-chapter exercises are assigned. Terminology and definitions are emphasized. I. Data vs. Information A. Data : What you get from observations, counts, measurements, or responses Can be a data set -- a pile of numbers Can be prose or narrative (transcribed interviews) Can be qualitative or quantitative B. Information : Taking the data and turning it into something that is useful and meaningful. C. Statistics : The science of collecting, organizing, analyzing, and interpreting data in order to make (good, well-informed) decisions. BIG PICTURE: 2 branches of statistics: descriptive and inferential DATA INFORMATION KNOWLEDGE (pile of (useful and (for good decision- collected meaningful) making) stuff) | | | | | | V V Descriptive statistics Inferential statistics Organization, display, Use a sample to make & summarization of inferences, or draw data (Chapters 1- 6) conclusions, about a population (Ch. 7-8) II. Terminology and definitions A. Data Sets : 1. Population : collection of all outcomes, responses, measurements, or counts; 2. Parameter : measure obtained by using all the data values for a specific population; descriptive measures of a population; 3. Sample : subset of a population; 4. Statistic : measure obtained by using the data values from a sample; descriptive measures of a sample. P arameters go with p opulations (note that both start with p); S tatistics go with s amples (note that both start with s). MATH 201 LECTURE NOTES page 2 CHAPTER 1: INTRODUCTION TO STATISTICS II. Terminology/DefinitionsContinued B. Qualitative vs. Quantitative Data : 1. Qualitative data : attributes, labels, or non-numerical entries (numerical qualitative labels serve only as identifiers); cant number crunch 2. Quantitative data : numerical measurements or counts, can number crunch; two kinds : a. Discrete : derived from a counting process; only a finite number exist; discrete data are countable ; b. Continuous : derived from a measuring process; an infinite number exists; can be any real value in a finite or infinite real-number interval . C. Levels of measurement : 1. Nominal : qualitative data only, distinct categories, no ordering , lowest level; 2. Ordinal : distinct categories, ordering, scaling: differences between data values on the scale are either meaningless or indeterminable; 3. Interval : distinct categories, ordered, scaling: equal increments, no inherent zero (ratios are meaningless -- only meaningful differences are possible); 4. Ratio : distinct categories, ordered, scaling: equal increments, inherent zero (implying that ratios and differences are meaningful)....
View Full Document

This note was uploaded on 07/15/2010 for the course ACCT 201 taught by Professor Johnson during the Spring '10 term at Utah State University.

Page1 / 10

A_Math_201_SMU_Lecture_Notes_for_Week_1_Ch._1_2.2_2.3 -...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online