In this Slides, show the some basic terminology, history, application of statistics and definition of statistics. How many Types of statistics? The Terminology is given below: -Probability -Scope -Sample -Population -Statistical Inference

1. Probability & Statistics
(Lecture # 01)
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Cell: +92300-7327761 Email: mr.harunahmad2014@gmail.com

2. Instructor Information
Name:
Muhammad Haroon (MSCS from BZU)
(PhD Scholar in Computer Science from HITEC University)
Contact information:
mr.harunahmad2014@gmail.com
Domain:
Machine Learning, Artificial Intelligence, Deep Learning, Data Science,
Image Processing, Computer Vision, Natural Language Processing,
Mobile Apps, Websites

3. Course Information
Name
Probability & Statistics
Lectures
16
Quizzes
10
Assignments
10
Attendance
75%
Semester Report + Project +Presentation
01
Note: The plagiarism & cheating cases would be reported to the Disciplinary Committee.

4. Classroom rules
Don’t
 Ask for leave
 Ask for quiz re-take
 Ask for assignment re-submit
 Ask for mobile call
 Ask for break
 20 minutes break

5. Classroom rules
Don’t
 Ask for leave
 Ask for quiz re-take
 Ask for assignment re-submit
 Ask for mobile call
 Ask for break
 20 minutes break

6. Statistics
Statistics is defined as the collection,
presentation, analysis and interpretation of data.

7. History
 Sir Ronald A Fisher was the founder of latest
statistics.
 Ronald is a British Statistician.

8. Applications
 Sir Statistics help us in understanding various
economic problems with precision and clarity.
Further, it enables us to frame policies in
relevant areas for better results.
 It is used in data mining
 It is used in artificial intelligence
 It is also used in data compression
 It is used in vision and image analysis.

9. Latest definition of Statistics
 It is a science of data that is very vital and
useable subject
 Vital means Rare

10. Applications of Statistics in Real Life.
Government Agencies
The government uses statistics to make decisions about populations,
health, education, etc. It may conduct research on education to check the
progress of high schools' students using a specific curriculum or collect
characteristic information about the population using a census.
Science and Medicine
The medical field would be far less effective without research to see which
medicines or interventions work best and how the human bodies react to
treatment. Medical professionals also perform studies by race, age, or
nationality to see the effect of these characteristics on health.

11. Applications of Statistics in Real Life.
Psychology
Although this is attached to both the science and medical field, success in
psychology would be impossible without the systematic study of human
behavior, often analyzing results statistically.
Education
Teachers are encouraged to be researchers in their classrooms, to see
what teaching methods work on which students and understand why. They
also should evaluate test items to determine if students are performing in a
statistically expected way. At all levels of education and testing there are
statistical reports about student performance, from kindergarten to an SAT
or GRE.

12. Applications of Statistics in Real Life.
Large Companies
Every large company employs its own statistical research divisions or firms
to research issues related to products, employees, customer service, etc.
Business success relies on knowing what is working and what isn't.

13. Discovery Project
Watch the weather forecast today? What statistics are given in the
forecast? Is there a chance of rain or snow given in the forecast? Does the
weather person tell what the average temperature is for the day? These
are all statistics or based on statistics. What is the forecast for the next
week? This is all based on statistics and what is called inferential
statistics, statistics used to predict values. Make a list of all the statistics
you hear or see from the weather forecast.

14. Research Project
Use an Internet search engine to research the concepts of mean, median,
and mode. During your research, determine when and why each of
these is used. Is one of these used more frequently than others? Which
do you think is the easiest to calculate? Now let's apply it. Suppose you
have a gerbil that ate 10 food pellets on Sunday, 12 on Monday, 9 on
Tuesday, and 10 on Wednesday. You would like to approximate how
many pellets the gerbil will eat on Thursday. Would you use the mean,
median, or mode to decide? Why did you pick this method?

15. Types
 There are two types of statistics.
Descriptive statistics
 It consist of method for organizing and summarizing information in a
presentable and effective way
Inferential statistics
 It consist of methods of drawing conclusions about a population based
on information obtained from a sample of the population

16. Probability
 Probability is the likelihood or chance or the occurrence of an event
 Probability and statistics are interrelated
 Probability is often called the vehicle of statistics
 The range of probability is 0 to 1
 Probability can't be negative

17. Scope
 Economics
 Management
 Sociology
 Astronomy
 Physics

18. Sample
A sample is a part or subset of the Population. A sample consist of One
or more observation which is drawn from sample.it is denoted by n. The
element of a sample are known as sample point.
Examples
 100 voters selected at random for interview
 A few parts selected for destructive testing
 Every 100th receipt selected for audit

19. Population
A population or a statistical population is a collection or set of all possible
observations weather finite or infinite. It is denoted by N.
Examples
 All parts produced today
 All sales receipts for march
 All likely voters in the next election

20. Statistical Inference
Statistical inference use to draw conclusion about population based on
sample data
There are two methods
 Estimation
 Testing of hypothesis

21. End
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Cell: +92300-7327761 Email: mr.harunahmad2014@gmail.com