In one-way ANOVA, the variances for all populations are assumed to be the same.
True
False
0.35715 points
The Bonferroni technique can only be used when there are more than two groups.
A one-way ANOVA's null hypothesis states that at least two of the population means are equal.
Following a significant ANOVA results with multiple independent samplest-tests is not recommended because of inflated type I error rates.
ANOVA can only be used on variables where the means can be calculated. Thus, it can only be used with dependent variables measured at:
ratio-level only
any level of measurement
interval-level only
interval or ratio level
Variability that is due to the different treatments that the groups receive is called:
between-group variability
a factor score
within-group variability
a treatment effect
In theFratio, _____________ is the denominator.
factor scores
treatment effect
Which of the following shows the correct APA style for results from an ANOVA?
F(12) = 6.15,p> .05
F(3, 12) = 6.15,p
Ftotal(df = 3) = 6.15, p
F = 6.15,pdf= 3, 12
Use the Im et al. article to answer this question. What table displays the ANOVA results?
Table 1
Table 2
Table 3
Table 4
Table 5
Use the Im et al. article to answer this question. How many groups were compared in the ANOVA?
2
3
4
5
Use the attached dataset (Tooth Growth) to answer the following questions. The data set tests the effect of vitamin C on tooth growth in guinea pigs. The response is the length of odontoblasts (cells responsible for tooth growth) in 60 guinea pigs. Each animal received one of three dose levels of vitamin C (0.5, 1, and 2 mg/day) by one of two delivery methods, (orange juice or ascorbic acid (a form of vitamin C and coded as VC).
Variables are as follows:
[1]len = Tooth length
[2]supp = Factor supplement type (VC or OJ).
[3]dose = Dose in milligrams/day
Yes
No
What was the p-value from the ANOVA table?
0.050
0.030
0.001
0.065
Was the Levene’s test for equality of variance significant?
Which dose of supplement had the highest mean of tooth growth?
500
1000
2000
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