# s_m2 - STA 2023 Module 2 Organizing Data Rev.F08 1 Learning...

This preview shows pages 1–8. Sign up to view the full content.

Rev.F08 1 STA 2023 Module 2 Organizing Data

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

View Full Document
Rev.F08 2 Learning Objectives Upon completing this module, you should be able to: 1. Classify variables and data as either qualitative or quantitative. 2. Distinguish between discrete and continuous variables and data. 3. Identify terms associated with the grouping of data. 4. Group data into a frequency distribution and a relative- frequency distribution. 5. Construct a group-data table. 6. Draw a frequency histogram and a relative-frequency histogram. 7. Construct a dotplot. http://faculty. valenciacc . edu/ashaw/ Click link to download other modules.
Rev.F08 3 Learning Objectives (Cont.) 1. Construct a stem-and-leaf diagram. 2. Draw pie chart and a bar graph. 3. Identify the shape and modality of the distribution of a data set. 4. Specify whether a a unimodal distribution is symmetric, right skewed, or left skewed. 5. Understand the relationship between sample distributions and the population distribution. 6. Identify and correct misleading graphs. http://faculty. valenciacc . edu/ashaw/ Click link to download other modules.

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

View Full Document
Rev.F08 4 What Types of Variables do we have? Variable: A characteristic that varies from one person or thing to another. Qualitative variable: A nonnumerically valued variable. Quantitative variable: A numerically valued variable. Discrete variable: A quantitative variable whose possible values can be listed. Continuous variable: A quantitative variable whose possible values form some interval of numbers. http://faculty. valenciacc . edu/ashaw/ Click link to download other modules.

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

View Full Document
Rev.F08 6 What are the Different Types of Data? Data: Values of a variable. Qualitative data: Values of a qualitative variable. Quantitative data: Values of a quantitative variable. Discrete data: Values of a discrete variable. Continuous data: Values of a continuous variable. http://faculty. valenciacc . edu/ashaw/ Click link to download other modules.
7 Terms Used in Grouping Classes: Categories for grouping data. Frequency: The number of observations that fall in a class. Frequency distribution: A listing of all classes and their frequencies. Relative frequency: The ratio of the frequency of a class to the total number of observations. Relative-frequency distribution: A listing of all classes and their relative frequencies. Lower cutpoint: The smallest value that could go in a class. Upper cutpoint: The smallest value that could go in the next higher class (equivalent to the lower cutpoint of the next higher class). Midpoint: The middle of a class, found by averaging its cutpoints. Width: The difference between the cutpoints of a class. http://faculty.

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

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

## This note was uploaded on 06/14/2011 for the course STA 2023 taught by Professor Bagwhandee during the Spring '07 term at University of Central Florida.

### Page1 / 50

s_m2 - STA 2023 Module 2 Organizing Data Rev.F08 1 Learning...

This preview shows document pages 1 - 8. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online