# outlier

1. ### Calculating outliers with data sets containing two group

Hi, I have a data set containing two groups labelled as either HFD or HFDS, example below: Treatment Mass -------------------------- HFD 0.56 HFD 0.78 HFD -1.3 HFDS 1.4 HFDS 0.23 HFDS 0.10 I want...
2. ### I have a large distribution of paired percentages. Is there a best way, or any way, to test for sig. different pairs?

These percentages are based on RNA sequencing count data for which replicate values have been merged and transformed to these percentages (which represent average lengths, not counts). But since the replicate data has been lost in the transformation to %, I'm not sure if I can still test for...
3. ### Outlier analysis in CFA - Generalized Cook's Distance

Hello everybody, I'm running a cfa with the correlated factors and 14 indicator variables in R. For my multivariate outlier analysis I chose Generalized Cook's Distance. The result is: 10 outliers with a range from 1 to 50. To be honest my problem is that I have no idea 1. how to interprete...
4. ### Outliers Parametric model

I'm struggling to decide how to normalise my data for modeling. I am dealing with crowdfunded projects and a huge chunk of them (15%) raised $0 -$10 dollars, therefore failing. Those produce a very strong positive skew that is impossible to normalise. (tried log, z-scores, cubic). And will...
5. ### outlier in robust regressiom

hi, I dont understand with this statment. "robust regression can be used to detect outliers and to provide resistant (stable) results in the presence of outliers" what the meaning of " to provide resistant (stable) result inthe presence of outliers"? what the meaning of "resistant" in...
6. ### Outliers in categorical data?

Hello! I am working on a pre-analysis plan and have to specify what I am going to do with outliers. I have two categorical variables (5 levels and 2 levels) and I will be performing a chi-square test for independence. I thought of using a boxplot to detect outliers, but now I am not sure...
7. ### Identify Outlier

Hi, I need help to identify outlier for my research project :) Model: 2x2 moderated mediation 1.) IV: both are nominal (rich vs. poor & public vs. privat) --> 4 scenarios were created -- one of the IV is a moderator (public vs. privat) 2.) two mediators (interval scale) 3.) two DVs (interval...
8. ### Hello from a newbie

Hi folks, Just checking in as new member. I am a geologist and interested in environmental statistics. I've taken no formal course in this field, so seeing experts in this forum gives me hope in learning more. (The jargon is just overwhelming!) If am able to contribute data and what I've...
9. ### Determining outliers

Dear folks, I am interested in statistics but I never had a course in college and I've had to learn a few basic things myself. This time, I am working on something that is beyond my comprehension. I have a set of environmental data (20 soil samples) which I am playing around with. (See below.)...
10. ### Probability highest value is not part of population

Hi I've got a very simple problem but I don't know what test to use and I've been searching without success so I'd very much appreciate some help. I have 61 values as shown below. The average is 0.159, the SD is (0.924). What I want to know is what the chances the highest value (~2.46) is...
11. ### Weights for weighted mean: Do these weights make sense?

I'm attempting to weight a mean to make outliers less impactful. I know people use a median here often but am looking to try to make a mean that's rbust to outliers. That is the further an observation is from the mean the less weight it has. I'm sure this has been done before. In...
12. ### Regression problem: How we can Ignore Outliers in a regression analyses??

[Minitab 16]Regression problem: How we can Ignore Outliers in a regression analyses?? Hello I want to draw a simple linear regression chart in Minitab and I want to find The regression equation. I use two column of data and this path: Stat>>Regression>>Regression... Minitab shows me...
13. ### Cross-estimating the independent variables to exclude outliers

I am working on a dataset where some of the independent observations have measurement issues (i.e. mixed feet and metric). I'm considering cross-estimating all the variables to exclude outliers before building the actual model. In other words, a method for defining and excluding outliers and...
14. ### Transform data for outlier analysis?

Hey everyone, I have a data set which is log normally distributed and want to detect outliers, so far I used a threshold approach: vector contains the values of interest. outlier detected if: value > ((2*(median absolute deviation(vector))/0.6745) + median(vector) My problem is: is...
15. ### [FAQ] How do I remove or deal with outliers?

How do I remove or deal with outliers? Removing outliers can cause your data to become more normal but contrary to what is sometimes perceived, outlier removal is subjective, there is no real objective way of removing outliers. The problem, as always, is what the heck does one mean by...