KING FAHD UNIVERSITY OF PETROLEUM & MINERALS
DEPARTMENT OF MATHEMATICAL SCIENCES
DHAHRAN, SAUDI ARABIA
STAT319: PROBABILITY & STATISTICS FOR
ENGINEERS & SCIENTISTS
Laboratory
Outline-term 032 (Fall semester 032)
Instructor: Office: 4-104-6
Phone:
E-mail:
Office Hours:
Course Objectives:
This Lab of STAT 319 course is aimed at helping the student in the following ways:
- To easily understanding and appreciate the
practicability of the concepts taught in the STAT 319 curriculum.
- To develop their ability to properly analyze
and solve problems, and reasonably interpret their results.
- To learn how to use STATISTICA in solving a
range of statistical problems.
Assessment
Assessment for this Lab
will be based on class work, attendance, one major exam and a comprehensive
final exam, as in the following:
Activity |
Weight |
|
Class works and
attendance |
30% |
|
Mid Term Exam |
35% |
|
Final
Exam |
35% |
Resources:
The student must bring the Lab Manual with them to every laboratory session.
Suggested Class work and Tutorial Problems
Students are encouraged
to do the problems at Lab.
Lab 1: 2.1(a,b)
Lab 2: 2.11(c,d), 2.17
Lab 3: 2.14, 2.18,
Lab 4: 2.2, 2.6, 2.15
Lab 5: 8.3, 8.4, 8.5(a,b)
Lab 6: 4.13, 5.16, 5.17
Lab7: 4.12, 4.14
Lab 8: Mid Term Exam
Lab 9: 3.12, 3.19,
3.4 3.6, 4.31, 4.36
Lab 10: 5.7, 5.11,
5.13
Lab 11:5.22, 5.23, 6.1,
6.2
Lab 12: 6.18, 6.23
Lab 13:7.1, 7.3, 7.12
Lab 14: 8.8, 8.15
Syllabus and
weekly coverage of material
|
Lab |
Topic |
Section |
|
01 14/2-19/2 |
Introduction
to Statistica: Creating a new data sheet, Naming the variables, Saving and
retrieving file types, Copying results into text. Drawing simple random samples by a table of
random number and by Statistica. |
1.1-1.2 2.1-2.2 |
|
02 21/9-26/2 |
Graphical
description of data: Stem and Leaf, Dot-Plot and Frequency table, Graphs of
Frequency Distributions: Histogram, Frequency-Plot. |
2.3 -2.5 |
|
03 28/2-4/3 |
Bar
Chart and Pie Chart. Numerical Measures: Mean, Median and Mode, Range,
Variance, Standard Deviation Percentiles, Quartiles. Descriptive Statistics
using Statistica |
2.6-2.7 |
|
04 6/3–11/3 |
Empirical
Rule, Coefficient of Variation and Skewness and Sample
Proportion and by Statistica, Box-plot and approximate Mean and Variance of
Grouped Data. |
2.7-2.10 |
|
05 13/3-18/3 |
Linear Regression: Scatter
Diagram, Correlation Coefficient, Estimating of line of best fit, Sources of
variation, and multiple regressions |
8.1-8.4 & 8.10 |
|
06 20/3-25/3 |
Using
z-table and t-table |
5.5(t) |
|
07 27/3-1/4 |
Probability
calculator and Normal distribution |
4.1&4.3 |
|
08 3/4–8/4 |
Mid Term Exam |
|
|
09 10/4-15/4 |
Other probability distributions: Binomial distribution Geometric,
Poisson, Exponential, Gamma, Weibull, Lognormal, and Beta distributions |
3.1- 3.4 4.2 &4.4 |
|
10 17/4-22/4 |
Sampling
Distributions of Sums and Means and the Central Limit Theorem, the Normal
Approximation to the Binomial Distribution, Drawing a Random Sample from a
known Distribution |
5.1-5.3 |
|
11 24/4-29/4 |
Use |
5.4-5.5 & 6.1-6.3 |
|
12 1/5-6/5 |
Confidence
Interval Estimation of the Difference Between Two Population Means, Large
Sample Confidence Interval Estimation of a Population Proportion and Large
Sample Confidence Interval Estimation of the Difference Between Two
Population Proportions. |
6.4-6.6 |
|
13 8/5-13/5 |
Testing
Hypotheses about a Population Mean, Testing the Difference between Two
Population Means and Large Sample Tests of Proportions. |
7.1-7.3 |
|
14 15/5-20/5 |
Confidence Interval
estimation of regression parameter, Prediction Interval (PI) for a Future Observation |
8.5-8.9 |
|
15 23/5 – 26/5 |
Final Exam |
|
, Testing the Slope of the Regression Line (testing of
significance of the regression by a t-test and by F-test), checking the model
assumptions.