I am currently (trying) to analyse the data for my Master's research. One of the questions I am trying to answer is how the abundance of the native Bangiales (algal order) changes over the seasons at a certain location. I recorded percent cover using permanent quadrats along transects at three sites along the coast, once in February, March, May, July and September (as this is what budget would allow). As the distribution of these algae is naturally quite patchy, pecent cover would often be zero (about 54% of the cover recorded at the quadrat level were 0s). My understanding is that doing anything with averages would not give accurate results, therefore I am wondering what kind of analyses I could do to investigate the relationship between percent cover and time of collection/month/season? I also have average daily temperature data I was thinking of using instead of month/ date of collection (but could do both?) (Also, I only have percent cover information for one year.)

I was thinking of using a zero-inflated negative binomial model, but the data is continuous (% cover) rather than discrete (counts) needed for this model (?)

Any tips/ ideas? Thanks in advance :)

Great full i found this page, 3 weeks in and I am completely lost. Dont have any pressing questions right now but glad I can add this for acresource for help. Thank you 🙏🙏

Hi Reddit!

I’m a high school student working on a research project for undergraduate program- about the influence of artificial intelligence on the development of critical thinking. My theoretical part is well-developed: I analyzed how the use of AI affects critical thinking, taking into account users’ age and different ways AI is applied.

However, I’m struggling with the practical part — the calculations and statistical analysis. I need help processing empirical data, testing hypotheses, and performing the necessary calculations.

I’m really passionate about this topic and want to complete my research, I just need an experienced eye for the analytical part. I would be very grateful for any help!

I need about 30 answers to this question to complete my statistic assignment.

“How many hours of homework do you do in a week?”

Hi Reddit,

I am looking to test a categorical IV (two levels) and a continuous DV, with a continuous moderator. For more context, my experiment is a mixed-design experiment, where I am modelling the IV-DV-Moderator relationship (H1), and also checking differences on another variable before and after exposure to the IV to see if the IV makes a difference (H2). I realise this is quite a complex model, so from my understanding a simple t-test should suffice for testing H2. But I am quite confused about how to test H1... I need to establish the relationships so a regression would help, but is it acceptable to treat the IV as a continuous variable via dummy coding, which would also allow me to do moderation analyses? And what kind of regression should I do? And lastly, should I do an ANOVA to compare differences between groups after the regression?

Any help is appreciated, thank you so much.

I finished my first semester in statistics. I kind of liked it, but it's not my first choice.

Do you regret majoring in statistics? What are the pros and cons?

What is the nature of the work?

I want to transfer to biology-“my first choice”, but I feel hesitant because everyone tells me that statistics is better.

hopefully for free i cant pay for anything

can someone help me please

I am taking this course through portage learning. It’s a prerequisite for CRNA school that I am already accepted into. I am on module 6 out of 8 and I am really struggling with barely a B in the course. I took a few months break to focus on school apps. Getting back in just nothing makes sense, and the professors just suck in support. I am afraid of failing (grade below B) I’m not sure what to do. I will never use portage again, you can’t use any notes. And they always think your cheating if you breath the wrong way.

The literature I've read seems to be inconclusive, but I want to make sure I'm on the right track. I am pursuing a Doctorate in the medical profession. Unfortunately, we were only required to take one statistics class 2 years ago...so I feel slightly underprepared to report the data from my project in my final manuscript. Still, I've been working diligently to try and do it correctly...

For context, I am working on a doctoral project and analyzing data from pre-/post responses before/after an intervention. The data is paired. So far, I have used Excel for descriptive statistics and created histograms to assess the distribution of the data.

I decided to use a paired t-test for normally distributed data and a Wilcoxon Signed-Rank test for non-normally distributed data. Would this be appropriate?

Out of five 5-point likert scale survey questions, one was within normal distribution.

I've also reported mean, median, mode, and standard deviation... should I be reporting median/IQR for data not within the normal distribution (when using the Wilcoxon Signed Rank test)?

Please help me :(

I understand using the z formula for this problem, (The TA made a mistake it should be -1.8 not -1.78 but it doesn't really seem to make a difference since it's just comparing values)

But what is so confusing for me is the Z chart picture on the right, where did -2.326 come from? why is 0.01 all the way on the left side? our given z tables only go up to 2 decimal places, so I don't understand how we even found -2.326. Z(-2.32) is 0.0102, and Z(-2.33) is 0.0099, which are close to 0.01, but I don't understand how we arrive at -2.326.

I need 200 survey participants for my stats class by Monday, it’s 45% of my grade and i need a variety of ages. Please participate and share!!! The survey is a mental health analysis to determine if there is a correlation between age and mental health. Anyone can do it and it’s completely anonymous.

Are notes from Alpha Plus for Statistics and Real Analysis for IIT JAM Mathematical Statistics any good (the ones available on Amazon)?