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A.1 |
The student should be familiar with the concept of discrete and continuous random variables |
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A.2 |
The student should learn mathematical expectation and some discrete and continuous probability distributions and methods of calculating them. |
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A.3 |
The student understands how to calculate the confidence interval for the mean and the ratio for one sample and the difference between two samples. |
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A.4 |
To learn to calculate hypothesis tests for the mean and ratio for one sample and the difference between two samples. |
2 . Mental skills .
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B.1 |
The student should distinguish between the discrete random variable and the continuous random variable |
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B.2 |
The student should be able to solve problems related to some mathematical predictions and probability distributions. |
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B.3 |
The student should be able to solve problems related to confidence intervals for the mean, ratios for one sample, and the difference between two samples . |
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B.4 |
The student should be able to solve problems related to hypothesis tests for the mean and the ratio of one sample and the difference between two samples. |
3 . Practical and professional skills .
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C.1 |
Ability to calculate some probabilities for discrete and continuous variables. |
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C.2 |
Ability to solve problems related to certain predictions and probability distributions. |
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C.3 |
Ability to solve problems related to confidence intervals for the mean, the ratio for one sample, and the difference between two samples . |
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C.4 |
distinguish between calculating hypothesis tests for the mean of a sample and the difference between the mean of two samples and the ratio and the difference between two ratios. |
4. General and imparted skills .
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D.1 |
Proper communication between students and the professor to understand the course. |
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D.2 |
Collaboration between students to solve problems in convincing scientific ways. |
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D.3 |
Proper use of the calculator to solve problems practically. |
Teaching and learning methods
1- Lectures.
2- Solve the exercises practically.
Methods of assessments
Rating No. | Evaluation methods | Evaluation Duration | Evaluation weight | Percentage | Rating Date (Week) |
First Assessment | First midterm exam | Two hours | 25 | 25% | Sixth |
Second Assessment | Second Midterm Exam | Two hours | 25 | 25% | Twelfth |
Final Evaluation | Final Exam | Two hours | 50 | 50% | By table |
Total | 100 degree | 100% | |||
course (contents)
Scientific topic | Number of Hours | Lecture | Exercises | Number of weeks |
Random variables and probability distributions | 10 | 6 | 4 | 2 |
Mathematical expectation and its characteristics | 5 | 3 | 2 | 1 |
Some discrete special probability distributions | 5 | 3 | 2 | 1 |
Some special probability distributions connected | 5 | 3 | 2 | 1 |
Preview distributions | 15 | 10 | 5 | 3 |
Estimate by point and estimate by period | 15 | 10 | 5 | 3 |
Hypothesis Tests | 15 | 10 | 5 | 3 |
· Frequency Distributions: Organizing Data – Array and Frequency Tables – relative and Cumulative Frequency Tables – Graphical Representations
· Measures of Central Tendency: The arithmetic Mean – Median – Mode – Geometric Mean - Harmonic Mean – Quartiles – Deciles – Percentiles.
· Measures of Dispersion: The Range, Mean Deviation, Standard Deviation, Coefficient of Variation and Coefficient of Quartile Variation, Measures of Skewness and Kurtosis.
· Random Variables and Probability Distributions: Concept of Random variable – Probability Function of Random Variable (Discrete and Continuous) - Binomial – Poisson – Normal - t-distributions – Chi-square and F-Distribution.
· Estimation: Concept of Point and Interval Estimation – Estimating the Population Variance and Estimating the Ratio of Two Variances.
· Testing of Hypotheses: Statistical Hypotheses: General Concepts – Testing a Statistical Hypothesis – The Use of P-Values for Decision Making in testing Hypotheses – One and Two Samples: Single Mean, Two Means, Single Proportion, Two Proportions, Single Variance and Two Variances.
· Simple Linear Regression and Correlation: The Simple Linear Regression Model – Least Squares and Fitted Model – Inferences Concerning the Regression Coefficients – Prediction – Simple Correlation – Rank and Rank Correlation.
(References)
Bibliography | Publisher | Version | Author | Where it is located |
Rapporteur notes | Explanatory note prepared by the course instructor |
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Textbooks | Statistics, Probability, Theory and Practice | 2000 | Dr. Ali Al-Ammari / Dr. Ali Al-Ojaili | College Library & Sales |
Help Books |
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Scientific Journals | ||||
Internet Sites |