Which of the statements about one-way ANOVA is FALSE?It is used when there are two independent variables in the experiment.The purpose of one way ANOVA is to verify whether the data collected from different sources converge on a common mean.ANOVA deals only with one factor, such as treatment or group.There can be any number of levels in one-way ANOVA.

Select the false statement about ANOVA. If a researcher wants to study the effectiveness of three brands of nicotine patches, the researcher should use a One-Way ANOVA test.  A one-way ANOVA hypothesis test considers comparisons between populations based on one characteristic, while a two-way ANOVA hypothesis test considers comparisons between populations based on multiple characteristics.If a researcher wants to compare the mean wages of females in different age groups at a particular company to the mean wages of males in different age groups at the same company, the researcher should use a Two-Way ANOVA test.If a researcher wants to compare the mean wages of females in different age groups at a particular company, he or she should not use an ANOVA because the population means are unknown.

Which of the following is an example of a one-way ANOVA test?a.)Comparing the number of hours of sleep between children and teenagers.b.)Comparing the monthly incomes of residents who live in urban and suburban areas.c.)Studying the number of hours of sleep for teenagers, adults, and senior citizens.d.)Studying the number of hours slept as well as the average GPAs for middle school, high school, and college students.

A two-way ANOVA has:Question 1Answera.Two conditionsb.Two ways of collecting the data, with collection as both a within and between participant design within one experimentc.Two ways of analysing the data, both qualitatively and quantitativelyd.Two factors that have at least two conditions each.

You obtained a significant test statistic when comparing three treatments in a one-way ANOVA. In words, how would you interpret the alternative hypothesis Ha?None of 1., 2. and 3.All of 1., 2. and 3.2.Exactly two of the three treatments have the same effect on the mean response.3.At least two treatments are different from each other in terms of their effect on the mean response.1.All three treatments have different effects on the mean response.

In a  One-Way Analysis of Variance Table which of the following statements is necessarily true?Group of answer choicesThe "Sum of Squares for Groups" measures the variation among individual observations within the group.A "Large" F-value means that most of the observed variation in the response variable is due to sampling variability.The F-test compares the variation between the groups with the background variation within each group.Comparing the means for two independent populations (with unknown standard deviations) using an ANOVA  (F-test) is, necessarily, equivalent to using an independent samples t-test.An F-test is useless because it doesn't tell us which treatment produces "optimal" results