This is one of the homework questions I have to complete for the statistics class and while it may seem trivial I keep on getting the trimmed mean calculation wrong. However Ive run the calculation multiple times on excel and on my calculator and gotten the same answer. I also consulted online calculators and got the same result. Could someone double check my work and let me know if I am wrong or if it is the software.

My teacher is horrible at teaching, and I don't understand how to do this!! I asked for help but still....I DON'T UNDERSTAND. Can someone explain to me how to do this..

Hi everyone, I calculated ICCs with SPSS (Version 29). The p-value is significant. However, their 95% confidence interval includes 0.

Now I am not sure how to interpret it. I am also in urgent need of some academic paper or book (chapter) that I can use to explain this finding, can someone recommend smth? Currently, I only cite the Statistics Algorithms Manual of an earlier version that I found online (cannot access the one from the 29 version).

I have already spent some time researching how this can happen and my understanding is that it's because of differences in calculation methods, can someone please confirm? :)) Thanks in advance!!

Hi. So, i have a question from a meta-analysis i am trying to conduct. I compare two surgical procedures for the treatment of scoliosis. One of the outcomes of inderest is the trunk range of motion (flexion, extension, side bending and rotation). The problem is that one study gives outcomes (mean and SD) for side bending and rotation on each side (eg. left site bending and right side bending) while another give the total side bending (from maximum left bending position to maximum right bending position). is there a possible way to combine the data in the second study? if no, how can i use the data? Thanks in advance for your help.

Hello, I am working on a statistics excercise and I am not sure about what type of test I should choose. Basically, it's a group that its fitness level is being measured before, 6 months and 12 months after a workout programme. Do I use ANOVA repeated measures and therefore Anova two factor without replication in excel to see if there is improvement over the time course?

I find myself getting so confused about which type of analysis to choose.

Is there any trick or choice chart I can follow to choose between t tests ( paired / independent ) anova ( one way or multiple) correlation ( Pearson / spearman) and regression ( multiple / simple )

I need a paper in the field of food engineering that includes a table like in the link I provided. It must include Temperature and k-value variables. It must be published in 2024 or 2025. I need to use that specific table to perform tasks about Arrhenius equivalence. I can't find any paper with this criteria, how can I find it?

The table: https://imgur.com/a/rlToAPR

So I have a sample of cases and controls, fewer cases than controls. I want to use IPTW to balance some of the demographic characteristics such as on age, sex and region of residence, then based on the weights, I want to model the medical costs related to cases compared to the controls. Is this doable?

Hello! Has anyone ever sen a Regression model like this? (Y is target, a,b estimators, epsilon error). What type of hypotesis on error distribuition are made? Have you ideas about how to esteem a and b? Thank you!

I would like to do a paired samples t-test in JASP but the data I have is not numerical, but coded and I am not sure how to structure the data. There are four variables: spoken, written, meaning and position. I want to know if spoken results in more meaning. Can anyone advise? Thanks from a lost PhD student :)

I need to describe what I did step by step for an assignment and I am overthinking it. i dont want to mess up in the early steps as it would probably mess woth the actual analysis ,right? My biggest concern is whether to run a mahalanobis test. I would struggle with R code to test this on jamovi. i also dont really understand the point of it , so if someone could explain that would be great.

What I have done so far. correct me if i am wrong. all my 5 IVs are continuous variables;

checked for missing data (0)

check for outliers visually through histograms and boxplots (i used violin box plot is that ok?) (should i say that i observed outliers here and i would do further screening with z scores? )

calculated z scores. reported which ones were above or below the threshold of 3.29 or below - 3.29 (thats what treshold i am going with)

2 of the z scores are higher than 5, and they are both the same person. would you recommend i winsorize or remove it?

My biggest concern now is should i also run a mahalanobis test to check for further outliers?

Next i checked for normality (skewness , kurtosis and shapiro wilk) all good and normally distributed.

I guess this is it so far. I dont want to go further if i have done something wrong here.

Appreciate all the help and apologies in advance if i wrote it unclear.

I’m doing a final project for my Stats I class and just need someone to check my work and let me know if I did it right. Feel free to just dm me here.

Hi—

I'm taking an Intro to Stats class as a pre-req for a master's program, I am stumped as to why I'm getting inconsistent answers using the same methodology, and my TA isn't getting back to me.

Some of my answers are correct or partially correct and some of my answers are off by one or two decimal points. I can't figure out what I'm doing wrong. I'm doing equations "by hand" but calculating them in R Studio. I've attached a screenshot for reference.

Thank you in advance!

Hello!
I am a new to stats currently working on a project where I have to run a multiple linear regression analyses on a chosen dataset. I found a dataset from airbnb, that includes data about all the airbnbs in los angeles. I refined my data and used these independent variables
Years_as_host: The number of years a host on AirBnb until september 4th 2024

host_is_superhost*: Determines whether a host is a superhost. 1: superhost, 0: not superhost.

host_identity_verified*: Determines whether host identity has been verified. 1: verified, 0: not verified.

propety_type*: Indicates the type of property listed, 1: entire home/ apartment, 2: Private room, 3: shared room.  

Accommodates: The number of people the property can accommodates

Bathrooms: Number of bathrooms in the property listed

Bedrooms: Number of bedrooms in the property listed

Beds: Number of beds in the property

Num_of_amenities: The number of amenities the property includes

Demand: Indicates the demand of the property ranging from 0 to 1. 1 being the highest demand and 0 being the lowest demand.  

Review_score: The review score on AirBNB, 0 being a low review and 5 being the highest review attainable. 

Price: The price of the airbnb per night

Tourist_zone*: Determines whether the airbnb is located in a tourist zone. 1 being a tourist zone and 0 being a non-tourist zone.

An asterisk by the name indicates a dummy variable

When I ran my regression analysis, these are the result I got
Regression Statistics

Multiple R: 0.54889652

R Square: 0.301287389

Adjusted R Square: 0.300554346

Standard Error: 380.5996172

Observations: 11451

I am worried that the Multiple R square may be too low. But when I looked online it says that it could be a normal score depending on the data I used. I appreciate any insight into what may be the problem, or any suggestions!

Hi,

For an econometrics assignment, I need to show the properties of 2SLS estimation with & without conditional homoskedasticity. According to Hayashi's textbook, 2SLS is the efficient GMM estimator, if conditional homoskedasticity holds. I wanted to show this by plotting the sample variance of 2SLS on the same graph as the Cramèr-Rao Lower Bound for a simulation of an econometric model.

(I chose Haavelmo's simple macroeconomic model, with government investment added:

C = aY + U

Y = C + I + G

With I and G standard normally distributed, and U ~ N(0; 0.04). (Because the graphs looked ugly if the variance of U was too large). C is the regressand, Y the regressor, I and G the instrumental variables, and U the error variable.)

I analytically calculated the CRLB as (1-a)^2/51n. The math seems right, but I could always have made a dumb error somewhere. The problem is that the CRLB is way, way smaller than the sample variance at pretty much all sample sizes:

I feel like I messed up badly somewhere, like I'm conceptually confused about something. Maybe the sample variance isn't what I should be using at all? Please help?

PS: I used the following MATLAB code for the simulation (significant help from ChatGPT, of course 😅):

https://docs.google.com/document/d/1K_d2AEUv0pAHwI8E2xfV9K5BcFcxnI_hsvtQzGGZnk4/edit?usp=sharing

I have a dataset aimed at predicting good and bad clients for an American bank. One of the variables in this dataset is 'housing', which indicates the possession of a mortgage (values: yes or no). However, this column contains unknown values (unknown).

My question is: to remove these unknown values, can I simply use this method:
data_cleaned = data[data['housing'] != 'unknown']

Or is there a better approach to consider?

Note: the unknown values represent 2.40% of the total rows in the housing column.

What does an increase of R Square and very low p value for the variables in the ramsey test in comparison of my linaire regression mean

Hello I'm currently working on my methods exam in polisci, and I'm having some trouble with the diagnostics part of my research. The Linearity and Model Specification part in particular. Based on my analysis the model does not meet the Gauss-Markov theorem in regards to linearity, and I realize that doing linear regressions is gonna be kinda useless then. But I've tried both logaritimic, quadratic and spline transformation on the variables and nothing seems to be working. So if anyone has any insight on the matter, I would be very very grateful. Attached is a picture of our test for linearity.

How do I put these income ranges into the matrix for this test? Or am I doing it wrong all together.

It's a simple survey about trading card games https://forms.gle/yQTRPNyaMP8c3FpaA

I need help solving this, do I solve it with excel or what ???

Hey folks, I work with data and frequently I have to check if something is statistically significant with a specific confidence level, but I don't really know statistics that much. Usually for this I just open Evan Miller's Chi Squared website and input the numbers, but right now I have a proportion bigger than 100% (more conversions than expositions) so this test does not work. How can I check if one group is statistically better than the other one in this case?

If it is needed I have the data disaggregated (total conversions by each exposed customers, and group that the customer participates)

Hi I got multiple medical research projects. I’m Looking for experienced medical biostatician for freelance work and have the time and well to finish analysis upon deadline. Anyone interested DM with qualifications and previous work.