Solution:
In an ANOVA table
Group variability can also be thought of as between groups
variability
Error variability can also be through as within-group
variability
Total variability = Between-group variability + Within-group
variability
So its correct answer is A. i.e. Within groups variability may also
be thought as Error. So its correct answer is A.
Question 34 2 pts variability may also be thought of as Within-groups; 'error Between-groups; 'significant' Between-groups;...
In ANOVA, variability between groups reflects _________, whereas variability within groups reflects __________ . total variance; error variance error variance ; total variance random error; a true effect (if one exists) both a true effect (if one exists) and random error; only random error just a true effect (if one exists); random error Rejecting the null hypothesis with the overall or omnibus One-way Analysis of Variance indicates that the: mean of one sample differs significantly from the mean of at...
1. Which of the following demonstrates a Type I Error? A. A researcher obtains a significant result and rejects the null hypothesis when the result is actually due to random chance and sampling error. B. A researcher obtains a significant result and fails to reject the null hypothesis when the result is actually due to random chance and sampling error. C. A researcher obtains a nonsignificant result and rejects the null hypothesis when the result is actually due to a...
Question 12 2 pts If a researcher reports a “statistically significant difference” between two groups after conducting an independent-samples t test, this implies that: Cohen's d is at least 0.50. the difference between the two groups is unlikely to have occurred by chance if the null hypothesis is true. the difference between the two groups is unlikely to have occurred by chance if the null hypothesis is false. there is a large difference between the two groups.
6. Typically, when comparing a within-subjects design to a between-groups design which of the following describe their differences in error variance? a. Within-subjects designs results in less error variance than between-groups. b. A within-subjects design results in more error variance than a between-groups design. C. A within-subjects design results in the same amount of error variance as a between-groups design d. There is no error variance in a within-subjects design, whereas a between- groups design does present some error variance....
D Question 4 0.25 pts Suppose 3 groups of registered voters (Democrat, Republican, Independent) were asked what percentage of their state budget should consist of money from the federal government. There were 35 people in each group. The mean reported for the Democrat group was 60, the mean for the Republican group was 40, and the mean of the Independent group was 48. Which of the following represents the between:group variability of this study? sampling error the effect of political...
26. ____ In analysis of variance, observed mean differences appear, somewhat disguised, as variability a) between groups b) between subjects c) within groups d) within subjects 27. ____ When all possible difference between pairs of population means are evaluated not with F test, but a series of regular t tests, the probability of a a) type I error is larger than the level of significance b) type I error is smaller than the level of significance c) type II error...
Question 30 2 pts are those who meet the needs of growing ethnic groups within a foreign nation. O Advocacy entrepreneurs O Millenial entrepreneurs Cultural entrepreneurs O Predatory entrepreneurs
Question 44 For the one-way within-subjects ANOVA, the more ______ participant responding between groups, the less powerful the test will be at detecting an effect. a. inconsistent b. consistent c. efficient d. inefficient
Question 1 (1 point) Where t-tests only allow the comparison of 2 groups at a time, ANOVA will analyze the variance among three or more groups. Question 1 options: a) True b) False Question 2 (1 point) There is no effect on error rate whether we run one ANOVA with post hoc tests or multiple t-tests. Question 2 options: a) True b) False Question 3 (1 point) The F-Ratio is calculated by taking the ratio of variance between two groups...
D Question 7 2 pts Only coefficients with a large standard error can be statistically significant. True False D Question 8 1 pts If you estimate a regression model and the R-square is 0.50, how much of the variation in the dependent variable is explained by the independent variables O 10% O 25% 50% О 100%