It is the branch of science and mathematics that deals with the collection, organization, or presentation, interpretation, and analysis of data.
Statistics
Engineering
Innovation
Why study statistics?
Data are everywhere
Statistical techniques are used to make many decisions that affect our lives
No matter what your career, you will make professional decisions that involve data. An understanding of statistical methods will help you make these decisions effectively
All of the choices
Branches / Areas of Statistics:
Inferential
Descriptive
Differential
It is a statistical procedure concerned with describing characteristics and properties of a group of persons, places, or things.
Inferential Statistics
Descriptive Statistics
Probability and Statistics
It is a statistical procedure that is used to draw inferences or information about the properties or characteristics by a large group of people, places or things on the basis of the information obtained from a small portion of a large group.
The collection of all individuals, items, or data under consideration in a statistical study.
Population
Sample
Data
That part of the population from which information is collected.
These are facts, or a set of information or observation under study
In statistics, it is the characteristic, property or attribute that makes members of a group vary.
Variables
Classification of Variables:
Quantitative
Qualitative
Infinite
Finite
In statistics, it is the characteristic, property or attribute that makes members of a group uniform.
Constant
Categories of Data:
Quantitative data
Qualitative Data
These category of data are data when the information have been sorted into categories.
These category of data are data which are numerical in nature.
A Quantitative data wherein its data are obtained from counting.
Discrete quantitative data
Continuous quantitative data
Discrete qualitative data
A quantitative data wherein its data are obtained from measuring.
A type of variable classification based on how the variables are categorized, counted, or measured.
Scales of Measurement
A scale of measurement that applies to data that consist of names, labels, or categories only and data cannot be arranged in an ordering or scheme (such as low to high)
Nominal
Ordinal
Interval
Ratio
A scale of measurement that ranks the data from smallest to largest or different ranks of classes but the differences between data values either cannot be determined or are meaningless
A scale of measurement wherein the data can be ordered or difference can be taken.
A scale of measurement wherein the data can be ordered. Differences can be taken. At this level, it makes sense to compare the differences between data values.
