Tel me about the topics of Business statistics for FMI university Sofia

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The topics of Business statistics for FMI university Sofia
Are as follows:

Greek Letters Commonly Used in Statistics
Type of Data and Levels of Measurement
Sampling Methods
Number of Class Intervals in a Histogram
How to Construct a Box Plot
Outlier Removal
Statistical Summaries
Representative of a Sample: Measures of Central Tendency
Selecting Among the Mean, Median, and Mode
Quality of a Sample: Measures of Dispersion
Guess a Distribution to Fit Your Data: Skewness & Kurtosis
A Numerical Example & Discussions

What Is So Important About the Normal Distributions
What Is a Sampling Distribution
What Is Central Limit Theorem
What Is "Degrees of Freedom"

Parameters' Estimation and Quality of a 'Good' Estimate
Procedures for Statistical Decision Making
Statistics with Confidence and Determining Sample Size
Hypothesis Testing: Rejecting a Claim
The Classical Approach to the Test of Hypotheses
The Meaning and Interpretation of P-values (what the data say)
Blending the Classical and the P-value Based Approaches in Test of Hypotheses
Conditions Under Which Most Statistical Testings Apply
Homogeneous Population (Don't mix apples and oranges)
Test for Randomness: The Runs Test
Lilliefors Test for Normality
Statistical Tests for Equality of Populations Characteristics
Two-Population Independent Means (T-test)
Two Dependent Means (T-test for paired data sets)
More Than Two Independent Means (ANOVA)
More Than Two Dependent Means (ANOVA)
Power of a Test
Parametric vs. Non-Parametric vs. Distribution-free Tests
Chi-square Tests
Bonferroni Method
Goodness-of-fit Test for Discrete Random Variables
When We Should Pool Variance Estimates
Resampling Techniques: Jackknifing, and Bootstrapping
What is a Linear Least Squares Model
Pearson's and Spearman's Correlations
How to Compare Two Correlations Coefficients
Independence vs. Correlated
Correlation, and Level of Significance
Regression Analysis: Planning, Development, and Maintenance
Predicting Market Response
Warranties: Statistical Planning and Analysis
Factor Analysis