A.1 | The student will be able to understand the basics of mathematical statistics and find the resolve of the central and central population and sample |
A.2 | The student will be able to take samples from the normal distribution, the distribution of the sample mean and for the difference or the sum of the mean of two samples and the chi-square, F, t |
A.3 | The student will be able to introduce the arranged statistics |
A.4 | The student will be able to introduce the limit theory (convergence by probability and distribution) the central limit theory and its applications |
In. Mental (skills)
B.1 | That the student can distinguish between the determination of the community and the central and decentralized sample |
B.2 | The student should be able to use samples from the normal distribution, the average distribution of the sample, the difference between the combined averages, the distribution of t, F, and the chi-squared |
B.3 | The student should be able to find the distribution of some arranged statistics |
B.4 | The student should be able to use the limit theorem in convergence and the central limit theorem |
c. Practical & Professional (Skills)
.
C.1 | Ability to use the central and decentralized community and sample moment |
C.2 | Ability to use samples from normal distribution, sample mean distribution, difference between combined averages, t, F distribution, and chi-squared |
C.3 | Ability to use ordered statistics |
C.4 | Ability to use limit theorem and central limit theorem in some applications |
W. Generic (and transferable skills)
D.1 | The student will be aware of the skill of deduction. |
D.2 | The student will be able to use them in subsequent applications |
D.3 | Skill of communicating with colleagues orally and in writing. |
Teaching and learning methods
· Lectures
· Exercises
· Discussions
Methods of assessments
. (Assessment table)
Rating No. | Evaluation methods | Evaluation Duration | Evaluation weight | Percentage | Rating Date (Week) | Reviews |
First Assessment | First Midterm Exam | Two hours |
| 25% | Sixth week |
|
Second Assessment | Second Midterm Exam | Two hours |
| 25% | Week Eleven |
|
Final Evaluation | Final Exam | Two hours |
| %50 | Final Exams Week |
|
Total | 100 degree | 100% | ||||
Course (contents)
Scientific topic | Number of Hours | Lecture | laboratory | Exercises | discussion | Number of weeks |
Random sample and sampling distributions | 5 | 3 |
| 2 |
| 1 |
The determination of the sample and the central and central community | 5 | 3 |
| 2 |
| 1 |
The moment-generating function of the sum of independent random variables | 5 | 3 |
| 2 |
| 1 |
Distribution of the sum of independent random variables of Bernoulli, Binomial, Poisson, geometric, exponential, chi-square, gamma, and natural | 5 | 5 |
|
|
| 1 |
Sampling of normal distribution, distribution of the sample mean and for the difference or sum of the mean of two samples | 5 | 3 |
| 2 |
| 1 |
Independence for mean and variance of the sample | 5 | 3 |
| 2 |
| 1 |
Distribution of chi-square, t F | 10 | 6 |
| 4 |
| 2 |
Ranked statistics | 10 | 6 |
| 4 |
| 2 |
The characteristic function and its properties | 5 | 3 |
| 2 |
| 1 |
Central limit theory | 5 | 3 |
| 2 |
| 1 |
Convergence by probability and distribution | 10 | 6 |
| 4 |
| 2 |
(References )
Publisher | Version | Author | Where it is located | |
Rapporteur notes | Course Professor's Memoirs |
|
|
|
Textbooks | University of Tripoli | 1999 | Doctor Abdul nabi Albouzidi |
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Help Books |
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Scientific Journals |