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18問 • 1年前
  • Sarah Taguinod
    • 通報

    問題一覧

  • 1

    is a process through which a researcher selects portion or segment from the population at the center of the researcher’s study

    sampling

  • 2

    is a group of persons or subjects that possess some common characteristics that are of interest to the researcher, and about which the researcher seeks to learn more.

    population

  • 3

    Is composed of the entire group of people or objects to which the researcher wishes to generalize the findings of the study.

    target population

  • 4

    is a portion of the population to which the researcher has reasonable access.

    Accesible Population

  • 5

    are individuals or entities which serve as the focus of the study

    Subjects

  • 6

    are individuals or groups of people who actively serve as sources of the information during data collection.

    Respondents

  • 7

    is a number describing property of a sample

    Statistic

  • 8

    is a number describing a property of a population.

    Parameter

  • 9

    A statistic can be used to estimate the parameter in what is called a

    statistical inference

  • 10

    is a type of sampling in which all the members of an entire population are given an equal chance of being selected. This is also called scientific sampling.

    probability sampling

  • 11

    is a method of choosing samples in which all the members of the population are given an equal chance of being selected.

    simple random sampling

  • 12

    the population is first divided into strata, and then sampling follows. Age, gender, and educational qualifications are some possible criteria used to divide a population and strata.

    stratified random sampling

  • 13

    is used in large-scale studies, where the population is geographically spread out. Sampling procedures may be difficult and time consuming.

    cluster sampling

  • 14

    is a method of selecting every nth element of a population, e.g, every fifth, ninth, or eleventh element until the desired sample size is reached.

    cluster sampling

  • 15

    is a process of selecting respondents in which not all members of the population are given chance of being selected as samples. This is also called non-scientific sampling.

    non probability sampling

  • 16

    is also called accidental on incidental sampling.

    convenience sampling

  • 17

    somewhat similar to stratified sampling, in that population is divided into strata, and the researcher deliberately sets specific proportions in the sample, whether or not the resulting proportion is reflective of the total population. This is commonly done to ensure the inclusion of a particular segment of the population.

    qouta sampling

  • 18

    involves handpicking subjects, usually to suit to every specific intention. This is also called judgmental sampling.

    purposive sampling

    • 21st

    21st

    Sarah Taguinod · 17問 · 2年前

    21st

    21st

    17問 • 2年前
    Sarah Taguinod

    diass haha

    diass haha

    Sarah Taguinod · 19問 · 1年前

    diass haha

    diass haha

    19問 • 1年前
    Sarah Taguinod

    R&W

    R&W

    Sarah Taguinod · 42問 · 1年前

    R&W

    R&W

    42問 • 1年前
    Sarah Taguinod

    Philosophy

    Philosophy

    Sarah Taguinod · 41問 · 1年前

    Philosophy

    Philosophy

    41問 • 1年前
    Sarah Taguinod

    cnf

    cnf

    Sarah Taguinod · 34問 · 1年前

    cnf

    cnf

    34問 • 1年前
    Sarah Taguinod

    Earth and Life Science Mock Test

    Earth and Life Science Mock Test

    Sarah Taguinod · 59問 · 1年前

    Earth and Life Science Mock Test

    Earth and Life Science Mock Test

    59問 • 1年前
    Sarah Taguinod

    Earth and Life Science Mock Test

    Earth and Life Science Mock Test

    Sarah Taguinod · 59問 · 1年前

    Earth and Life Science Mock Test

    Earth and Life Science Mock Test

    59問 • 1年前
    Sarah Taguinod

    PHILO

    PHILO

    Sarah Taguinod · 46問 · 1年前

    PHILO

    PHILO

    46問 • 1年前
    Sarah Taguinod

    cesc haha

    cesc haha

    Sarah Taguinod · 73問 · 1年前

    cesc haha

    cesc haha

    73問 • 1年前
    Sarah Taguinod

    PHILO 2ND QUARTER

    PHILO 2ND QUARTER

    Sarah Taguinod · 27問 · 1年前

    PHILO 2ND QUARTER

    PHILO 2ND QUARTER

    27問 • 1年前
    Sarah Taguinod

    philo intersubjectivity

    philo intersubjectivity

    Sarah Taguinod · 20問 · 1年前

    philo intersubjectivity

    philo intersubjectivity

    20問 • 1年前
    Sarah Taguinod

    CNF QUIZ

    CNF QUIZ

    Sarah Taguinod · 30問 · 1年前

    CNF QUIZ

    CNF QUIZ

    30問 • 1年前
    Sarah Taguinod

    mil

    mil

    Sarah Taguinod · 14問 · 1年前

    mil

    mil

    14問 • 1年前
    Sarah Taguinod

    問題一覧

  • 1

    is a process through which a researcher selects portion or segment from the population at the center of the researcher’s study

    sampling

  • 2

    is a group of persons or subjects that possess some common characteristics that are of interest to the researcher, and about which the researcher seeks to learn more.

    population

  • 3

    Is composed of the entire group of people or objects to which the researcher wishes to generalize the findings of the study.

    target population

  • 4

    is a portion of the population to which the researcher has reasonable access.

    Accesible Population

  • 5

    are individuals or entities which serve as the focus of the study

    Subjects

  • 6

    are individuals or groups of people who actively serve as sources of the information during data collection.

    Respondents

  • 7

    is a number describing property of a sample

    Statistic

  • 8

    is a number describing a property of a population.

    Parameter

  • 9

    A statistic can be used to estimate the parameter in what is called a

    statistical inference

  • 10

    is a type of sampling in which all the members of an entire population are given an equal chance of being selected. This is also called scientific sampling.

    probability sampling

  • 11

    is a method of choosing samples in which all the members of the population are given an equal chance of being selected.

    simple random sampling

  • 12

    the population is first divided into strata, and then sampling follows. Age, gender, and educational qualifications are some possible criteria used to divide a population and strata.

    stratified random sampling

  • 13

    is used in large-scale studies, where the population is geographically spread out. Sampling procedures may be difficult and time consuming.

    cluster sampling

  • 14

    is a method of selecting every nth element of a population, e.g, every fifth, ninth, or eleventh element until the desired sample size is reached.

    cluster sampling

  • 15

    is a process of selecting respondents in which not all members of the population are given chance of being selected as samples. This is also called non-scientific sampling.

    non probability sampling

  • 16

    is also called accidental on incidental sampling.

    convenience sampling

  • 17

    somewhat similar to stratified sampling, in that population is divided into strata, and the researcher deliberately sets specific proportions in the sample, whether or not the resulting proportion is reflective of the total population. This is commonly done to ensure the inclusion of a particular segment of the population.

    qouta sampling

  • 18

    involves handpicking subjects, usually to suit to every specific intention. This is also called judgmental sampling.

    purposive sampling