Exam 16: Appendix E: Using Theory to Generate Research Hypotheses

If you are comparing participants' scores at time one with the same participants' scores at time two, you could use the dependent t test.

If you have ordinal data, you can use

The F-ratio is best expressed as:

The accuracy of your sample mean depends on how many scores you use to calculate that mean.

If you have interval data and wish to measure the extent to which two variables are related, compute a Pearson r.

You can use the t distribution to estimate how likely it is that two sample means are samples that have the same population mean

In which case, would you be most likely to find a statistically significant effect?

If the standard deviation is 100 and the sample size is 4, the standard error will be

The control group mean

Standard deviation is to standard error as

Factor analysis:

The assumptions made in conducting the between subjects analysis of variance are the same as the assumptions made in conducting a t test except that in the between-subjects ANOVA

Finding a difference between the treatment group mean and the control group mean shows that the treatment had an effect.

The independent-groups t test is used when you compare participants' scores at time one with that same participants' scores at time two.

Pearson rs can range from

Which of these terms is likely to be the smallest?

If your sample size is small,

To analyze data from a multiple-group experiment use multiple t tests.

Approximately what percentage of the cases represented by the normal cure fall within 2 standard deviations from the mean?

If there is no variance on a particular variable, you should suspect that this similarity of scores is a product of random error.