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4µ.STAT


Statistics is the science of collecting, organizing, presenting, summarizing and analysing raw data in order to obtain useful information for decision making.This application was created to make it easier to access or find any statistics formulae.
With Mobile Formulae, it could be accessed at anytime and anywhere. It also to attract users’ interest in Statistics and one of the teaching and learning methods in line with the latest technologies.

CHAPTER 1 – INTRODUCTION TO STATISTICS

Definition:
Statistics is the science of collecting, organizing, presenting, summarizing and analysing raw data in order to obtain useful information for decision making.

Quantitative Variable:
Variable studied which can be measured or counted.

Qualitative Variable:
Non-numeric variable / numerical measurement is not possible.
.

CHAPTER 2 – DATA PRESENTATION

Range is the difference between the highest and lowest score (Range= ymin-ymax)

Sturge’s rule also can be used to determine the number of classes in a histogram or frequency distribution table.

 Determine the class size (class interval). Generally the class size should be the same for all classes.

CHAPTER 3 – MEASURE OF CENTRAL TENDENCY

* THE FORMULAE FOR
    - MEAN ,
    - MODE
    - MEDIAN

CHAPTER 4 – MEASURE OF DISPERSION

*THE FORMULAE FOR
    - RANGE, r
   -  MEAN DEVIATION,
   - VARIANCE, AND 
   - STANDARD DEVIATION, 
      (FOR UNGROUPED DATA)

*THE FORMULAE FOR 
    - VARIANCE, AND
   -  STANDARD DEVIATION, 
      (FOR GROUPED DATA)

CHAPTER 5- CORRELATION & REGRESSION

*THE FORMULAE FOR
KARL PEARSON’S COEFFICIENT OF CORRELATION

*THE FORMULAE FOR
SPEARMAN’ S RANK COEFFICIENT OF CORRELATION

*THE FORMULAE FOR 
THE LEAST SQUARE REGRESSION LINE

CHAPTER 6- HYPOTHESIS TESTING 


*THE FORMULAE FOR 
Z- Score / Standard Normal Distribution (sample):

CHAPTER 7- ELEMENTARY OF PROBABILITY CONCEPTS

 Pr(Event) = Number of successful outcomes/ Total number of possible outcomes

INDEPENDENT EVENT

Multiplication Rule:
P( A n B) = P (A) x P (B)

Non-Mutually Exclusive Events:
P (A u B) = P (A) + P (B) - P( A n B)

Mutually Exclusive Events:
P (A u B) = P(A) + P(B)

DEPENDENT EVENT (NON-INDEPENDENT EVENT)

P(A n B) = P(A) x P(B/A)
or
P(A n B) = P(B) x P(A/B)