BNAD 277 Concept chapter 13
If there are five treatments under study, the number of pairwise comparisons is:
10
In a two-way ANOVA test, how many null hypotheses are tested?
2 or 3
Fisher's least difference (LSD) method is applied when the:
ANOVA test has rejected the null hypothesis of equal population means
Which of the following is the correct interpretation of the Fisher's 100(1 - α)% confidence interval for μi-μj ?
If the interval does not include the value zero, the null hypothesis, that H0: μi- μj = 0, is rejected at α level of significance
If the interaction between two factors is not significant, the next tests to be done are:
Tests about the population means of factor A or factor B using two-way ANOVA without interaction.
Identify the assumption that is not applicable for a one-way ANOVA test.
The population standard deviations are not all equal
Which of these null hypotheses is applicable for a two-way ANOVA test with interaction?
There is no interaction between factors A and B.
One of the disadvantages of Fisher's least difference (LSD) method is that the probability of committing a:
Type I error increases as the number of pairwise comparisons increases.
One-Way ANOVA analyzes the effect of one factor on the population mean. It is based on a:
completely randomized design
Fisher's 100(1 - α)% confidence interval for the difference between two population means μi- μj is:
formula sheet 8
Tukey's 100(1 - α)% confidence interval for the difference between two population means μi- μj for balanced data is given by ______.
formula sheet 9
Tukey's honestly significant differences (HSD) method ensures that the probability of a Type I error remains fixed irrespective of the number of:
pairwise comparisons
When using Fisher's least significant difference (LSD) method at some stated significance level, the probability of committing a Type I error increases as the number of:
pairwise comparisons increases
If units with each block are randomly assigned to each of the treatments, then the design of the experiment is referred to as a:
randomized block design
If the amount of variability between treatments is significantly greater than the amount of variability within treatments, then:
reject the null hypothesis of equal population means
Between-treatments variability is based on a weighted sum of squared differences between the:
sample means and the overall mean of the data set
Tukey's honestly significant differences (HSD) method uses _______instead of______ when compared to Fishers least differences (LSD) method for pairwise comparisons.
studentized range values; t values
The variability due to chance, also known as within-treatments variability, is the estimate of σ^2 which is based on the:
variability of the data within each sample