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However, attached to the choice of one member of a pair was a reward, and within an experimental condition, the cue for the rewarded stimulus was always the same.
Minitab 16 anova series#
Each child was given a series of pairs of stimuli, in which each pair differed in a variety of ways. “For example, suppose that three groups of small children were given the task of learning to discriminate between pairs of stimuli. 05." Table 4.4: Data for Factorial Independent ANOVA NormsĪn example from Hays (1974, pp. 782-784): The \(\alpha\) level chosen for each of these three tests will be. The norm-group-standing combination has no unique effect The actual norm group given the subjects has no effect There is no effect of the standing given the subject We wish to examine three null hypotheses: Hence, there are two additional experimental treatments: ‘college norms’, and ‘professional athlete norms’.
Minitab 16 anova professional#
One half of the subjects are told that they are being compared with college men, and the other half are told that they are being compared with professional athletes. Once again, there are three experimental treatments in terms of ‘standings’: ‘above average’, ‘average’, ‘below average’. In one experimental condition he is told that his performance is above average for the norm group, in the second condition he is told that his score is average, and in the third condition he is told that his score is below average for the norm group. Before he predicts, the subject is given ‘information’ about how this score compares with some norm group. After a fixed number of trials, during which the subject gets the preassigned score, he is asked to predict what his score will be on the next group of trials. "Just as before, the experimental game is under the control of the experimenter, so that each subject actually obtains the same score. The alpha level chosen for the experiment was. H 0: \(\mu\) 1 = \(\mu\) 2 = \(\mu\) 3 = \(\mu\) 4Īs against the hypothesis that treatment differences exist: The null hypothesis was that the four treatment populations of rats are identical in their average ability to learn this task: The dependent variable score was the average number of trials it took each rat to learn the task to some criterion level.
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After a period of postoperative recovery, each rats was given the same series of discrimination problems. Four groups of randomly selected rats were formed, and given the various treatments. so that the lesion could be introduced into the structure on the right side of the brain, the left side, both sides, or neither side (a control group). The particular structure studied is bilaterally symmetric. "An experiment was carried out to study the effect of a small lesion introduced into a particular structure in a rat’s brain on his ability to perform in a discrimination problem. 9.1 Classical Single-Test Reliability AnalysisĪn example from Hays (1974, pp. 476-478):.
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This range does not include zero, which indicates that the difference between these means is significant. The graph that includes the Tukey simultaneous confidence intervals show that the confidence interval for the difference between the means of Blend 2 and 4 is 3.114 to 15.886. The engineer uses the Tukey comparison results to formally test whether the difference between a pair of groups is statistically significant. The engineer knows that some of the group means are different. This result indicates that the hardness of the paint blends differs significantly. The p-value for the paint hardness ANOVA is less than 0.05.