This Lecture is an introduction to the Course: #Computer-Oriented-Statistical-Methods

Statistics is the branch of mathetics that deals with the collection, organization, analysis, interpretation, and presentation of data.

#Statistics deals with every aspect of data, including the planning of data collection in terms of the design of #surveys and experiments Statistical methods are

1. Mathematical formulas,

2. models and

3. techniques that are used in statistical analysis of raw research data.

The application of statistical methods extracts information from research data and provides different ways to assess the robustness of research outputs.

1. #Methods

2. #Mean

3. #Standard Deviation

4. #Probability

5. #Expectation

6. #Regression

7. #Correlation

8. #Hypothesis Testing and more…

Computer Oriented Statistical Methods

We use the Computer Software and Programming language to perform the Statistical method on data.

Benefits of Computer in Statistics Computer help in data #collection, #organization, #analysis, i#nterpretation and #presentation.

Computers are very efficient and fast.

Computer help in making the data more informative.

It is easy to share the information Data correction is very easy

UNIT-I

Frequency distribution, Histogram, Frequency Polygram, Arithmetic

Mean, median, mode, Geometric Mean, Harmonic Mean, Dispersion,

Measures of Dispersion, Coefficients of Dispersion.

UNIT-II

Probability, Addition, and multiplication Theorems of Probability,

Conditional Probability, Independent events Pointwise independent

events.

UNIT-III

Mathematical expectation, the Expected value of the function of a random

variable, Properties of expectation, Properties of variance, and Covariance.

UNIT-IV

Correlation, Karl Pearson’s Coefficient of correlation calculation of the

correlation, the coefficient for a bivariate frequency distribution, rank

correlation