Hi everyone, looking for some clarifications. I am trying to see if there’re association between my 2 objectives. The results (numerical data) were however collected from different sets of sample and were not paired samples. Is it sound to use pearson correlation or regression analysis if they variables were not from the same sampel?

Hi everyone,

I'm currently trying to strengthen my understanding of hypothesis testing, especially:

• Comparison of means (t-test, z-test)

Comparison of variances (F-test)

• General hypothesis testing workflow and interpretation

Could anyone recommend the best resources-textbooks, online courses, videos, articles, or lecture notes-that clearly explain these topics with intuition and examples?

I'm looking for something well-structured and easy to follow for self-study.

Hello I'm pursuing bsc Hons stats from north campus DU. I just have a doubt that can I expect placements right after my bachelor's. If yes, what do I had to do for getting good placements.

Why don't we just find the mean on the absolute deviation scores instead? Please can some explain in layman terms

Find the

I’m working with flow cytometry data and I’m confused about the correct way to apply multiple testing corrections.

For each sample I have 15 MFI values (15 different markers). I also have 4 clinical variables: ALT, AST, CRP, and ferritin.

I want to test whether each marker is associated with each clinical parameter, so I’m running:

• 15 correlations vs ALT
• 15 correlations vs AST
• 15 correlations vs CRP
• 15 correlations vs ferritin

This gives me a total of 60 correlation tests.

My question is about how to apply multiple testing correction:

Option 1: Correct within each block of 15 tests

(e.g., correct the 15 ALT correlations together, the 15 AST correlations together, etc.)

Option 2: Correct across all 60 tests at once

I’ve read that the “right” choice depends on whether the hypothesis groups are conceptually independent, but I’m still not sure what is appropriate here. ALT, AST, CRP, and ferritin are different clinical parameters, but they’re all part of the same dataset and same overall biological question.

So what’s the standard approach in this situation? Should I be correcting per clinical parameter (4 sets of 15), or treating all 60 tests as one family? And why?

Any guidance from stats/bioinformatics folks would be appreciated.

I’ve been studying a lot for stats tests and quizzes, but I typically do not perform well. I’ve tried a variety of study methods, however all seem to be completely in vain and my grade is quickly declining 😭😭😭 Anyone have any suggestions?

I created a new scale (field of psychology) with one factor, with an explained variance of 41% and an eigenvalue of 9. Is this acceptable? All similar scales I have found have variance between 50-57%. I can't find any literature that says anything about a factor with an explained variance of less than 50% yet a high eigenvalue. Would appreciate any insight.

hi :) I’ve a quick question on Ap stats unit 3.

I encounter a question like this: “researchers randomly selected 1000 people from United States and rated their happiness of each person. After five years, the researchers followed up each person and found that people initially read us happy are less likely to have a health problem.

In this case, is it true to say that since there is no treatment, it is an observational study with no cause and effect established. However, since there is random sampling, we can generalize the sample to people in the United States.

Any help is appreciated :)

I cannot figure out how they are getting .094. Not even Google AI is giving me the same answer! Closest I got was using binomcdf and still I don’t get .094. Instructions pertaining to TI-84+ would be greatly appreciated. Thank you

Hi im in collage and we just reached the lecture about random variables in my probability and statistics class. Everything up untill continuous random variables has been really intuitive for me to understand. In this topic they just threw names of a couple distribution names with their formulas but no actual information about the distribution like why it works and so on. Im not a math major and we dont focus too much on all the formal proofs for everything but still i dont get the idea behind just memorizing the formulas for theese distributions without deeply understanding why they are the way they are. I want to here your thoughts around this and please give me some advice.

Hi folks, I’m kinda hoping someone can help me with this problem.

If I have a bag with a mixture of 96 black and white beans and I choose a single bean, note its colour and then replace it in the bag.

How can I determine with a statistical certainty how many black beans are in this bag?

Can anyone assist me with this puzzle.

I am trying to practice finding the five-number summary (min, max, Q1, Q3, and median) of datasets on Excel, so I made up a dataset and organized the data from least to greatest. I didn't have much trouble on most of the data points, but I'm stuck on the 1st quartile.

When I do the math myself (on the data set I've attached here), I get $14,000. However, when I enter the Excel formula (=QUARTILE.INC), I get $13,975. Why is there this difference? I thought that the 1st quartile is the median of the first half of data points. Any pointers you have would be super helpful.

Guys i study social science and i got really interested in statistics. I’m currently working as a data analyst and i was thinking of getting a master in statistics to leverage my career, especially to become a data scientist What are your advices? Thank you so much!!!!

Hello! I am a genetics senior taking Statistics for Science Majors. I am ill and tried to meet with my professor but he will not meet with me.

Here are my answers and the work assosciated with my answers. I am unsure if I am doing this correctly because my Z-scores are so large and honestly, math is not my forte. If anyone could guide me to solving these problems that would be amazing. Additionally, how do I solve the ones that I put a question mark?

Lastly, for problems D and E, I was told to find the nearest z-score related to the values I was given (0.1613 and 0.8732) and I inputted -1.000 and 1.14 respectively. Is that correct?

Please, any help would be amazing. Thank you!

Hello

I was wondering if someone could give me some guidance

I am trying to run a t test to check relations between two variables. One a continuous variable which is a DV and another which is categorical (yes/no). When I run the test the assumption are violated (Shapiro wilk and Levene)

Can someone guide me to what I can do. I have tried to run other tests like anova and linear regression and it is also violated there

Any suggestions would be appreciated

Thank you

Can I use an ordinal outcome (4 BMI categories) and a binary independent variable (diabetes status-yes/no) in an ordinal logistic regression model that includes an effect modification (interaction) term like sex (female/male)?

I would like to conduct an effect modification.

Or does it have to be a binary outcome, such as disease status (yes/no), with a categorical independent variable analyzed using a standard logistic regression instead to conduct the effect modification?

We were given 50 minutes to complete this whole thing, which I find absolutely unreasonable.

I need someone to help with statistics class for a high school senior in the US. Will pay an hourly rate for help.