8 sample documents related to STATS 100

• 
  285%2Bchap02-ct-1

  Rutgers STATS 100
  

  Statistics Chapter 2 Methods for Describing Sets of Data Part 1 Chap 2-1 Data Chap 2-2 Data Types Data Qualitative (Categorical) Examples: Quantitative (Numerical) Marital Status Political Party Eye Color (Defined categories) Discrete Examples: Contin
   
• 
  285%2Bchap02-va-3

  Rutgers STATS 100
  

  Statistics: Chapter 2 Methods for Describing Sets of Data Part 2 Chap 3-1 Shape of a Distribution Describes how data is distributed Symmetric or skewed Symmetric Right-Skewed Left-Skewed Mean < Median (Longer tail extends to left) Mean = Median Median <
   
• 
  285%2Bchap03-c

  Rutgers STATS 100
  

  Statistics: Chapter 3 Probability Chap 4-1 Important Terms Probability the chance that an uncertain event will occur (always between 0 and 1) Experiment a process of obtaining outcomes for uncertain events, e Experimental Outcome the most basic outcome po
   
• 
  285%2Bchap04-P1

  Rutgers STATS 100
  

  Statistics Chapter 4 Random Variables and Probability Distributions Discrete Sections 4.1-4.4 Chap 5-1 Introduction to Probability Distributions Random Variable Represents a possible numerical value from a random event Takes on different values based on c
   
• 
  285%2Bchap04-P2

  Rutgers STATS 100
  

  Statistics Chapter 4 Random Variables and Probability Distributions - Continuous Sections 4.5-4.8 Chap 6-1 Probability Distributions Probability Distributions Discrete Probability Distributions Binomial Poisson Hypergeometric Continuous Probability Distri
   
• 
  285%2Bchap04-P3a

  Rutgers STATS 100
  

  Statistics Chapter 4 Random Variables and Probability Distributions Sampling Distributions Sections 4.10-4.11 Chap 7-1 Chapter Goals After completing this chapter, you should be able to: Define the concept of sampling error Determine the mean and standa
   
• 
  stats summary page

  Rutgers STATS 100
  

  Qualitative Data - categorical Ex. Eye color, political party (defined categories) Quantitative data- numerical Discrete #children (counted items) Continuous Weight (measured characteristics) Nominal data - categorical codes/ lowest level, basic analysis
   
• 
  Syllabus+Stat+285-02-Spring+2010A

  Rutgers STATS 100
  

  Syllabus Stat 285 Spring 2010A A. Course: 960:285:02, Statistics for Business- Section 02 B. Prerequisites: 01:640:115 or equivalent. Credit not given for more than one of 01:960:201, 211, 285, and 401. C. Meeting Times: Monday/Thursdays 12:00-1:20 PM D.