NEW
Font size
WorksheetsANOVA Analysis
Total questions: 10
Worksheet time: 5mins
The ANOVA procedure is a statistical approach for determining whether or not
The means of two or more samples are equal
the means of more than two samples are equal
the means of two or more populations are equal
the means of two samples are equal
In a one-way ANOVA, which of the following statements is correct?
There are multiple interactions
An interaction is present
An interaction can be tested
There is no interaction
In the ANOVA, treatment refers to
experimental units
a factor
applying a treatment/medicine
different categorical levels
Which of the following statistical concepts is used to test differences in the means for more than two independent populations?
Multiple t tests
Analysis of variance
Confidence Interval
Regression Analysis
In a one-way ANOVA, if the computed F value exceeds the critical F value, what decision is made regarding the null hypothesis
Reject H0 since there is evidence of a treatment effect.
Do not reject H0 because a mistake has been made.
Reject H0 since there is evidence that all means differ
Do not reject H0 since there is no evidence of a difference
The number of times each experimental condition is observed in a factorial design is known as
partition
factor
experimental condition
replication
ANOVA tests use which of the following distributions?
F
t
Z
Chi-square
The one-way ANOVA is used to test statistical hypotheses concerning which of the following?
Means
Proportions
Variances
Standard deviations
In a one-way ANOVA, how many degrees of freedom exist for the F-test? (k represents the number of groups)
(Nk-1) and (N-1)
(k-1) and (N-k)
(N-1) and (N-k)
(k-N) and (N-k)
An ANOVA procedure is applied to data obtained from (k=5) samples with each containg (n=10) observations. The degrees of freedom for the critical value of F are
5 numerator and 45 denominator degrees of freedom
4 numerator and 45 denominator degrees of freedom
4 numerator and 5 denominator degrees of freedom
4 numerator and 9 denominator degrees of freedom
