1. Welcome to Statistics World
Note: This PowerPoint is only a summary and your main source should be the book.

2. E-mail: alaa.saud@hotmail.com
Instructor: Alaa saud
M.W sections: BA6
8->9:20
M.W DA5
9:30->11:50
M.W 11->12:30 Office hours:
Office room : Statistic office
Note: This PowerPoint is only a summary and your main source should be the book.

3. Course Information
Course name and number: General Statistics. STAT 110
Course website address:
Textbook :Elementary Statistics a Step by Step Approach, 7th Edition by Allan Bluman, McGraw/Hill, 2009.
Available at Alsheqary bookstore
Note: This PowerPoint is only a summary and your main source should be the book.

4. Class Rules

5. The Nature of Probability and Statistics
CHAPTER 1
The Nature of Probability and Statistics
Note: This PowerPoint is only a summary and your main source should be the book.

6. Introduction
Statistics: is the science of conducting studies to collect ,organize,summarize,analyze and drawing conclusions from data.
A Variable: is characteristic or attribute that can assume different values.
Data: are the values that the variables can assume.
Random Variable: variables whose determined by chance. .
data set : Collection of data values .
Note: This PowerPoint is only a summary and your main source should be the book.

7. 1-1:Descriptive and Inferential Statistics
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8. Descriptive Statistic Inferential statistics
Data can be used in different ways and the two main areas are
Descriptive Statistic
consists of the collection , organization , summarization and presentation of data.
EX:”the average age of the student is 14 years”
Inferential statistics
consists of generalizing from samples to populations, performing estimations and hypothesis testing, determining relationships among variables, and making predictions.
EX: the relationship between smoking and lung cancer”
Inferential statistic use Probability i.e the chance of an event occurring .
Note: This PowerPoint is only a summary and your main source should be the book.

9. 1-1:Descriptive and Inferential Statistics
It is important to distinguish between
A population:consists of all subjects (human or otherwise) that are being studied.
A sample :is a group of subjects selected from a population
Note: This PowerPoint is only a summary and your main source should be the book.

10. 1-2:Variables and Types of Data
Qualitative
Quantitative
Discrete
Continuous
Note: This PowerPoint is only a summary and your main source should be the book.

11. 1-2:Variables and Types of Data
Qualitative Variables: are variables that can be placed into distinct categories ,according to some characteristic or attribute.
For example: Gender ,Major ,Color……etc
Quantitative variables : are numerical and can be ordered or ranked.
For example: Age ,Height , Weight ,temperature …..etc
Note: This PowerPoint is only a summary and your main source should be the book.

12. 1-2:Variables and Types of Data
Discrete Variables: assume values that can be counted
For example: number of children in a family ,
number of student in classroom……etc
Continuous Variables: assume an infinite number of values between any two specific values.
For example: Temperature , Time …..etc
Note: This PowerPoint is only a summary and your main source should be the book.

13. 1-2:Variables and Types of Data
Measurement Scales
Qualitative
Nominal
Ordinal
Quantitative
Interval
Ratio
Note: This PowerPoint is only a summary and your main source should be the book.

14. 1-2:Variables and Types of Data
Measurement Scales of Qualitative
Nominal
classifies data into mutually exclusive , exhausting categories in which no order or ranking can be imposed on the data
Ordinal
classifies data into categories can be ranked
For example: Grade(A,B,C) , Size( S,M,L)
For example: Eye color , Major ,Gender
Note: This PowerPoint is only a summary and your main source should be the book.

15. 1-2:Variables and Types of Data
Measurement Scale of Quantitative
Interval level
ranks data and precise differences between units of measure do exist ,however there is no meaningful zero
Ratio level
possesses all the characteristics of interval,and there exist a true zero.
For example: Height , Weight, Time
For example: Temperature , IQ test
Note: This PowerPoint is only a summary and your main source should be the book.