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    Subject Notes Illustration
    Subject Notes Illustration
    Course Code: MS-25136 Topics

    Probability and Statistics

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    36
    Total Topics
    0
    Completed
    36
    Pending
    4
    Units / Chapters
    Chap 1:

    Introduction

    0/7 done7 topics
    01
    Statistics and Data Analysis
    02
    Statistical Inference
    03
    Samples, Populations, and the Role of Probability
    04
    Sampling Procedures
    05
    Discrete and Continuous Data
    06
    Statistical Modeling
    07
    Types of Statistical Studies
    Chap 2:

    Probability

    0/7 done7 topics
    08
    Sample Space, Events, Counting Sample Points
    09
    Probability of an Event
    10
    Additive Rules
    11
    Conditional Probability
    12
    Independence and the Product Rule
    13
    Bayes’ Rule
    14
    Random Variables and Probability Distributions
    Chap 3:

    Mathematical Expectation

    0/17 done17 topics
    15
    Mean of a Random Variable
    16
    Variance and Covariance of Random Variables
    17
    Means and Variances of Linear Combinations of Random Variables
    18
    Chebyshev’s Theorem
    19
    Discrete Probability Distributions
    20
    Continuous Probability Distributions
    21
    Fundamental Sampling Distributions
    22
    Sampling Distributions and Data Descriptions
    23
    Random Sampling
    24
    Sampling Distributions
    25
    Sampling Distribution of Means and the Central Limit Theorem
    26
    Sampling Distribution of S2
    27
    t-Distribution
    28
    F-Quantile and Probability Plots
    29
    Single Sample & One- and Two-Sample Estimation Problems
    30
    Single Sample & One- and Two-Sample Tests of Hypotheses
    31
    The Use of P-Values for Decision Making in Testing Hypotheses
    Chap 4:

    Regression

    0/5 done5 topics
    32
    Linear Regression and Correlation
    33
    Least Squares and the Fitted Model
    34
    Multiple Linear Regression and Certain Nonlinear Regression Models
    35
    Linear Regression Model Using Matrices
    36
    Properties of the Least Squares Estimators

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