1. For a one-factor ANOVA comparing the effect of four different treatments on a recovery time from a physical injury, what is stated by the alternative hypothesis (H1)?
A. One treatment is significantly more effective in shortening the recovery time.
B. There are some significant differences in recovery time after the four treatments.
C. All treatments are equally effective in shortening the recovery time.
D. There is no significant difference in recovery time after the four treatments.
2.For a one-factor ANOVA comparing the effect of four different treatments on a recovery time from a physical injury, what is stated by the null hypothesis (H0)?
A. All four treatments result in a significantly different recovery time.
B. There are some significant differences in recovery time after the four treatments.
C. There is no significant difference in recovery time after the four treatments.
D. One treatment is significantly more effective in shortening the recovery time.
3. In a one-factor ANOVA for independent samples, the effect of treatment contributes to which of the following variances?
A. Both between-groups variance and within-groups variance.
B. Between-groups variance .
C. Within-groups variance.
D. None of the above.
4. In one-factor ANOVA for independent samples, the estimation of how much groups can be expected to differ by chance is provided by which component of the F ratio?
A. both, the numerator and denominator (i.e., both between-treatments variance and within-treatments variance).
B. the denominator (i.e., within-treatment variance).
C. the numerator (i.e., between-treatment variance).
1) A) One treatment is significantly more effective in shortening the recovery time.
2) C) There is no significant difference in recovery time after the four treatments.
3) B) Between-groups variance .
4) B) the denominator (i.e., within-treatment variance).
1. For a one-factor ANOVA comparing the effect of four different treatments on a recovery time...
In a one-factor ANOVA for independent samples, the mean differences between-groups caused by a treatment effect contribute to which of the following variances (i.e., Mean Sum of Squares, MS0? A. Both between-treatments variance and within-treatments variance B. Between-treatments variance but not within-treatments variance C. Within-treatments variance but not between-treatments variance D. None of the above.
2.) The data below are from an independent-measures experiment comparing the effects of insomnia treatments. Treatment 1 is a control group, Treatment 2 meditated before sleeping, and Treatment 3 received a sleeping pill. Note Pay close attention to what information you are given! Treatment1 Treatment 2 Treatment 3 6 G-36 T2 = 8 SS2 -6 T's = 24 SS-6 SS: = 6 a.Complete the ANOVA summary table below to help determine whether these data indicate any significant mean differences among...
The following results are from an independent-measures, two-factor study with n = 5 participants in each treatment condition Factor A: Factor B: 3 M=5 M=8 M=14 T=25 T=40 T=70 SS 30 SS 38 SS46 n=5 n=5 n=5 2 T= 15 T-20 T=40 SS 22 SS 26 SS 30 ZX2 = 2,062 Use a two-factor ANOVA with α = .05 to evaluate the main effects and interaction. Source df MS Between treatments A x B Within treatments Total F Distribution Numerator...
An interaction effect means that the combination of factors creates a different result. True False "A researcher conducts an experiment comparing four treatment conditions with n=12 scores in each condition. If the researcher uses a repeated-measures design, how many individuals are needed for the study?" a 12 b 24 c 36 d 48 "You have to find the F-critical for each effect when running a two-factor, independent measures, ANOVA. " True False "After you remove the individual differences in a...
1. A researcher reports an outcome of one-factor ANOVA for independent samples as “the results showed a significant difference among treatments, F(3, 64) = 5.42, p < .01.” How many treatment groups were compared in this analysis? A. 4 B. 5 C. 3 D. 1 E. 2 2. In one-factor AOVA, which of the following is expected If there is no significant effect of experimental treatments? A. MSbetween should be greater than MSwithin B. MSbetween should be about the same...
21. In one-factor ANOVA for independent samples, which of the following reflects a random variability of scores in the samples? A. MSbetween B. MStotal C. MSwithin D. A & B 22. A one-factor ANOVA is used to evaluate the mean differences in cognitive task performance between three experimental groups, with n = 15 participants in each group. If the computed F = 3.17, which of the following is the correct statistical decision? A. Reject the null hypothesis with either α...
1) A researcher conducts an experiment comparing four treatment conditions with a separate sample of n 10 in each treatment. An ANOVA is used to evaluate the data, and the results of the ANOVA are presented in the following table Complete all missing values in the table. Hint: Begin with the values in the df column Source SS Between treatments 10 Within treatments Total df MS 164
Anova: Single Factor SUMMARY Count Av Variance Sum 165.000000000 27.500000000 8.300000000 174.000000000 29.000000000 2.000000000 155.000000000 25.833333333 1.366666667 188.000000000 31.333333333 0.666666667 ANOVA P.value Fcrit Between Groups 98.166666667 3 Within Groups 61.666666667 20 MS 32.722222222 10.612612613 0.000217836 3.098391196 3.083333333 Total 159.833333333 23 TUKEY MULTIPLE COMPARISON TEST Distance 2.838767338 3.96 0.05 Means joined by a double line are not significantly different. 25.833333969 27.500000000 29.000000000 31.333333969 19. Is there a statistically significant difference in the average processing time between the four products? A. Yes,...
An analysis is conducted to compare mean time to pain relief (measured in minutes) under four competing treatment regimens. Summary statistics on the four treatments are shown below. Treatment Sample Size Mean Time to Relief Sample Variance A 5 33.8 17.7 B 5 27.0 15.5 C 5 50.8 9.7 D 5 39.6 16.8 Complete the following ANOVA Table. Source of Variation SS df MS F Between Groups . Within Groups 3719.48 Total
12. Measuring effect size for two-factor ANOVA It is projected that approximately 580,000 veterans will take advantage of the GI Bill for the 21st Century. Boots to Books is a course for all veterans, current military members, and their family members, friends, and supporters. The goal of Boots to Books is to assist deployed, postdeployed, and veteran students in making a positive transition from military to civilian life or from deployment to postdeployment life, including the acquisition of college survival...