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Statistical Analysis with Software Application
問題数 90 • 2024/09/03
  • aen silang
    • 通報

    問題一覧

  • 1

    Science of collecting, organizing, summarizing, and analyzing information to draw conclusions or answer questions

    statistics

  • 2

    Provides procedure in data collection, presentation, organization, and interpretation to have meaningful idea

    statistics

  • 3

    Information referred to

    data

  • 4

    Factual information used as a basis for reasoning, discussion, or calculation

    data

  • 5

    Basically consist of organizing and summarizing data

    descriptive statistics

  • 6

    Describe data through numerical summaries, tables, and graphs

    descriptive statistics

  • 7

    Logical process that involves generalizing from a sample to the population from which sample was selected

    inferential statistics

  • 8

    Inferential statistics is also known as?

    statistical inference or inductive statistics

  • 9

    Consists of all the members of the group which you want to draw conclusions

    population

  • 10

    Portion or part of a population selected

    sample

  • 11

    Numerical index describing characteristic of population

    parameter

  • 12

    Numerical index describing characteristic of sample

    statistic

  • 13

    Data that come from original source and intended to answer specific research question

    primary data

  • 14

    Data taken from previously recorded data

    secondary data

  • 15

    Characteristic of object, people that does not vary

    constant

  • 16

    Characteristic of object, people that csn take different values

    variable

  • 17

    Variables that yield categorical responses

    qualitative variables

  • 18

    Words of codes that represent class or category

    qualitative variables

  • 19

    Variables that take on numerical values representing amount or quantity

    quantitative variables

  • 20

    These numerical values should answer the question how much or how many

    quantitative variables

  • 21

    Interview

    primary data

  • 22

    Business periodicals

    secondary data

  • 23

    Government reports

    secondary data

  • 24

    Temperature of water

    constant

  • 25

    Weight of person

    variable

  • 26

    Financial statements

    secondary data

  • 27

    Variable that can stand alone

    independent variable

  • 28

    Extremely reliant on other variables. Cannot stand alone

    dependent variable

  • 29

    Quantitative variable that could take on whole numbers

    discrete quantitative variable

  • 30

    Quantitative variable that could take on decimal numbers

    continuous quantitative variable

  • 31

    Categorical data where categories have no rankings or order

    nominal level

  • 32

    Categorical data where categories have rankings/order

    ordinal level

  • 33

    Numerical data that has no absolute value

    interval level variable

  • 34

    Numerical data that has an absolute value

    ratio level

  • 35

    Process of choosing individuals from a population to a sample

    sampling

  • 36

    You are using an objective chance mechanism to obtain a sample

    probability or random sampling

  • 37

    The probability of selection for a sample is known

    probability or random sampling

  • 38

    There is an equal chance of selection for your samples

    simple random sampling

  • 39

    There is a system or pattern in choosing your sample

    systematic sampling

  • 40

    You are dividing the population to non overlapping groups called strata then choosing sample from each strata

    stratified random sampling

  • 41

    You divide the population into strata then normally select a group and choose all samples within that group

    cluster sampling

  • 42

    Sampling method where no objective chance mechanism is used instead the sample is chosen by convenience

    non probability/non random sampling

  • 43

    We are choosing the samples conveniently available

    convenience sampling

  • 44

    We identify a specific criteria or qualification before an individual can be a sample

    purposive sampling

  • 45

    Non-probability counterpart of strs

    quota sampling

  • 46

    We are relying on samples to obtain more sample

    snowball sampling

  • 47

    You are asking your sample to volunteer themselves to be part of your study

    voluntary sampling

  • 48

    Eye color

    nominal level

  • 49

    Type of ballpen

    nominal level

  • 50

    Grading system

    ordinal level

  • 51

    Rating review in shopee

    ordinal level

  • 52

    Temperature

    interval level

  • 53

    Intelligence quotient or iq

    interval level

  • 54

    Exam scores

    ratio level

  • 55

    Number of siblings

    ratio level

  • 56

    Marital status

    nominal level

  • 57

    It describes the number of observations for each possible value of a variable

    frequency distribution

  • 58

    It presents the frequency and percentage for each possible value of a variable

    frequency table

  • 59

    Is the number of values in a specific class of frequency distribution or the number of occurrences of specific class in a data set

    frequency

  • 60

    Can be computed by the frequency of a class divided by the total number of values multiplied by 100

    percentage

  • 61

    Commonly referred to as an average or a single value that represents a data set

    measure of central tendency

  • 62

    Its purpose is to locate the center of a data set

    measure of central tendency

  • 63

    The most frequently used measure of central tendency

    mean

  • 64

    It is the only common measure in which all values play an equal role meaning to determine its values you would need to consider all the values of any given data set

    mean

  • 65

    What is the formula for mean

    sum of all data values/number of data values

  • 66

    Symbol used to represent the mean of a sample

    x bar

  • 67

    Symbol used to denote the mean of a population

    mu

  • 68

    Is the midpoint of the data array

    median

  • 69

    Middle most value

    midpoint

  • 70

    Data set arranged in order

    data array

  • 71

    True or false: if n is odd the median is the middle ranked value

    true

  • 72

    True or false: if n is even the median is the average of the two middle ranked value

    true

  • 73

    Is the value in a data set that appears most frequently

    mode

  • 74

    A data set only has one value that occurs

    unimodal

  • 75

    The data set has two values with the same greatest frequency both values are considered the mode

    bimodal

  • 76

    The data set have more than two modes

    multimodal

  • 77

    Cases when data set values have the same number frequency

    no mode

  • 78

    The mode is found by locating...

    the most frequently occurring value

  • 79

    Spread of data values from the average

    measure of dispersion/ variability

  • 80

    How is range computed

    difference of highest and lowest value

  • 81

    Describes the difference between data values and the mean

    standard deviation

  • 82

    Squared measure

    variance

  • 83

    Squared of SD

    variance

  • 84

    Describing the location of a value on the data array

    measures of relative position

  • 85

    Split the data set in 4 equal parts

    quartiles

  • 86

    Split the data array in 10 equal parts

    deciles

  • 87

    Split the data array in 100 equal parts

    percentiles

  • 88

    Formula for quartiles

    Qk=nk/4+0.5

  • 89

    Formula for deciles

    Dk=nk/10+0.5

  • 90

    Formula for percentiles

    Pk=nk/100+0.5

    • Strategic cost

    Strategic cost

    問題数 71•2024/02/20

    Purposive Quiz

    Purposive Quiz

    問題数 56•2024/02/22

    Purposive

    Purposive

    問題数 89•2024/03/05

    AIS

    AIS

    問題数 88•2024/03/05

    INTAC

    INTAC

    問題数 12•2024/03/10

    STS

    STS

    問題数 73•2024/03/16

    Rizal

    Rizal

    問題数 84•2024/03/16

    Rizal Finals

    Rizal Finals

    問題数 43•2024/05/08

    Purposive Chap 6

    Purposive Chap 6

    問題数 26•2024/05/09

    STS Finals

    STS Finals

    問題数 94•2024/05/11

    INTACC Finals

    INTACC Finals

    問題数 25•2024/05/13

    AIS Finals

    AIS Finals

    問題数 28•2024/05/14

    INTACC 2

    INTACC 2

    問題数 54•2024/09/06

    ASEAN LIT

    ASEAN LIT

    問題数 95•2024/09/20

    ASEAN Literature (All about the works)

    ASEAN Literature (All about the works)

    問題数 100•2024/10/04

    ASEAN Literature (All about works pt.2)

    ASEAN Literature (All about works pt.2)

    問題数 63•2024/10/04

    HRM (Chap 2)

    HRM (Chap 2)

    問題数 47•2024/10/04

    HRM (Chap 1)

    HRM (Chap 1)

    問題数 28•2024/10/05

    HRM (Chap 4)

    HRM (Chap 4)

    問題数 33•2024/10/09

    Economics

    Economics

    問題数 50•2024/10/09

    TAX301

    TAX301

    問題数 77•2024/10/12

    SBA

    SBA

    問題数 91•2024/10/16

    HRM (Chap 3)

    HRM (Chap 3)

    問題数 7•2024/11/05

    Mrs. Geni in December

    Mrs. Geni in December

    問題数 5•2024/11/09

    HRM (Chapter 5)

    HRM (Chapter 5)

    問題数 57•2024/11/09

    SBA QUIZ

    SBA QUIZ

    問題数 67•2024/12/01

    HRM (Chap 6)

    HRM (Chap 6)

    問題数 10•2024/12/08

    INTACC 2

    INTACC 2

    問題数 8•2024/12/10

    HRM (Chap 7)

    HRM (Chap 7)

    問題数 33•2024/12/12

    HRM (Quiz)

    HRM (Quiz)

    問題数 15•2024/12/12

    HRM (Chap 8)

    HRM (Chap 8)

    問題数 37•2024/12/12

    問題一覧

  • 1

    Science of collecting, organizing, summarizing, and analyzing information to draw conclusions or answer questions

    statistics

  • 2

    Provides procedure in data collection, presentation, organization, and interpretation to have meaningful idea

    statistics

  • 3

    Information referred to

    data

  • 4

    Factual information used as a basis for reasoning, discussion, or calculation

    data

  • 5

    Basically consist of organizing and summarizing data

    descriptive statistics

  • 6

    Describe data through numerical summaries, tables, and graphs

    descriptive statistics

  • 7

    Logical process that involves generalizing from a sample to the population from which sample was selected

    inferential statistics

  • 8

    Inferential statistics is also known as?

    statistical inference or inductive statistics

  • 9

    Consists of all the members of the group which you want to draw conclusions

    population

  • 10

    Portion or part of a population selected

    sample

  • 11

    Numerical index describing characteristic of population

    parameter

  • 12

    Numerical index describing characteristic of sample

    statistic

  • 13

    Data that come from original source and intended to answer specific research question

    primary data

  • 14

    Data taken from previously recorded data

    secondary data

  • 15

    Characteristic of object, people that does not vary

    constant

  • 16

    Characteristic of object, people that csn take different values

    variable

  • 17

    Variables that yield categorical responses

    qualitative variables

  • 18

    Words of codes that represent class or category

    qualitative variables

  • 19

    Variables that take on numerical values representing amount or quantity

    quantitative variables

  • 20

    These numerical values should answer the question how much or how many

    quantitative variables

  • 21

    Interview

    primary data

  • 22

    Business periodicals

    secondary data

  • 23

    Government reports

    secondary data

  • 24

    Temperature of water

    constant

  • 25

    Weight of person

    variable

  • 26

    Financial statements

    secondary data

  • 27

    Variable that can stand alone

    independent variable

  • 28

    Extremely reliant on other variables. Cannot stand alone

    dependent variable

  • 29

    Quantitative variable that could take on whole numbers

    discrete quantitative variable

  • 30

    Quantitative variable that could take on decimal numbers

    continuous quantitative variable

  • 31

    Categorical data where categories have no rankings or order

    nominal level

  • 32

    Categorical data where categories have rankings/order

    ordinal level

  • 33

    Numerical data that has no absolute value

    interval level variable

  • 34

    Numerical data that has an absolute value

    ratio level

  • 35

    Process of choosing individuals from a population to a sample

    sampling

  • 36

    You are using an objective chance mechanism to obtain a sample

    probability or random sampling

  • 37

    The probability of selection for a sample is known

    probability or random sampling

  • 38

    There is an equal chance of selection for your samples

    simple random sampling

  • 39

    There is a system or pattern in choosing your sample

    systematic sampling

  • 40

    You are dividing the population to non overlapping groups called strata then choosing sample from each strata

    stratified random sampling

  • 41

    You divide the population into strata then normally select a group and choose all samples within that group

    cluster sampling

  • 42

    Sampling method where no objective chance mechanism is used instead the sample is chosen by convenience

    non probability/non random sampling

  • 43

    We are choosing the samples conveniently available

    convenience sampling

  • 44

    We identify a specific criteria or qualification before an individual can be a sample

    purposive sampling

  • 45

    Non-probability counterpart of strs

    quota sampling

  • 46

    We are relying on samples to obtain more sample

    snowball sampling

  • 47

    You are asking your sample to volunteer themselves to be part of your study

    voluntary sampling

  • 48

    Eye color

    nominal level

  • 49

    Type of ballpen

    nominal level

  • 50

    Grading system

    ordinal level

  • 51

    Rating review in shopee

    ordinal level

  • 52

    Temperature

    interval level

  • 53

    Intelligence quotient or iq

    interval level

  • 54

    Exam scores

    ratio level

  • 55

    Number of siblings

    ratio level

  • 56

    Marital status

    nominal level

  • 57

    It describes the number of observations for each possible value of a variable

    frequency distribution

  • 58

    It presents the frequency and percentage for each possible value of a variable

    frequency table

  • 59

    Is the number of values in a specific class of frequency distribution or the number of occurrences of specific class in a data set

    frequency

  • 60

    Can be computed by the frequency of a class divided by the total number of values multiplied by 100

    percentage

  • 61

    Commonly referred to as an average or a single value that represents a data set

    measure of central tendency

  • 62

    Its purpose is to locate the center of a data set

    measure of central tendency

  • 63

    The most frequently used measure of central tendency

    mean

  • 64

    It is the only common measure in which all values play an equal role meaning to determine its values you would need to consider all the values of any given data set

    mean

  • 65

    What is the formula for mean

    sum of all data values/number of data values

  • 66

    Symbol used to represent the mean of a sample

    x bar

  • 67

    Symbol used to denote the mean of a population

    mu

  • 68

    Is the midpoint of the data array

    median

  • 69

    Middle most value

    midpoint

  • 70

    Data set arranged in order

    data array

  • 71

    True or false: if n is odd the median is the middle ranked value

    true

  • 72

    True or false: if n is even the median is the average of the two middle ranked value

    true

  • 73

    Is the value in a data set that appears most frequently

    mode

  • 74

    A data set only has one value that occurs

    unimodal

  • 75

    The data set has two values with the same greatest frequency both values are considered the mode

    bimodal

  • 76

    The data set have more than two modes

    multimodal

  • 77

    Cases when data set values have the same number frequency

    no mode

  • 78

    The mode is found by locating...

    the most frequently occurring value

  • 79

    Spread of data values from the average

    measure of dispersion/ variability

  • 80

    How is range computed

    difference of highest and lowest value

  • 81

    Describes the difference between data values and the mean

    standard deviation

  • 82

    Squared measure

    variance

  • 83

    Squared of SD

    variance

  • 84

    Describing the location of a value on the data array

    measures of relative position

  • 85

    Split the data set in 4 equal parts

    quartiles

  • 86

    Split the data array in 10 equal parts

    deciles

  • 87

    Split the data array in 100 equal parts

    percentiles

  • 88

    Formula for quartiles

    Qk=nk/4+0.5

  • 89

    Formula for deciles

    Dk=nk/10+0.5

  • 90

    Formula for percentiles

    Pk=nk/100+0.5