Statistics and Probability (MATH 339)
Data collection, summarization, correlation, regression, probability, sampling, estimation, tests of significance.
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About the Course
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It is an introductory course in statistics intended for students in a wide variety of areas of study. Topics discussed include displaying and describing data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world. Students also have the opportunity to analyze data sets.
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You Will Learn :
Definition and General View of Statistics, Organization and Presentation of Statistical Data, Graphical Representation, Measures of Central Tendency Mean, Median and Mode of The Simple Data and the Frequency Distribution, The Range and The Variance and the Standard Deviation, Coefficient of Variation of The Simple Data and The Frequency Distribution, Moments and Measure of Skewness and Kurtosis, Simple Linear Regression, Regression and Correlation Applications, Pearson Regression, Linear Regression and Correlations, Counting Techniques Permutation and Combinations, Counting Rule and Probability, Sample Space and Events, Addition Rule, Multiplication Rule, Definition of the Probability and Its Applications, Conditional Probability and Bayes Theorem, Fundamental Theorem of Probability, Discrete Random Variable Function, Continuous Random Variable Function, Random Variable Functions Related to the Probability, Binomial Probability Distribution, Poison Distribution, Z – Score, Normal Distribution, Chebyshev’s Inequality.
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Target Group :
*Academic Level : Academic University Student
* Speciality : Mathematics
* Material : Statistics and Probability (MATH 329)
* University Name : King Khalid University -
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