@@ -20,11 +20,12 @@ Enable the business to make intelligent, fact-based decision.
20206 . Information Gain and Entropy
21217 . Probability and it's Uses
22228 . Baye's Theorem
23- 9 . Statistical Inference
24- 10 . Hypothesis Testing
25- 11 . Testing the Data
26- 12 . Data Clustering
27- 13 . Regression Modelling
23+ 9 . Probability Distribution
24+ 10 . Statistical Inference
25+ 11 . Hypothesis Testing
26+ 12 . Testing the Data
27+ 13 . Data Clustering
28+ 14 . Regression Modelling
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2930
3031### What is statistics?
@@ -461,10 +462,10 @@ Bayes' theorem can be stated as follows:
461462
462463 The formula is: P(A|B) = P(A) P(B|A)P(B)
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464- Which tells us:how often A happens given that B happens, written P(A|B),
465- When we know:how often B happens given that A happens, written P(B|A)
466- and how likely A is on its own, written P(A)
467- and how likely B is on its own, written P(B)
465+ Which tells us:how often A happens given that B happens, written P(A|B),
466+ When we know:how often B happens given that A happens, written P(B|A),
467+ and how likely A is on its own, written P(A),
468+ and how likely B is on its own, written P(B)
468469
469470#### Bayes Theorem Rule:
470471
@@ -495,12 +496,16 @@ So the formula kind of tells us "forwards" P(Fire|Smoke) when we know "backwards
495496 So the "Probability of dangerous Fire when there is Smoke" is 9%
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497498
498- # 9. Statistical Inference
499+ # 9. Probability Distribution:
499500
500- # 10. Hypothesis Testing
501501
502- # 11. Testing the Data
502+ # 10. Statistical Inference
503503
504- # 12. Data Clustering
505504
506- # 13. Regression Modelling
505+ # 11. Hypothesis Testing
506+ 507+ # 12. Testing the Data
508+ 509+ # 13. Data Clustering
510+ 511+ # 14. Regression Modelling
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