studies involving collection, organization, presentation, analysis, interpretation, and drawing conclusions from the data

Collection, organization, presentation and analysis of daya

Higher degree of analysis, interpretation and inferences

Characteristic of a population or sample which makes on different from the other

Large collection of objects, persons, or things

Part of population that has the same characteristics of the guven population

Data that can be placed into categories according to their characteristics or attributes

Data which are numerical in nature

Values that can be counted and their values are represented by counting numbers only

All values between any two specific values or intervals. Values are obtained through measurement

Influenced by another variable

Isn’t influenced by other variables

Value or measure obtained from a population

Any value or measurement obtained from a sample

Distinguishes one object from another object for identifying purposes only

Classifies data into some specified order or rank

Specifies the precise difference between or among the values of ranks

Has the same characteristics as interval level; difference is that the ratio level always starts from zero

Researcher gathers data by asking the interviewee series of questions

Researcher distributes the wuestionnaires either personally or by mail and collects them the same process

This method of collecting data us governed by our existing laws

Used to find out the cause and effect relationship of certain phenomene under controlled conditions

Researcher may observe subjects individually or group of individuals to obtain data and information related to the objectives of the investigation

Researcher may ask or invite individuals to send text opinions in certain issues or send in their choices on their brand preferences on a particular product using cellphone

Also know as raffle. Esch member if the population is numbered on a piece of paper

Used to draw the numbers for the sample

Done by numbering each element of the population

Obtain samples by dividing the population into strata (groups)

Sometimes called area sampling because it is used for large population

Use combinations of several random sampling techniques in getting the sample from a very large population

Used because it is convenient to the researcher

Researcher uses the proportions of different strata; and from the strata, selections are fone using quota

Researcher gets his sample from the respondents purposely close or related to him