Na2.txt

Topics in notes  		
Statistics
A) Basic 
B) Advanced
 
A) Basic Statistics:
  a) Statistics - Introduction
  b) Different Areas of Statistics

a)Statistics-Introduction:
 	Statistics is the sience of conducting studies to collect organize and summarize, analyse and draw conclusion out of data.
 	Raw Data----Statistics----> Meaningful information
 	Unorganized Data - Statistics Techniques -> Organized Data
 	Gives first insights to Business
 	Narrow down the data

Types of  Datasets we handle:
	Primary Data  - Data limited within organization
	Seondary Data - Data Available in Public

Uses:
 Healthcare, Education, Business, Insurance, Marketing, Telecom


b)Different Areas of Statistics
1) Descriptive Statistics 
2) Inferential Statistics

Descriptive Statistics:
   Its the first level of applying statistics technique on Raw Data to understand the meaning of it.
   Numerical and Graphical Technique is available in Descriptive statistis.

Numerical:
   Mean, Mode, Median, Variance, Standard Deviation and Percentage

Graphical:
   Bar Graph, Scatter Plot, Histogram, Pie chart, Line chart

Inferential statistics:
   After descriptive analysis (understanding the data), but how you deliver your insights to client. 
   Thats where inferential statistics comes into picture.


B) Advanced Statistics
    a) Covariance
    b) Correlation
    c) Collinearity

a) Covariance
       If you have two variables x, y, How the two variables are related in a linear way is Covariance.
       Find Formula in a word document named Formula.Word.
       If Covariance is positive then, two variables have positive linear relationship
       If Covariance is negative then, twovariables have negative linear relationship
       
Problem with Covariance
 When the two variables are in different scale, its bit complicated to mention the covariance in a right scale.
 To avoid this, we have correlation