問題一覧
1
categorical data where categories have ranking or order Ex:highest educational attainment
ORDINAL LEVEL/QUALITATIVE
2
Sampling-choosing sample that are Conveniently available to you.
CONVENIENCE SAMPLING
3
Variable can stand alone
INDEPENDENT VARIABLES
4
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
5
•System or pattem on choosing samples
SYSTEMATIC SAMPLING
6
using an objective chance of mechanism to choose sample the probability of selection for a sample is KNOWN
PROBABILITY/RANDOM SAMPLING
7
Vield categorical responses •words or codes that represent dass or category Ex: SR-CODE. Sss no.
QUALITATIVE/CATEGORICAL VARIABLE
8
dividing population into non-overlapping groups then randomly select a group and choose all samples within that group.
CLUSTER SAMPLING
9
numerical index describing a charactenstic of a population
PARAMETER
10
basically consists of organizing and summarizing data. - describes data through numerical summaries, tables and graphs.
DESCRIPTIVE STATISTICS
11
take on numerical values representing on amount or quantity. how much or how many
QUANTITATIVE/NUMERICAL VARIABLE
12
Independent and dependent variable
EXPERIMENTAL
13
dividing the population to non overlapping groups called strata choosing sample from each strata.
STRATIFIED RANDOM SAMPLING
14
process of choosing/selecting individuals from population to sample.
SAMPLING
15
dividing population into non-overlapping groups then randomly select a group and choose all samples within that group.
CLUSTER SAMPLING
16
data taken from prenoudy recorded data internet can also be taken electronically for instance via websites.
SECONDARY
17
characteristic of objects, people or events that take different values.
VARIABLE
18
consists of ALL the members of the group about which you want to draw a condusion
POPULATION
19
Sampling-non probability counterpart of STRS
CUOTA SAMPLING
20
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
21
decimal no.
CONTINUOUS
22
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
23
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
24
According to Meriam Webster, it is factual information (such as measurements or statistics) used as a basis for reasoning, discussion or calculation.
DATA
25
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
26
highest (numerical data thas has an absolute 0. Ex: net weight of grains cereals
RATION LEVEL/QUANTITATIVE
27
asking samples to volunteer to be part of the study.
VOLUNTEER SAMPLING
28
whole no values
DISCRETE
29
characteristic of objects, people or events that does not vary.
CONSTANT
30
relying on samples to obtain more samples.
SNOWBALL SAMPLING
31
categorical data where categories have no rankingforder
NOMINAL LEVEL/QUALITATIVE
32
Variable that extremely rely on another things
DEPENDENT VARIABLES
33
numerical data that has no absolute zero Example: temperature
INTERVAL LEVEL/QUANTITATIVE
34
identifying a specific anteria or qualification before an individual can be a sample
PURPOSIVE SAMPLING