This question is in honor of my alma mater, Texas Christian University

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This question is in honor of my alma mater, Texas Christian University. Young et al. (2006) studied horned lizard (aka horned frogs) survival at the hands of predators. They measured the length (in mm) of the squamosal horn of living horned lizards and of recently killed horned lizards to see if this structure might affect survival. For each outcome (alive or dead), they obtained data from 10 individuals from three populations. Live individuals were obtained from Lubbock, Austin, and Waco; dead individuals were obtained from Stillwater, Norman, and San Antonio. The lengths of the squamosal horn are given below for each population:

Condition	Population	Horn Length	Condition	Population	Horn Length
Alive	Lubbock	25.2	Dead	Stillwater	21.4
Alive	Lubbock	26.9	Dead	Stillwater	23.9
Alive	Lubbock	26.6	Dead	Stillwater	23.2
Alive	Lubbock	25.6	Dead	Stillwater	22.6
Alive	Lubbock	25.7	Dead	Stillwater	22.5
Alive	Lubbock	25.9	Dead	Stillwater	19.3
Alive	Lubbock	27.3	Dead	Stillwater	23.5
Alive	Lubbock	25.1	Dead	Stillwater	23.4
Alive	Lubbock	30.3	Dead	Stillwater	19
Alive	Lubbock	25.6	Dead	Stillwater	21.7
Alive	Austin	26	Dead	Norman	20.2
Alive	Austin	24.6	Dead	Norman	26.7
Alive	Austin	25.6	Dead	Norman	21.7
Alive	Austin	25.3	Dead	Norman	21
Alive	Austin	23.5	Dead	Norman	23.9
Alive	Austin	24.5	Dead	Norman	24.6
Alive	Austin	23.3	Dead	Norman	21.6
Alive	Austin	26	Dead	Norman	25.3
Alive	Austin	23.9	Dead	Norman	25
Alive	Austin	27.3	Dead	Norman	25.2
Alive	Waco	25.4	Dead	San Antonio	15.2
Alive	Waco	25.5	Dead	San Antonio	22.9
Alive	Waco	21.4	Dead	San Antonio	21.4
Alive	Waco	23.8	Dead	San Antonio	23.9
Alive	Waco	25.5	Dead	San Antonio	17.2
Alive	Waco	19.2	Dead	San Antonio	15.5
Alive	Waco	20.7	Dead	San Antonio	22
Alive	Waco	19.2	Dead	San Antonio	22
Alive	Waco	25.5	Dead	San Antonio	23.1
Alive	Waco	20.5	Dead	San Antonio	20.7

· You should analyze these data using one of the following options: two-factor ANOVA; nested ANOVA; repeated-measures ANOVA. Which is the correct option, and why is that the best analysis to use?

· Analyze the data using the ANOVA technique you selected for the answer to part A. The data may need to be rearranged in order to do this correctly in either Excel or some of the other online statistics calculators!