Course Description:
Describing statistical data by tables, graphs, and numerical measures, Chebychev’s inequality and the empirical rule, counting methods, combinations, permutations, elements of probability and random variables, the binomial, the Poisson, and the normal distributions, sampling distributions, elements of testing hypotheses, statistical inference about one and two populations parameters.
Textbook:
Principles of Statistics (Latest Edition) by M. Raqab, A. Awad and M. Azzam, Publisher: Academic for Publishing and Distributing Co. Jordan.
References:
- Introduction to Probability and Statistics, 14th edition. By W. Mendenhall, R. Beaver, and B. Beaver. Publisher: Brooks/Cole 2013.
- Introduction to Probability and Statistics, Principles and Methods, 3rd Edition. By R. A. Johnson and G. K. Bhattacharyya. Publisher: Wiley, New York 1996.
Lecture Notes:
The following lecture-by-lecture notes were handwritten by Dr. Baha Alzalg. These materials might not be
used for commercial purposes without my consent.
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Topic #
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Topic(s)
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Scribe
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1
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Introduction and terminologies
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PDF
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2
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Frequency tables
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PDF
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3
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Graphical representation of data
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PDF
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4
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Measures of location - row data
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PDF
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5
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Meausres of location - grouped data
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PDF
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6
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Meausres of variation
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PDF
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7
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Chebyshev and empirical rules
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PDF
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8
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Coding data
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PDF
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9
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Random experiment
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PDF
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10
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Classical probability and counting rules
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PDF
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11
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Conditional probability, Bayes, and indep.
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PDF
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12
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Univariate random variables
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PDF
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13
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Binomial distribution
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PDF
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14
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Normal distribution
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PDF
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15
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The distribution of the sample mean
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PDF
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16
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The distribution of the sample variance
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PDF
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17
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The distribution of the sample proportion
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PDF
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18
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The dist. of difference between two populations
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PDF
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19
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Confidence interval for a population
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PDF
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20
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Statistical hypothesis testing
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PDF
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