A term which has several meanings, can be singular or plural depending on usage
Statistics
Branch of Science which deals with the collection, presentation, analysis and interpretation of results
Collection of Data
Data gathering using one or combination of following methods: interview, questionnaire, registration or observation
Presentation of Data
Organization of data into tables, graphs or charts so that the reader will be able to get the clear picture of the various relationships
Analysis of the Data
Process of extracting relevant information from the given data
Interpretation of Data
Drawing conclusions from the analyzed data
Descriptive statistics
Only concerned with summarizing values to characterize data gathered from a sample or population
Employs graphs, tables, measures of central tendency, and position and variability
Does not attempt to draw conclusions about anything that pertains to more than the data themselves
Inferential statistics
Concerned with making generalizations from information gathered from a small group of observations or from a sample to a bigger group of observations or to a population
Population
The totality of elements under consideration in statistical investigation
Parameter
The specific characteristic of the population is described using the summary measure
Sample
A subset of population
Statistic
The specific characteristics of sample is described using summary measure
Census
Process which refers to when information or data are gathered from all units of the population
Sample Survey
Process when a part of the population is used to obtain data
Variable
A characteristic, description, or attribute of persons or objects which assumes different values or labels
Classification of Variables
Qualitative
Quantitative
Qualitative
Yields categorical responses. Answers, " What kind"
Quantitative
Yields numerical responses representing an amount or quantity. Answers, " How much" or " How many"
Classification of Quantitative Variables
Discrete
Continuous
Discrete
Pertains to the principle of counting (no. of students, no. of patients)
Continuous
Assumes values which are associated with points on an interval of the number line
Also pertains to the process of measurement with corresponding units (height, weight, temperature, etc.)
Levels of Measurement
Nominal Level
Ordinal Level
Interval Level
Ratio/Scale Level
Nominal Level
This is characterized by data that consists of names, labels or categories only
Ordinal Level
This involves data that arranged in some order, but differences between data
Interval Level
This is the same in ordinal level, with an additional property that we can determine meaningful amounts of differences between the data
Ratio/Scale Level
This is the highest level of measurement. All the properties of the interval scale are applicable in the ratio scale plus the presence of the "true zero point" which reflects the absence of the characteristics measured
Nominal Level
types of cars, gender of respondents
Ordinal Level
degree of effectiveness, satisfactory evaluation
Interval Level
IQ score, temperature (Fahrenheit, Celsius)
Ratio/Scale Level
age, income, examination scores
Measure of Central Tendency
A value that describes a set of data by identifying the central position within that set of data
Three Measures of Central Tendency
Mean
Median
Mode
Mean
The most common measure of central tendency. It is simply the sum of all score divided by the number of scores
Weighted Mean
A variation of mean that assigns weights to the individual scores before getting the average
Median
The middle value in the distribution after arranging the data either in ascending or descending order