Present A chi-squared analysis that tests for a difference in how life stages are distributed across treatments
The experiment was undertaken in external university campus science labs.
The experiment involved working with meal worms of various sizes and assigning them into three treatment groups.
Treatment 1 contains 100% oat bran
Treatment 2 contains 505 oatbtran and 50% polystyrene
treatment 3 contains 100% polystrene
Three mealworms of varying mass were randomly assigned to one of the three treatment groups.
Treatment 1 had been randomly assigned mealworm of mass 0.196 grams
Treatment 2 had been assigned mealworm of mass 0.172
Treatment 3 was assigned a mealworm of mass 0.202
Hypothesis.
Hypothesis: a polystyrene only diet will affect the growth and survival of mealworms
Prediction
A diet based solely on polystyrene in mealworms will affect mealworms development and surbibability..
The life stage was then observed after 4 weeks. And put in a collated file with every ones results. At the end of the 4 weeks it was either dead ,larva stage, pupa stage or adult. Everyones results were compiled and placed in a collated file and graphed.
Further clarification:
Your report should include THREE Figures. Two of these have been generated already and are available for download (as either Word or Excel files) under the Assessments tab. You will need to construct the third Figure. There is a “how-to” guide with detailed instructions for doing this.
Specifically, the three Figures to include are:
1. A clustered column graph of the life stage distribution across treatments (supplied)
2. A mean +/- standard error graph of final body weights across treatments for the adults & pupae pooled (supplied)
3. A mean +/- standard error graph of final larval body weights across treatments (for you to construct)
Note that you will need to include Figure legends for all of these, and formatting should adhere to any guidelines specified in the instructions to authors for the Journal of Cromulent Science.
The results of two analyses should be reported. These are supplied within the class dataset file:
1. A chi-squared analysis that tests for a difference in how life stages are distributed across treatments
2. An Analysis of variance (ANOVA) that tests for a difference in body weight across treatments (i.e., whether the feeding treatment influenced body weight).
There are also “how-to” guides that step through each analysis and provide advice about how to correctly report and interpret the results. These guides have been updated to ensure they are consistent with the above instructions. Please ensure that you work from the updated versions (v2).
I hope that this advice clears up any and all confusion regarding assignment expectations.
