###### Attachments
• • • ##### Syllabus
 Stat 1050  -  Probability and Statistics for Computer Students Units Hours Theoretical Practical 3 3 2
##### Course Catalog Description

Descriptive statistics, statistical data classification, measures of central tendency, measures of dispersion. Basic probability concepts, conditional probability, Bayes law, random variable and probability distribution. Some discrete distributions, some continuous distributions and its applications. Sampling distribution of the mean, central limit theorem, estimation of the population mean and proportion, testing hypotheses about population mean and proportion. Course must focus on applications in the field of computer engineering and sciences

None

##### Textbook

Elementary Statistics A Step by Step Approach,� 8th Edition, 2012. .

##### Authers

Allan G. Bluman, McGraw-Hill Inc

##### Instructor

Dr. Mansour Yassen Ali

Evaluation Type Weight
1 .  First Mid-Exam 15 % ()
2 .  Second Mid-Exam 15 % ()
3 .  homework’s, attendance and participation 10 % ()
4 .  Final Exam 60 % ()
##### Learning Outcome
Outcome Proficiency Assessment
1 .  This course aims to help students to be able to summarize the data and to describe it. Also to understand the basic probability and counting techniques, study some probability distributions, and make some inferences about population means and proportions. exam
##### Topics
1

The Nature of Probability and Statistics

· Descriptive and Inferential Statistics

· Variables and Types of Data

· Data Collection and Sampling Techniques

2

Frequency Distributions and Graphs

· Introduction

· Organizing Data

· Categorical Frequency Distributions

· Grouped Frequency Distributions

3

Frequency Distributions and Graphs

· Cumulative frequency distributions

· Histograms, Frequency Polygons, and Ogives

· Other Types of Graphs

4

Data Description

· Introduction

· Measures of Central Tendency

5

Data Description

· Measures of Variation

· Measures of Position

6

Probability and Counting Rules

· Introduction

· Sample Spaces and Probability

· The Addition Rules for Probability

7

Probability and Counting Rules

· The Multiplication Rules and Conditional Probability

· Counting Rules

· Probability and Counting Rules

8

Discrete Probability Distributions

· Introduction

· Probability Distributions

· Mean, Variance, Standard Deviation, and Expectation

· The Binomial Distribution

9

Discrete Probability Distributions

· Poisson Distribution

· Geometric distribution

· Hyper-geometric distribution

10

Continuous Probability Distributions

· Introduction

· Probability Distributions

· Mean, Variance, Standard Deviation, and Expectation

· The Normal Distribution

11

Continuous Probability Distributions

· Applications of the Normal Distribution

· The Central Limit Theorem

12

· The Normal Approximation to the Binomial Distribution

· Other Types of continuous Distributions

13

Confidence Intervals and Sample Size

· Introduction

· Confidence Intervals and Sample Size for the Mean

· Confidence Intervals and Sample Size for Proportions

14

Hypothesis Testing

· Introduction

· Steps in Hypothesis Testing—Traditional Method

· z Test for a Mean

· t Test for a Mean

· z Test for a Proportion

15

Revision