22. The Muller-Lyer illusion is shown in the figure. Although the two horizontal lines are the same length, the line on the left appears to be much longer. To examine the strength of this illusion, Gillam and Chambers (1985) recruited 10 participants who repro- duced the length of the horizontal line in the left panel of the figure. The strength of the illusion was mea- sured by how much longer the reproduced line was than the actual length of the line in the figure. Below are data like those observed by the researchers. Each value represents how much longer (in millimeters) the reproduced line was than the line in the figure. 2.08 2.7 3.42 1.59 2.04 2.87 3.36 0.49 3.82 3.91 a. Use a one-tailed hypothesis test with a 5 .01 to demonstrate that the individuals in the sample sig- nificantly overestimate the true length of the line. (Note: Accurate estimation would produce a mean of m 5 0 millimeters.) b. Calculate the estimated d and r2, the percentage of vari- ance accounted for, to measure the size of this effect.c. Construct a 95% confidence interval for the popula- tion mean estimated length of the vertical line.
22. The Muller-Lyer illusion is shown in the figure. Although the two horizontal lines are the same length, the line on the left appears to be much longer. To examine the strength of this illusion, Gillam and Chambers (1985) recruited 10 participants who repro- duced the length of the horizontal line in the left panel of the figure. The strength of the illusion was mea- sured by how much longer the reproduced line was than the actual length of the line in the figure. Below are data like those observed by the researchers. Each value represents how much longer (in millimeters) the reproduced line was than the line in the figure.
2.08 2.7 3.42 1.59 2.04 2.87 3.36 0.49 3.82 3.91
a. Use a one-tailed hypothesis test with a 5 .01 to demonstrate that the individuals in the sample sig- nificantly overestimate the true length of the line. (Note: Accurate estimation would produce a
b. Calculate the estimated d and r2, the percentage of vari- ance accounted for, to measure the size of this effect.
c. Construct a 95% confidence interval for the popula-
tion mean estimated length of the vertical line.
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