Introduction to statistics and probability (STAT 101)
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 :
Descriptive, Inferential Statistics and Variables and Types of Data, Data Collection and Sampling Techniques, Organizing Data Categorical Frequency Distributions Grouped Frequency Distributions, Box Plot, Stem and Leaf Plots, Introduction to Samples, Measures of Central Tendency, The Weighted Mean and Distribution Shapes, Measures of Centre and Locations, Range, Variance, and Standard Deviations, Coefficient of Variation, Pearson and Superman Regression, Linear Regression and Correlations, Diagram of the Sample Space, Counting Rules and Probability, Probability and Counting Rules, Definition and Concept of Probability, The Addition Rules for Probability, The Multiplication Rules and Conditional Probability, Fundamental Theorem of Probability, Discrete Random Variable Function, Continuous Random Variable Function, Bernoulli Trails, Random Variable Functions Related to the Probability, Binomial Probability Distribution, Poison Distribution, Z _Score, Finding Areas Under the Standard Normal Distribution Curve and Application, Testing Hypothesis.
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Target Group :
*Academic Level : Academic University Student
* Speciality : Mathematics
* Material : Introduction to statistics and probability (STAT 101)
* University Name : Qassim University -
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Speciality : Mathematics
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