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Topic 2
  • Mikyii

  • 問題数 38 • 4/24/2024

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    問題一覧

  • 1

    The __________ technique determines whether differences exist between population means.

    ANOVA

  • 2

    The statistic that measures the total variations of all the data is called the ______________.

    total sum of squares

  • 3

    was developed by Ronald A. Fisher in 1923

    Analysis of Variance

  • 4

    The ANOVA technique determines whether _____________ exist between ___________ means.

    differences, population

  • 5

    The mean square within groups (or mean square for error) is determined by _________ SSW by the total number of sample size (labeled n) _______ the number of groups..

    dividing, minus

  • 6

    Statistical technique specially designed to test whether the means of more than 2 quantitative populations are equal.

    ANOVA

  • 7

    Assumptions of One-Way Analysis of Variance 1. The samples are randomly selected and _____________ assigned to groups. 2. Populations should have approximately _______ standard deviation (______________). 3. Population distributions are _________.

    independently, equal, homogeneous, normal

  • 8

    The technique analyzes the _________ of the data to determine whether we can infer that the population means _______..

    variance, differ

  • 9

    The __________________ (or within-treatment variations/error) measure the variation within sample, denoted by _____..

    sum of squares within groups, SSW

  • 10

    The criterion by which we classify the population is called a _______ and each population is called ___________.

    factor, factor level

  • 11

    The mean square between groups (or mean square for treatment) is computed by dividing ____ by the number of groups minus ___.

    SSB, 1

  • 12

    The procedure can be applied when the samples are independently drawn.

    ANOVA

  • 13

    The unit that we intend to measure is called an ______________ unit.

    experimental

  • 14

    The statistic that measures the variation attributed to the differences between the treatment means is called _________________ (or between-treatment variations), denoted by _____.

    sum of squares between groups, SSB

  • 15

    The mean square between groups (or mean square for treatment) is computed by ________ SSB by the number of groups _______ 1.

    dividing, minus

  • 16

    _________ techniques have been developed for the analysis of data in very complex statistical designs.

    ANOVA

  • 17

    The ____________ is a statistical procedure that test to determine whether differences exist between two or more population means.

    Analysis of Variance

  • 18

    The analysis of variance tests whether there is enough statistical evidence to show that the _______ hypothesis is ______.

    null, false

  • 19

    The _______________ is based on the portioning of the sum of squares, denoted by ______.

    total sum of squares, SST

  • 20

    One of the most widely used and highly developed statistical method in modern research.

    Analysis of Variance

  • 21

    The ______________ (or mean square for error) is determined by dividing SSW by the total number of sample size (labeled n) minus the number of groups..

    mean square within groups

  • 22

    The mean square within groups (or mean square for error) is determined by dividing _______ by the total number of _______size (labeled n) minus the number of groups..

    SSW, sample

  • 23

    A simultaneous test taking the samples all at a single time.

    ANOVA

  • 24

    The _________ is defined as the ratio of the two mean squares.

    Test Statistic

  • 25

    The ANOVA procedure can be applied when the _________ are _____________ drawn.

    samples, independently

  • 26

    The variable __ is called the _________ variable, and its value refers to responses.

    X, response

  • 27

    If Fcomputed < Fcritical , ___________H0. If Fcomputed > Fcritical , ___________ H0.

    do not reject, reject

  • 28

    Analysis of Variance (ANOVA) allows researchers to compare ____ or ____ populations of _______ or ______ data.

    two, more, interval, ratio

  • 29

    The criterion by which we classify the _________ is called a factor and each ___________ is called factor level.

    population, population

  • 30

    The degrees of freedom from this F test are 𝑑𝑓𝑏𝑔 = 𝑐 − 1 and 𝑑𝑓𝑤𝑔= n-c. The sample sizes need _____ be equal in all groups. The F test to compare means is always _______-tailed.The results of the analysis of variance are usually reported in an analysis of variance table,

    not, right

  • 31

    What is Analysis of Variance?  Known as __________  was developed by _____________ in ______  one of the most widely used and highly developed statistical method in __________ research  ANOVA techniques have been developed for the analysis of data in very __________ statistical designs.  The data analyzed in ANOVA must be __________  A simultaneous test taking the samples ____ at a _______ time.  Statistical technique specially designed to test whether the means of more than ___, _____________populations are _______.

    F-test, Ronald A. Fisher, 1923, modern, complex, interval, all, single, 2, quantitative, equal

  • 32

    It is extremely powerful and commonly used statistical procedure.

    ANOVA

  • 33

    The data analyzed in _________ must be interval.

    ANOVA

  • 34

    The _______________ (or mean square for treatment) is computed by dividing SSB by the number of groups minus 1.

    means square between the groups

  • 35

    The test statistic is defined as the ______ of the _____ mean squares.

    ratio, two

  • 36

    ______________ allows researchers to compare two or more populations of interval or ratio data.

    Analysis of Variance (ANOVA)

  • 37

    Known as F-test

    Analysis of Variance

  • 38

    If the _____ hypothesis is ____ the population means would be ______or we would expect that the sample means are close to one another.

    null, true, equal