Now you are studying a habitat in west Texas which contains 6 different species of scorpions: Centruroides vittatus (CV); Diplocentrus lindo (DL); Maakuyak waueri (MW); Paruroctonus gracilior (PG); Pseudouroctonus apacheanus (PA); and Chihuahuanus russelli (CR). You have estimated population abundances (# per 100 m2) from 4 locations for each species, and obtained the following data.
CV
|
DL
|
MW
|
PG
|
PA
|
CR
|
14
|
12
|
2
|
10
|
2
|
15
|
10
|
2
|
2
|
35
|
4
|
2
|
8
|
4
|
4
|
18
|
2
|
7
|
2
|
2
|
6
|
30
|
8
|
32
|
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Use a one-factor ANOVA to test the null hypothesis that population abundance is equal among these 6 species. Be sure to interpret your results and explain your reasons for declaring them significant or not significant.
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Use either Bartlett's test or Levene's test to determine whether your groups have equal variances.
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After determining that they do not, use a data transformation to help make your data obey the assumption of equality of variances. You can use any data transformation you would like, although you may have to try several to find one that works!
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Redo your one-factor ANOVA analysis, this time using the transformed data. Again, be sure to interpret your results and explain your reasons for declaring them significant or not significant. Did the results differ between your analysis here and your analysis in part A?