1. MA180: Statistics

2. Definition of Statistics (according to Wikipedia)
The study of the collection, organization, analysis, interpretation and presentation of data. It deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments.

3. Why Study Statistics? Useful in both professional and everyday life.
Essential part of medicine, psychology, politics engineering, etc.
Looks great on a Résumé
List of direct applications: Index of Applications (Textbook, page xxi)

4. New Class Format!
More concentration on statistical software than calculations-by-hand.
BUT, also more concentration on understanding what the outputs mean!
3 credit hours
75-min Lecture
75-min Lab
Self study and/or additional lab time in MLL
Lab will include instructions on using statistical software.
I will be in the MLL on Fridays for 2 hours (TBA)

5. Syllabus Schedule
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved.

6. In Class Questions Example
Used to test your understanding of reading/topics
Doesn’t count as credit, but helps you learn more
(thus increasing your grade!)
Example
What was the most Googled Question in 2013?
What is Ricin?
What is DOMA?
What is Twerking?
What is Gluten?
Source: Huffington Post

7. Chapter 1 Introduction To Statistics
1.2 Statistical Thinking
1.3 Types of Data
1.4 Critical Thinking
1.5 Collecting Sample Data
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved.

8. Definitions Data Population Sample
Collections of observations (see section 1.3 for types of data).
Population
The complete collection of all individuals (data) to be studied.
Sample
A sub collection of members selected from a population.
Example: The ages of UAB students
Data Each student’s age
Population Every UAB student
Sample This class.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved.

9. Definitions Parameter Statistic
A numerical measurement describing some characteristic of a population.
Statistic
A numerical measurement describing some characteristic of a sample.
Example: Average age of a UAB student
Parameter Average age of every UAB student
Statistic Average age of this class

10. General Goals of Statistics
Making sense of lots of data
Summary Statistics
Graphing data
Identifying ‘unusual’ occurances
2. Determining characteristics of a population from a sample.
Using a sample statistic to estimate the population parameter. (Confidence Intervals)
Testing the value of a parameter from a using data from a sample. (Hypothesis testing).
Naturally, these results will never be 100% accurate.
BUT, we can determine how accurate they are
AND how to improve this accuracy

11. Course Plan Basics Probability Distributions Central Limit Theorem!
Definitions
Graphing Data
Summary Statistics
Probability
Core concepts
Rules of Probability
Playing Poker
Distributions
The way data is ‘shaped’
Central Limit Theorem!
When everything comes together
Estimating and Testing using Samples
Confidence Intervals
Hypothesis Testing
ANOVA

12. Thursday’s Class Will be held in the Math Learning Lab: HHB 202
Will setup CourseCompass account and begin practicing homework problems
Read Chapters 1 & 2 today or tomorrow.