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BASIC STATISTIC
  • Marjorie Grana

  • 問題数 55 • 9/17/2023

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  • 1

    As a branch of mathematics that examines and investigates ways to process and analyse the data gathered. Provides procedure in data collection, presentation, organization and interpretation to have a meaningful idea that a meaningful idea that is useful to decision makers.

    STATISTICS

  • 2

    is an important branch of statistics and it continues to be widely used, statical information usually arise from samples, and this means that is analysis for require generizations which go beyond the data Is the totality of methods and treatments employed in the correction descriptions and analysis of numerical data.

    DESCRIPTIVE STATISTICS

  • 3

    is the logical process from sample analysis to a generalization or conclusion about a population.It is also called statical inference or inductive statistics.

    INFERENTIAL STATISTICS

  • 4

    Consists of all the members of the group about which we want to draw a conclusion.

    POPULATION

  • 5

    is a portion or part of the population of interest selected for analysis.

    SAMPLE

  • 6

    is the numerical index describing a characteristic of a population.

    PARAMETER

  • 7

    is a numerical index describing a characteristic of a sample

    STATISTIC

  • 8

    are data that come from an original source, and are intended to answer specific research questions, can be taken by interview, mail in questionnaire, survey, or experimentation.

    PRIMARY DATA

  • 9

    are data that are taken from previously recorded data, such as information in research conducted, industry financial statements, business periodicals ,and government reports.

    SECONDARY DATA

  • 10

    SOURCE OF DATA

    PRIMARY DATA, SECONDARY DATA

  • 11

    is a characteristics of objects, people or even events that does not vary

    CONSTANT

  • 12

    is a characteristics of objects people or events that can take on different values. it can vary in quantity

    VARIABLE

  • 13

    a variable that is conceptualized and analyzed as distinct categories, with no continuum implied.

    QUALITATIVE VARIABLE

  • 14

    a variable that is conceptualized and analysed along a continuum implied.

    QUANTITATIVE VARIABLE

  • 15

    TYPES OF DATA

    QUALITATIVE VARIABLE, QUANTITATIVE VARIABLE

  • 16

    CLASSIFICATION OF VARIABLES

    EXPERIMENTAL CLASSIFICATION, MATHEMATICAL CLASSIFICATION

  • 17

    A researcher may classify variables according to the function they served in the experiment

    EXPERIMENTAL CLASSIFICATION

  • 18

    EXPERIMENTAL CLASSIFICATION

    INDEPENDENT VARIABLES, DEPENDENT VARIABLES

  • 19

    are variables controlled by the experiment/researcher, and expected to have an effect on the behaviour of the subjects. The independent variable is also called explanatory variable.

    INDEPENDENT VARIABLES

  • 20

    is some measure of the behavior of subjects and expected to be influenced by the independent variable. The dependent variable is also called outcome variable.

    DEPENDENT VARIABLE

  • 21

    MATHEMATICAL CLASSIFICATION

    CONTINUOUS VARIABLE, DISCRETE VARIABLE

  • 22

    variables may be also classified in terms of mathematical values they may take on within a given interval.

    MATHEMATICAL CLASSIFICATION

  • 23

    is a variable which can assume any an infinite number of values, and can be associated with points on a continuous line interval.

    CONTINUOUS VARIABLE

  • 24

    is a variable which consist of either a finite number of values or countable number of values.

    DISCRETE VARIABLE

  • 25

    It is the weakest form of measurement because no attempt can be made to account for difference within the particular category or to specify any ordering or direction across the various categories. Nominal data is a discrete variables

    NOMINAL LEVEL OF MEASUREMENT

  • 26

    is a property of a set of categories such that an individual or object is included in only one category.

    MUTUALLY EXCLUSIVE

  • 27

    is a property of a set of categories such that each individual or object must appear in a category

    COLLECTIVELY EXHAUSTIVE

  • 28

    NOMINAL LEVEL OF MEASUREMENT

    MUTUALLY EXCLUSIVE, COLLECTIVELY EXHAUSTIVE

  • 29

    is used in ranking. Ordinal scaling is still a weak form of measurement because no meaningful numerical statements can be made about differences between the categories.

    ORDINAL LEVEL OF MEASUREMENT

  • 30

    is used to classify order and differentiate between classes or categories in terms of degrees of differences. Interval data are either discrete or continuous variable.

    INTERVAL LEVEL OF MEASUREMENT

  • 31

    differs from interval measurement only in one aspect; it has a true zero point (complete absence of the attitude being measured).

    RATIO LEVEL OF MEASUREMENT

  • 32

    is a group in a research study on which the results of the study are intended to apply.

    SAMPLE

  • 33

    refers to the process of selecting these individuals

    SAMPLING

  • 34

    is a process whose members had an equal chance of being selected from the population; it is also called probability sampling.

    RANDOM SAMPLING

  • 35

    RANDOM SAMPLING

    SIMPLE RANDOM SAMPLING, SYSTEMATIC SAMPLING, STRATIFIED SAMPLING, CLUSTER SAMPLING

  • 36

    NON-RANDOM SAMPLING

    CONVENIENCE SAMPLING, PURPOSIVE SAMPLING, QUOTA SAMPLING, SNOWBALL SAMPLING

  • 37

    is a process of selecting a sample size in the population via random numbers or through lottery.

    SIMPLE RANDOM SAMPLING

  • 38

    is a process of selecting a K'th element in the population until the desired number of subjects or respondents are attained.

    SYSTEMATIC SAMPLING

  • 39

    is a process of subdividing the population into subgroups or strata and drawing members at random from each subgroup or stratum

    STRATIFIED SAMPLING

  • 40

    is a process of selecting clusters from a population which is very large or widely spread out over a wide geographical area.

    CLUSTER SAMPLING

  • 41

    is a sampling procedure where a samples selected in a deliberate manner with little or no attention to randomization; it is also called the non- probability sampling.

    NON-RANDOM SAMPLING

  • 42

    is a process of selecting based from judgment to select a sample which the researcher believed, based on prior information, will provide the data they need.... it is also called judgement sampling

    PURPOSIVE SAMPLING

  • 43

    is applied when investigators survey collects information from an assigned number, or quota of individual from one of several sample units fulfilling certain prescribed criteria are belonging to one stratum.

    QUOTA SAMPLING

  • 44

    is a process of selecting a group of individuals who (conveniently) are available for study.

    CONVENIENCE SAMPLING

  • 45

    is a technique in which one or more members of a population are located and used to lead the researchers to other members of the population.

    SNOWBALL SAMPLING

  • 46

    METHODS OF COLLECTING DATA

    DIRECT OR INTERVIEW METHOD, INDIRECT OR QUESTIONNAIRE METHOD, REGISTRATION METHOD, OBSERVATION METHOD, EXPERIMENT METHOD

  • 47

    METHOD OF PRESENTING DATA

    TEXTUAL METHOD, TABULAR METHOD, GRAPHICAL METHOD

  • 48

    it is a face-to-face encounter between the interviewer and interviewee.

    DIRECT OR INTERVIEW METHOD

  • 49

    unlike direct method, this method utilized questionnaire to obtain information.

    INDIRECT OR QUESTIONNAIRE METHOD

  • 50

    this method of gathering information is governed by law

    REGISTRATION METHOD

  • 51

    this method is used to data that are pertaining to behaviors of an individual or a group of individuals at the time of occurrence of a given situation are the best obtained by observation.

    OBSERVATION METHOD

  • 52

    this is used to determine the cause and effect relationship of certain phenomena under controlled conditions.

    EXPERIMENT METHOD

  • 53

    this method represents the collected data in narrative and paragraphs forms.

    TEXTUAL METHOD

  • 54

    this method presents the collected data in table which are orderly arranged in rows and columns for an easier and more comprehensive comparison of figures.

    TABULAR METHOD

  • 55

    this method presents the collected data in visual or pictorial form to get a clear view of data (e.g histogram, pie chart, pie chart. pareto chart, pictograph etc .)

    GRAPHICAL METHOD