1 Treat everyone with sincerity, they will certainly appear loveable and friendly.

Slides:



Advertisements
Similar presentations
Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.
Advertisements

Agresti/Franklin Statistics, 1 of 63  Section 2.4 How Can We Describe the Spread of Quantitative Data?
Descriptive Statistics A.A. Elimam College of Business San Francisco State University.
CHAPTER 1: Picturing Distributions with Graphs
1 The future is a vain hope, the past is a distracting thought. Uphold our loving kindness at this instant, and be committed to our duties and responsibilities.
Chapter 1 – Exploring Data YMS Displaying Distributions with Graphs xii-7.
Methods for Describing Sets of Data
 Quantitative Numbers  Qualitative Descriptions.
The introduction to SPSS Ⅱ.Tables and Graphs for one variable ---Descriptive Statistics & Graphs.
CHAPTER 7: Exploring Data: Part I Review
Univariate Data Chapters 1-6. UNIVARIATE DATA Categorical Data Percentages Frequency Distribution, Contingency Table, Relative Frequency Bar Charts (Always.
1 Laugh, and the world laughs with you. Weep and you weep alone.~Shakespeare~
AP Stats Chapter 1 Review. Q1: The midpoint of the data MeanMedianMode.
Data Analysis Qualitative Data Data that when collected is descriptive in nature: Eye colour, Hair colour Quantitative Data Data that when collected is.
AP STATISTIC LESSON 1-1 EXPLORING DATA DISPLAYING DISTRIBUTION WITH GRAPHS.
Univariate EDA. Quantitative Univariate EDASlide #2 Exploratory Data Analysis Univariate EDA – Describe the distribution –Distribution is concerned with.
Statistics Chapter 1: Exploring Data. 1.1 Displaying Distributions with Graphs Individuals Objects that are described by a set of data Variables Any characteristic.
Warm-up 2.3 Measures of Center and Spread NMinQ1MedianQ3Max No Caffeine Low Caffeine High Caffeine a) Describe the.
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
Describing Data: Graphical Methods ● So far we have been concerned with moving from asking a research question to collecting good quality empirical data.
MMSI – SATURDAY SESSION with Mr. Flynn. Describing patterns and departures from patterns (20%–30% of exam) Exploratory analysis of data makes use of graphical.
Math 145 September 11, Recap  Individuals – are the objects described by a set of data. Individuals may be people, but they may also be animals.
Organizing Data AP Stats Chapter 1. Organizing Data Categorical Categorical Dotplot (also used for quantitative) Dotplot (also used for quantitative)
AP Statistics Semester One Review Part 1 Chapters 1-3 Semester One Review Part 1 Chapters 1-3.
The field of statistics deals with the collection,
Exploring, Displaying, and Examining Data
AP Statistics Wednesday, 09 September 2015 OBJECTIVE TSW review for Friday’s test over Chapter 1 – 3.
1 Never let time idle away aimlessly.. 2 Chapters 1, 2: Turning Data into Information Types of data Displaying distributions Describing distributions.
Statistics with TI-Nspire™ Technology Module E Lesson 1: Elementary concepts.
+ The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE Chapter 1: Exploring Data Introduction Data Analysis: Making Sense of Data.
Plan for Today: Chapter 11: Displaying Distributions with Graphs Chapter 12: Describing Distributions with Numbers.
More Univariate Data Quantitative Graphs & Describing Distributions with Numbers.
Bell Ringer You will need a new bell ringer sheet – write your answers in the Monday box. 3. Airport administrators take a sample of airline baggage and.
1 Take a challenge with time; never let time idles away aimlessly.
Chapter 5: Organizing and Displaying Data. Learning Objectives Demonstrate techniques for showing data in graphical presentation formats Choose the best.
1 By maintaining a good heart at every moment, every day is a good day. If we always have good thoughts, then any time, any thing or any location is auspicious.
Midterm Review IN CLASS. Chapter 1: The Art and Science of Data 1.Recognize individuals and variables in a statistical study. 2.Distinguish between categorical.
UNIT ONE REVIEW Exploring Data.
Chapter 1.1 Displaying Distributions with graphs.
EXPLORATORY DATA ANALYSIS and DESCRIPTIVE STATISTICS
LEVELS of DATA.
Looking at data Visualization tools.
1st Semester Final Review Day 1: Exploratory Data Analysis
Statistical Reasoning
Laugh, and the world laughs with you. Weep and you weep alone
CHAPTER 1: Picturing Distributions with Graphs
Chapter 2 Describing Data: Graphs and Tables
Displaying Distributions with Graphs
CHAPTER 1: Picturing Distributions with Graphs
Unit 7: Statistics Key Terms
AP Exam Review Chapters 1-10
The future is a vain hope, the past is a distracting thought
Treat everyone with sincerity,
Types of Graphs… and when to use them!.
Organizing Data AP Stats Chapter 1.
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Exploratory Data Analysis
Welcome!.
CHAPTER 1: Picturing Distributions with Graphs
Welcome to AP Statistics
CHAPTER 1 Exploring Data
Descriptive Statistics
Treat everyone with sincerity,
Ten things about Descriptive Statistics
CHAPTER 1 Exploring Data
Math 341 January 24, 2007.
CHAPTER 1 Exploring Data
Descriptive Statistics Civil and Environmental Engineering Dept.
Presentation transcript:

1 Treat everyone with sincerity, they will certainly appear loveable and friendly.

2 Applied Statistics Using SAS and SPSS Topic: Descriptive Statistics By Prof Kelly Fan, Cal State Univ, East Bay

3 Two Basic Strategies to Explore Data Begin by examining each variable by itself. Then move on to study the relationship among the variables. Begin with a graph or graphs. Then add numerical summaries of specific aspects of the data.

4 Descriptive Statistics Displaying data/variables with graphs  for categorical (qualitative) variables: Bar plot and Pie chart  for quantitative variables: Stemplot and Histogram Describing data/variables with numbers  for categorical (qualitative) variables: Relative Frequency (Sample Proportion) contingency table  for quantitative variables: to measure center: Mean and Median to measure spread: Interquartile Range (IQR) and Standard Deviation outliers five-number summary and boxplot scatterplot

5 Observed Data: Example 1 GenderHeight (inches) Weight (pounds) College M Sci F61.299Bsns F Bsns M Sci M Eng F Bsns M Eng M--188Sci

6 Controlled Data:Example 2 The tension bond strength of cement mortar is an important characteristic of the product. An engineer is interested in comparing the strength of a modified formulation in which polymer latex emulsions have been added during mixing to the strength of the unmodified mortar. The experimenter has collected 10 observations on strength for the modified formulation and another 10 observations for the unmodified formulation.

7 ModifiedUnmodified

8 SAS/SPSS Data Input SPSS: One variable one column in the work sheet SAS: One variable one name