Deals with the collection, organization, presentation, analysis and interpretation of data/information
Two major areas of Statistics
Descriptive
Inferential
Descriptive Statistics
The collection, presentation and description of sample data
Inferential Statistics
Making decisions and drawing conclusions about population
Data
The information we gather about the sample of population
Two Major Parts of Data
Qualitative Data
Quantitative Data
Qualitative Data
Attributes or characteristics of the samples
Quantitative Data
Numerical information gathered about the samples
Two types of Quantitative Data
Discrete Data
Continuous Data
Discrete Data
Values obtained through the process of counting, can only have specific values
Continuous Data
Values obtained through the process of measuring or weighing, can take on any value in an interval
Statistical Question
A question that can be answered by collecting numerical data that vary
Types of Data
Numerical Data
Categorical Data
Numerical Data
Data in numerical form, either continuous or discrete
Categorical Data
Non-numerical values, such as colors, information, or questions that answer with yes/no, labels etc.
Statistical Instruments
Observation
Interviews
Focus Group Discussion
Open-ended Question
Survey
Observation
Determining changes in attitude, characteristics, behavior of people and other subjects
Interviews
Personally asking questions to people who have authority or expertise to say something about the data needed
Focus Group Discussion
To know the thinking, feeling or opinion about a certain phenomenon, idea etc.
Open-ended Question
Questions that allow someone to give a free form answer
Survey
Data collection method usually covered by the government and other survey organizations
Levels of Measurement
Nominal Variable
Ordinal Variable
Interval
Ratio
Nominal Variable
Qualitative variable that categorizes, describes or names
Ordinal Variable
Qualitative data that incorporates an ordered position or ranking, but difference between data values cannot be determined or are meaningless
Interval
Quantitative measurement scale where there is order, the difference between the two data values is meaningful and equal, has no inherent zero starting point
Ratio
Contains all the features of the other levels, values can be categorized, ordered, have equal intervals and take on an inherent zero starting point (where zero indicates that none of the quantity is present)
Data Collection Methods
Survey
Observation of Outcome of Events
Experiment
Publications
Survey
Direct method of gathering data through interviews or indirect method through questionnaires
Observation of Outcome of Events
Using different human senses to gather information
Experiment
Conducted in laboratories where specimens are subjected to some aspects of control to find out cause and effect relationships
Publications
Gathering secondary data from sources like newspapers, journals, books, encyclopedia, magazines
Cumulative Frequency Distribution
Represents the sum of a class and all classes below it
Less than Cumulative Frequency
Obtained by adding frequency starting from the lowest class interval up to the highest class interval
Greater than Cumulative Frequency
Obtained by starting from the opposite direction
Range
Computed by subtracting the lowest score from the highest score of a given data or thesis of other researchers
Frequency Distribution Table
Used to summarize or organize data through tables
Frequency
The number of times a certain number occurs
Graphical Representation
Presenting data as graphs makes them easily interpreted and compared, making the data more interesting to the readers
Line Graph
Used to represent changes in data over a period of time, such as changes in temperature, income, population, represented by points joined by line segments that may be curved, broken or straight