What are the best tests and statistics indicators for analyzing algae data?

  • Context: Graduate 
  • Thread starter Thread starter moss888
  • Start date Start date
  • Tags Tags
    Plan Test
Click For Summary
SUMMARY

The discussion focuses on selecting appropriate statistical tests and indicators for analyzing algae data in two case studies involving Macro algae. The first case examines weight differences among male, female, and hybrid algae across three sites, while the second case investigates spore production across different sections of the algae under varying temperature and luminosity conditions. The user seeks guidance on suitable statistical methods and indicators to effectively analyze their data and present convincing results to stakeholders.

PREREQUISITES
  • Understanding of SPSS for statistical analysis
  • Knowledge of statistical tests such as ANOVA and t-tests
  • Familiarity with experimental design principles
  • Basic concepts of algae biology and taxonomy
NEXT STEPS
  • Research suitable statistical tests for comparing means, such as ANOVA for multiple groups
  • Learn about the Design of Experiments (DOE) for planning future measurements
  • Explore statistical indicators like effect size and confidence intervals for data interpretation
  • Investigate literature on algae studies to identify commonly used methodologies
USEFUL FOR

Researchers in marine biology, environmental scientists, and statisticians involved in ecological studies, particularly those analyzing algae data and seeking to apply appropriate statistical methods.

moss888
Messages
1
Reaction score
0
Hello,
I’m preparing a research report in Aqua maritime specialty; my case study concerns the Macro alga.
My case:
My issue is that there are a lot of tests procedures and statistics indicators those could be used so that I can’t figure out which tests should I take on consideration? Which tests should I avoid? My purpose is to prepare a statistic tests plan and statistics indicators set that explain well and convince the responsible.
My lab experiences:
Case study 1:
I’m studying two kinds of algae (http://en.wikipedia.org/wiki/Algae)
1. Algae A
2. Algae B
In three sites:
1. Site A
2. Site B
3. Site C
Those Algae are of sex:
1. Male
2. Female
3. Hybrid(Male and female at the same time like the snail)
The observations are taken in SPSS as follow:
Site Sex Month Quarter Weight
Possible values for the sites:
1 -> Site A
2 -> Site B
3 -> Site C

Possible values for the sex:
1->Male
2->Female
3->Hybrid
Possible values for the month:
1-> January
.
to
12->December
Possible values of the saison or quarter:
1->Harvest
2->Winter
3->Spring
4->Summer
Possible value of the weight
Could be a sacle numeric value with format like 000,00

The Observation concerns just one year (2008-2009)
The observed variable is the weight.
My Goal is to compare and do test according to each:
1. Different sexes per site or location
2. Different sites per sex category

The Observed IV (sample) count is more than 100

Case study 2:
I will study the number of the spore ( http://en.wikipedia.org/wiki/Spore) those are produced by the two same Algae.
First of all, each Algae is reduced to three sections
1. Inferior section
2. Intermediate section
3. Superior section
The fact is that each section produces different amount of spores, therefore we proceed and cut each Algae to three sections.
1. I studied this production in two different temperatures levels, namely 16 and 25 C.
2. I exposed them to different luminosity intensity level, whishes are tree levels
3. I also exposed them for different luminosity periods 12 hours per day and 6 hours per day
And I came out with different observations of spore numbers. I registered the number of the produced spore per week for six weeks.
Inferior section Intermediate section Superior section
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
What I’m asking is what is the suitable test set, which test should I avoid, which are the statistics indicators those could be used for each case study.
Thank you
 
Physics news on Phys.org
A basic point to clarify is whether you are creating a plan for measurements that will be made in the future and trying to decide how to allocate resources (in statistics, this topic is called "The Design of Experiments") or whether you are preparing a plan to analyze data that has already been collected.

Statistics is a subjective field. If you need approval from certain people, the best thing to do is look up work that they have done and see what methods they have used.

There might be an algae biologist on the forum who happens to read your post and can tell you how to proceed, but I think the rest of us, the Wikipedia articles not withstanding, need to know what you are trying to find out from the data. Is this a "what factors influence..." type of analysis ?
 

Similar threads

  • · Replies 30 ·
2
Replies
30
Views
4K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 11 ·
Replies
11
Views
2K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 13 ·
Replies
13
Views
2K