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

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

It is extremely powerful and commonly used statistical procedure.

The __________ technique determines whether differences exist between population means.

The ANOVA technique determines whether _____________ exist between ___________ means.

Known as F-test

was developed by Ronald A. Fisher in 1923

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

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

The data analyzed in _________ must be interval.

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

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

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 _______.

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

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

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

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

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

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

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

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

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

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

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 _________.

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

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

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

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

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

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

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

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..

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..

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..

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

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

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,

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