Topic 2

38問 • 1年前

Mikyii

通報

問題一覧

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

Analysis of Variance (ANOVA)

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

two, more, interval, ratio

It is extremely powerful and commonly used statistical procedure.

ANOVA

The __________ technique determines whether differences exist between population means.

ANOVA

The ANOVA technique determines whether _____________ exist between ___________ means.

differences, population

Known as F-test

Analysis of Variance

was developed by Ronald A. Fisher in 1923

Analysis of Variance

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

Analysis of Variance

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

ANOVA

The data analyzed in _________ must be interval.

ANOVA

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

ANOVA

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

ANOVA

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

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

Analysis of Variance

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

variance, differ

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

ANOVA

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

samples, independently

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

X, response

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

experimental

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

factor, factor level

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

population, population

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

null, false

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

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

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

total sum of squares

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

total sum of squares, SST

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

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

sum of squares within groups, SSW

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

means square between the groups

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

dividing, minus

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

SSB, 1

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

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

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

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

Test Statistic

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

ratio, two

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

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

do not reject, reject

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Topic 2

Topic 2 : Unemployment

Mikyii · 32問 · 1年前

Topic 2 : Unemployment

Topic 2 : Inflation

Topic 2 : Inflation

問題一覧

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

Analysis of Variance (ANOVA)

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

two, more, interval, ratio

It is extremely powerful and commonly used statistical procedure.

ANOVA

The __________ technique determines whether differences exist between population means.

ANOVA

The ANOVA technique determines whether _____________ exist between ___________ means.

differences, population

Known as F-test

Analysis of Variance

was developed by Ronald A. Fisher in 1923

Analysis of Variance

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

Analysis of Variance

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

ANOVA

The data analyzed in _________ must be interval.

ANOVA

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

ANOVA

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

ANOVA

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

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

Analysis of Variance

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

variance, differ

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

ANOVA

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

samples, independently

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

X, response

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

experimental

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

factor, factor level

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

population, population

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

null, false

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

independently, equal, homogeneous, normal

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

total sum of squares

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

total sum of squares, SST

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

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

sum of squares within groups, SSW

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

means square between the groups

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

dividing, minus

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

SSB, 1

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

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

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

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

Test Statistic

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

ratio, two

not, right

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

do not reject, reject