Introduction to Statistics & Probability 2 Code 104 ريض

CREDIT HOURS: 4 UNITLecture 3.0 hours/weekTutorial 1.0 hour/on every week

a. This course introduces the students to the concept of probability and random variables

b. Also deals with the conditional probabilityc. The course also looks into probability distribution of some

discrete and continuous variables ..

Learning Objectives:

Identify the role of probability in our life by learning the principal and rules of probability, conditional probability, independent events and Bayes Theorem.

Demonstrate understanding discrete and continuous probability distributions

References: H.Hsu, 2nd Edition “Probability, Random Variables,

Random Processes”, Schaum’s Outline Series, McGraw Hill, 2011

Statistics and probability

Dr Anies Ismaaeil Kinjo 2nd Edition

King Saud University

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Starting From Week 2 Sunday [10:00 – 12:00]-[1-2] (9-04-1435 h) – LEC. 3[ H] Monday 1:00 – 2:00 (10-04-1435 h) – Tutorial 1 [H] 

ASSESSMENTS

MidTerm 1 (15%)MidTerm 2 (15%)

Internal Assessment(10%)

FINAL EXAM (60 %)

Question 1Question 2

Question 3

Question 4

Question 5

9/4/1435 h Sunday

Lecture 1

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Q:Define the following

1. ProbabilityProbability refers to the study of randomness and uncertainty.2. Random Variablenumerical measurements or observations that have uncertain variability each time they are repeated are called random variables

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.3. Distributionthe term “distribution” refers to how probability is spread out.4. Random Processany process whose possible results are known but actual results cannot be predicted with certainty in advance.5. Experiment: process by which an observation or measurement is obtained (yield outcomes)

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6. Outcome : each possible result for a random process

7. Sample Space: Is the set of all possible outcomes of an experiment. denoted by S, 8. Event : Is any collection (subset) of outcomes

contained in the sample space S.

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Types of eventsQ: Mention and define types of events?1. simpleAn event is if it consists of exactly one outcome

2. CompoundAn event that consists of more than one outcome.3. Null event: An event with no outcomes (=

impossible event, empty set).4/1435 h 8