Statistics

Statistics

If a finding is properly labeled statistically significant, this necessarily means that it is large, important, and useful.TrueFalse

Which of the following is an independent measures design? a. All participants perform in all conditions. b. Each participant is tested twice, once in each condition. c. Different participants perform in each condition. d. None of the above.

Concerning the t test it is accurate to say: a. The t value used in the t test is the ratio of the sample statistic to its standard error. b. It is used to examine the statistical significance of mean differences. c. Like all significance tests, it yields a p value.d. When the difference between the means of two groups is studied, the t test gives the same p value as does ANOVA (F test). e. All of the above.

The null hypothesis usually corresponds with the researcher's hunch about the way things really are.TrueFalse

All else equal, the larger a random sample: a. The greater the statistical power. b. The smaller the sampling error c. The narrower the confidence interval. d. The smaller the p value. e. All of the above.

The entire process of estimation of population parameters is built on the assumption that the data comes from a random or probability sample.TrueFalse

A dependent t test is used to test for: a. Differences between means of groups containing different people when the data are normally distributed, have equal variances, and data are at least interval. b. Differences between means of groups containing different people when the data are not normally distributed or have unequal variances. c. Differences between means of groups containing the same people when the data are normally distributed, have equal variances, and data are at least interval. d. Differences between means of groups containing different people when the data are not normally distributed or have unequal variances

Confidence intervals can easily be built around means, but not around most other statistics, such as Pearson r correlations.TrueFalse

Participants take a simulated driving test twice: in one condition, they have no alcohol, in the other, they have enough alcohol to take them over the legal limit, which statement is true? a. The type of alcohol could be a confounding variable b. It is appropriate to analyze the results using a paired sample t test. c. The experiment has two dependent variables

Consider this table. Did the independent variable have an effect?

Independent Sample Test

t-test for equality of mean

t

df

Sig.(2-tailed)

Number Correct

Equal variances assumed

10.991

38

.00

Equal variances not assumed

10.991

30.727

.00

 a. Yes, there is a statistically significant effect. b. Yes, but the effect was not statistically significant. c. Not enough information d. No, it is not statistically indicant.

Depicted in the diagram, is the association between the mean birthrate and mean education rate in 100 nations. The regression coefficient b is about -4.0 and is significant at the .001 level. The intercept is about 50. The correlation between the two is about r = -.84 and the R2 is about.70.Based on the diagram, and information above, one could use the regression coefficient r = -.84 to estimate either the influence of education on birthrate or the influence of birthrate on education.(Diagram description:- it is a two dimensional diagram showing the calculated regression line which is calculated using least-square from data point)TrueFalse

If you had 3 IVs and 1 DV and conducted both a multiple regression analysis and an analysis of variance, your results would give you: a. Only measures of statistical significance in the analysis of ...