Course Code: BUSA312943 Topics
Statistical Analysis for Business
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01
Introduction to Business Statistics02
Importance of statistics in business research03
Types of statistics and measurement scales04
Types of data and variables05
Data collection06
primary vs secondary07
Data Presentation and Central Tendency08
Grouped vs ungrouped data09
Frequency distribution and graphical representation10
Measures of central tendency (mean,median,mode)11
Application of central tendency measures in business scenarios12
Dispersion and Variability Analysis13
Measures of dispersion (range, variance, standard deviation)14
Coefficient of variation and its implications15
Interpreting dispersion for decision-making16
Probability and Normal Distribution17
Introduction to probability terminology18
Probability rules and applications in business contexts19
Normal distribution and its properties20
Using normal distribution for business analysis21
Estimation and Regression Analysis22
Point and interval estimation concepts23
least-Squares Regression Line24
properties and assumptions25
Calculating and interpreting regression results26
Coefficient of determination and correlation coefficient27
Multivariate Data Analysis and Factor Analysis28
Multivariate data analysis overview for business29
Validity concepts and their relevance30
Exploratory Factor Analysis31
uncovering latent patterns32
Confirmatory Factor Analysis33
validating assumptions34
Multiple Regression and Assumption Testing35
Understanding BLUE (Best Linear Unbiased Estimators)36
Applying multiple regression analysis in business37
Testing assumptions38
multicollinearity39
homoscedasticity40
linearity41
Interpretation and Application42
Emphasis on interpretation of statistical results43
Real-world application of statistics using data analysis softwarePast Papers
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