Yarmouk University- Faculty of Science, Dept of Statistics

Course Syllabus Stat - 101 (Introduction to Statistics (1))

Instructor Information

Instructor: Abedel-Qader S Al-Masri

Office Location: New Building (NB 455)

Telephone: Office–02 7211111 X. 2483

E-mail:

Office Hours:Sun-Tues-Thru (10 –11 am), Mon -Wend (12:30pm – 1:30pm)

Student Learning Outcomes

Collecting data, census and sampling survey, Bias, Types of data. Sampling methods. Describing data using graphical methods. Measures of location and variability. Probability. Random variables and sampling distributions. Point and interval estimate, Simple linear regression, correlation coefficient hypothesis testing for a single population parameter.

Course Resources

Textbook: Introduction to Probability and Statistics. Mendenhall, W., Beaver, J. and Beaver, M., 13thEdition,2009, BROOKS/COLE.

Other Readings: PowerPoint sides are available in the course E-learning web site.

Course website: faculty.yu.edu.jo/almasri

Grading Policy

First Exam / 25% / Chapters 1, 2, 3
Second Exam / 25% / Chapters 4, 6
Final Exam / 50% / Chapters 2,3,4,6,7,8,9

Topic Outline

Week / Section / Topics
1 / Chapter 1 / Describing Data with Graphs
1.1 / Variables and Data
1.2 / Types of Variables
1.4 / Graphs of Quantitative Variables
1.5 / Relative Frequency Histograms
2 / Chapter 2 / DESCRIBING DATA WITH NUMERICAL MEASURES
2.1 / Describing a Set of Data with Numerical Measures
2.2 / Measures of Center
2.3 / Measures of Variability
3 / 2.4 / On the Practical Significance of the Standard Deviation
2.5 / A Check on the Calculation of s
4 / 2.6 / Measures of Relative Standing
2.7 / The Five-Number Summary and the Box Plot
5 / Chapter 3 / DESCRIBING BIVARIATE DATA
3.1 / Bivariate Data
3.3 / Scatterplot for Two Quantitative Variables
3.4 / Numerical Measures for Quantitative Bivariate Data
First Exam
6 / Chapter 4 / PROBABILITY AND PROBABILITY DISTRIBUTIONS
4.1 / The Role of Probability in Statistics
4.2 / Events and the Sample Space
4.3 / Calculating Probabilities Using Simple Events
7 / 4.5 / Event Relations and Probability Rules
Calculating Probabilities for Unions and Complements
4.6 / Independence, Conditional Probability, and the Multiplication Rule
8 / 4.8 / Discrete Random Variables, Their Probability Distributions, The Mean and
Standard Deviation
Chapter 6 / THE NORMAL PROBABILITY DISTRIBUTION
6.1 / Probability Distributions for Continuous Random Variables
9 / 6.2 / The Normal Probability Distribution
6.3 / Tabulated Areas of the Normal Probability Distribution,
The Standard Normal Random Variable,
Calculating Probabilities for a General Normal Random Variable
Second Exam
10 / Chapter 7 / SAMPLING DISTRIBUTIONS
7.1 / Introduction
7.3 / Statistics and Sampling Distributions
7.4 / The Central Limit Theorem
7.5 / The Sampling Distribution of the Sample Mean
Chapter 8 / Standard Error
8.1 / LARGE-SAMPLE ESTIMATION
8.2 / Where We’ve Been
8.3 / Where We’re Going—Statistical Inference
8.4 / Types of Estimators
Point Estimation, Margin of error
11 / 8.5 / Interval Estimation, Constructing a Confidence Interval Large-Sample
Confidence Interval for a Population Mean Interpreting the Confidence
Interval
12 / Chapter 9 / LARGE-SAMPLE TESTS OF HYPOTHESES
9.1 / Testing Hypotheses about Population Parameters
9.2 / A Statistical Test of Hypothesis
13 / 9.3 / A Large-Sample Test about a Population Mean, The Essentials of the Test
Calculating the p-Value
14 / Applications (Error Types)
Chapter Number and Title / Required Exercises
1. Describing Data with Graphs / 1 / – 11, 18, 20–23, 25, 28(a,d,e), 38, 40 – 42
2. Describing Data with Numerical Measures / 1 / – 3, 5, 8, 10, 13 –17, 19  22, 24, 25, 38,
40 – 46, 53, 57, 58, 64, 72,
3. Describing Bivariate Data / 9 / – 14, 20, 35
4. Probability and Probability Distributions / 1 / – 8, 13, 40 – 53, 56, 57, 67, 68, 80 – 85, 93,
109, 123, 131
6. Normal Probability Distribution / 1 /  34
7. Sampling Distributions / 19  34
8. Large-Sample Estimation / 1 /  6, 12 14, 18, 21  31, 37
9. Large-Sample Tests of Hypotheses / 1 /  7, 9  17

Important Notes

It is the student responsibility to know details of class, e.g. place, time, section number, exam dates & places.

If a student’s absence exceeds 15% of the classes (6 hours), his/her final grade in the course will be 35 and he/she will not be allowed to attend the final exam according to Yarmouk University (YU) laws.

In case of absence, the student is responsible for any missed classes.

Cheating in exams is not allowed. According to YU laws, a cheater gets a zero in that exam and is transferred to the investigation committee in the faculty of science.

Making noise in classes is not accepted. Always keep your mobile off during classes & exams.

The transfer between different sections is NOT permitted.