# Course Catalogue

Course Code: STA 206
Course Name:
Probability and Statistics
Credit Hours:
3.00
Detailed Syllabus:

Introduction. Sets and probability. Random variable and its probability distribution. Treatment of grouped sampled data. Some discrete probability distribution. Normal distribution. Sampling theory. Estimation theory. Tests of hypothesis. Regression and correlation. Analysis of variance.

Course Code: STA 2101
Course Name:
Probability and Statistics
Credit Hours:
3.00
Detailed Syllabus:

Introduction to Statistics: what is statistics, statistical data, statistical methods, scope and limitation of statistics, Populations and Samples, collection and presentation of data, Grouped Data and Histograms, Some Graphical Methods: bar charts, time plots, Pie charts, scatter plots, box and Whisker plots, Measure of Central Tendency: mean, median and mode. Measure of Variations, Measure of Skewness, Moments and Kurtosis, difference between Variation and Skewness. Correlation and Regression Analysis: significance of the study of correlation, types of correlation, difference between correlation and regression Analysis, Sampling and Sampling Distributions, Survey Sampling Methods. Probability: Probability: meaning of probability, classical definition of probability, statistical probability, some theorems in probability, distribution function. Probability distributions: Binomial, normal and exponential distributions.

Course Code: STAT 206
Course Name:
Statistics and Probability
Credit Hours:
3.00
Detailed Syllabus:

Statistics:
Introduction to Statistics: what is statistics, statistical data, statistical methods, scope and limitation of statistics, Populations and Samples, collection and presentation of data, Grouped Data and Histograms, Some Graphical Methods: bar charts, time plots, Pie charts, scatter plots, box and Whisker plots, Measure of Central Tendency: mean , median and mode, Measure of Variations, Measure of Skewness, Moments and Kurtosis, difference between Variation and Skewness, Correlation and Regression Analysis: significance of the study of correlation, types of correlation, difference between correlation and regression Analysis, Sampling and Sampling Distributions, Survey Sampling Methods.

Probability:
Probability: meaning of probability, classical definition of probability, statistical probability, some theorems in probability, distribution function, probability distributions:
Binomial, normal and exponential distributions.