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34問 • 1年前

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Science of collecting, organizing, summarizing and analyzing information to draw condusions or answers question -It provides procedure in data collection, presentation, organization and interpretation to have a meaning ful idea.

STATISTICS

According to Meriam Webster, it is factual information (such as measurements or statistics) used as a basis for reasoning, discussion or calculation.

DATA

basically consists of organizing and summarizing data. - describes data through numerical summaries, tables and graphs.

DESCRIPTIVE STATISTICS

logical process that involves generalizing from a sample to the population from which the sample was selected and assessing the reliability of such generalizations. Comparison/ Venn diagram

INFERENTIAL STATISTICS

consists of ALL the members of the group about which you want to draw a condusion

POPULATION

numerical index describing a charactenstic of a population

PARAMETER

Come from a onginal source and are intended to answer a specific research question. can be taken by interview, mait in questionnaire, survey or experimentation

PRIMARY

data taken from prenoudy recorded data internet can also be taken electronically for instance via websites.

SECONDARY

characteristic of objects, people or events that does not vary.

CONSTANT

characteristic of objects, people or events that take different values.

VARIABLE

Vield categorical responses •words or codes that represent dass or category Ex: SR-CODE. Sss no.

QUALITATIVE/CATEGORICAL VARIABLE

take on numerical values representing on amount or quantity. how much or how many

QUANTITATIVE/NUMERICAL VARIABLE

Independent and dependent variable

EXPERIMENTAL

Variable can stand alone

INDEPENDENT VARIABLES

Variable that extremely rely on another things

DEPENDENT VARIABLES

whole no values

DISCRETE

decimal no.

CONTINUOUS

categorical data where categories have no rankingforder

NOMINAL LEVEL/QUALITATIVE

categorical data where categories have ranking or order Ex:highest educational attainment

ORDINAL LEVEL/QUALITATIVE

numerical data that has no absolute zero Example: temperature

INTERVAL LEVEL/QUANTITATIVE

highest (numerical data thas has an absolute 0. Ex: net weight of grains cereals

RATION LEVEL/QUANTITATIVE

process of choosing/selecting individuals from population to sample.

SAMPLING

using an objective chance of mechanism to choose sample the probability of selection for a sample is KNOWN

PROBABILITY/RANDOM SAMPLING

there is an equal chance of selection for the samples ex: use of lottery or via random names fishball method wheel of names

SIMPLE RANDOM SAMPLING

•System or pattem on choosing samples

SYSTEMATIC SAMPLING

dividing the population to non overlapping groups called strata choosing sample from each strata.

STRATIFIED RANDOM SAMPLING

dividing population into non-overlapping groups then randomly select a group and choose all samples within that group.

CLUSTER SAMPLING

dividing population into non-overlapping groups then randomly select a group and choose all samples within that group.

CLUSTER SAMPLING

sampling method where no objective chance mechanism is used. We choose sample by convenience or hazardly or taking volunteers. probability of selection is UNKNOWN.

NON-RANDOM SAMPLING/NON-PROBABILITY

Sampling-choosing sample that are Conveniently available to you.

CONVENIENCE SAMPLING

identifying a specific anteria or qualification before an individual can be a sample

PURPOSIVE SAMPLING

Sampling-non probability counterpart of STRS

CUOTA SAMPLING

relying on samples to obtain more samples.

SNOWBALL SAMPLING

asking samples to volunteer to be part of the study.

VOLUNTEER SAMPLING

governance

Jan Rick Trinidad · 40問 · 2年前

governance