In a repeated-measures experiment, each individual participates in one treatment condition and then moves on to a second treatment condition.  One of the major concerns in this type of study is that participation in the first treatment may influence the participant’s score in the second treatment.  This problem is called ____.

One sample has n = 4 scores and M = 10.  A second sample has n = 6 scores and M = 5.  If the two samples are combined, then what is the mean for the combined sample?

Participants recorded their body temperatures to see if their average body temperature matched the average body temperature of the population. Body temperature is measured on what level?Body Temperature97.8 °F96.3 °F99.0 °F101.0 °F98.2 °F

What is the value of ΣX2 for the following scores?  Scores: 1, 0, 2, 4

An analysis of variances produces dftotal = 29 and dfwithin = 27.  For this analysis, how many treatment conditions are being compared?

Two samples, each with n = 6 subjects, produce a pooled variance of 20.  Based on this information, what is the estimated standard error for the sample mean difference?

A distribution of scores has a mean of µ = 50.  One new score is added to the distribution and the new mean is found to be µ = 48.  From this result, you can conclude that the new score was ____.

A repeated-measures study comparing two treatments with a sample of n = 4 participants produces a mean of M = 18 with SS = 24 for the scores in the first treatment, a mean of M = 14 with SS = 18 for the scores in the second treatment, and a mean of M = 4 with SS = 12 for the difference scores.  What is the estimated standard error for the sample mean difference?

If an analysis of variance is used for the following data, what would be the effect of changing the value of M1 to 20?Sample DataM1 = 15    M2 = 25 SS1 = 90    SS2 = 70

One sample has n = 4 scores and M = 10.  A second sample has n = 6 scores and M = 5.  If the two samples are combined, then what is the mean for the combined sample?