# Statistisk analyse Jobs

Statistical analysis is a mathematical science, the practice of evaluating and understanding quantitative data. Statistical analysis will make sense of indexes such as standard deviation, and note outliers. The analysis of the data may aid in decision-making in the face of uncertainty.

Quantitative data is represented as numbers, and therefore may be presented in graph format. This simplifies the explanations and visualizations of the data’s meaning. The graph alone will show a positive or negative correlation, a bell curve, or no correlation at all.

Statistics require a population to be studied, and statistical analysis is commonly used regarding census data organized by governments, sociology and medicine.

From 69,698 reviews, clients rate our Statistical Analysers 4.85 out of 5 stars.Ansett Statistical Analysers

I have got an excel sheet that I use to predict the corner kicks that are going to be taken on soccer games. I need someone to test the system in over 2,000 soccer games from different countries, leagues an divisions. All of the games used for the test must include the asian line for corner kicks that Bet365 gives. Once the test is finished I need the results to be analyzed to find out which parameters are useful for betting. Feedback about the model would be awesome.

To solve problems related to the Bayesian Analysis, for example, manually calculating the frequentist estimator, posterior mean and variance, etc. and the R code for the same.

Looking for a consultant to help us understand methods for determining the uncertainty associated with models we use in the semiconductor industry. Our models are multivariate and nonlinear, but they are trained on input data collected from semiconductor fabs, and for each of thousands of samples (with different characteristics) measured, there are multiple repeat measurements done across some spatial domain such that the mean values for each characteristic are entered into the model training, but in some cases the 95% CI associated with determination of each mean value is also known. We are trying to understand generally how to determine the MODEL PREDICTION 95% CI for the two scenarios of a) only mean values input to the model and b) both mean and 95% CI for measured input data are ava...

We are looking for a process mining expert/developer with the ability to support defining and building the data modules, required data analysis and dashboards on demand. Knowledge required using tools like Celonis, SAP, Basware, ServiceNow, Google Big Query and Salesforce and a deep understanding of business processes like Procure to Pay, Order to Cash, etc. Minimum 3 years of demonstrable experience.

I need a NEW Freelancer with good experience in SPSS, T test, APA format Tables with Tests I need from Pakistan. I need work for long term

Need me with a problem related to python, regression, Matlab urgently

Hey there, I am looking for someone who has experience analyzing complex data qualitatively. You will be provided with: - Detailed elaboration and quantitative analysis in the form of T-Tests, EFA, CFA and SEM (Structural Equation Modeling) - Data collected for qualitative analysis Requirements: - Your job is to build arguments based on collected data in the form of interviews (transcribed) to support Quantitative Analysis (In other words, you'll be working Qualitative Analysis). - Though you're required to work on Qualitative Analysis but you MUST be aware of technical terms related to T-Test, EFA, CFA and SEM that will be required for you to understand Quantitative Elaborations and Analysis. - You're required to add arguments in the form of Supportive / Descriptive / ...

Contact me i need a person data analysis its urgent.

Advertisement: Greetings Freelancers, I am looking for an experienced individual or team to conduct a project on "Measuring Trends in Crime Rates Over Time". The aim of the project is to answer the following questions: 1- What are the most common methods used to measure crime rates over time? 2- What impact does technology have on the measurement of crime trends? 3- What are some potential causes of changes in crime rates over time? 4- How do crime rates in urban areas compare to those in rural areas? 5- How have crime rates changed in the past decade? 6- How do crime rates in different countries compare, and what factors may influence these differences? 7- What role do economic and social factors play in shaping trends in crime rates over time? 8- What strategies can be used t...

Details will be sent in the chat. 7 pages

I am analysing my data in R i have already a script for logictic regression with binary outcomes, in my data i have 4 outcomes so most probably i need to do a multinomial logistic regression. I need someone who can assist me with a multinomial logisitic regression analysis

Need a Power BI expert to hire for a long term.

Looking for a PhD in econometrics or an equivalent degree to work on a complex statistical analysis project.

District 8, Rainfall (mm) Year 1991-2920 (30 Years) Methodology::- Principal Component Analysis Please see Material Methodology: Application of principal component analysis to understand variability of rainfall R N IYENGAR

My daughter is at university and is struggling with R, she has a project to get in and needs help please!

Hi I need some help to run a couple of SEM's using LISREL, AMOS, Mplus. Basic model structures attached. Needs to be a CB-SEM not PLS based. Also require all the main sig tests. This is pilot data for a larger study to follow

I need a report on sagemaker vs sas viya, pros and cons of sage maker vs sas viya, what you can do with sagemaker cannot be done on sas viya and vice versa, pls help

Task is to critically review a publication in a "letter to the editor" format before to submit it to the journal. The questions to be answered are: a) Is the letter appropriate and scientifically substantiated in the required way? b) What could be changed to improve it in this sense?

I need a freelancer proficient in Rstudio, LaTeX.

Writing a 6 page technical report for a topic of ML models

CFD Analysis with the refined CFD prediction model, for wind direction, speed combinations agreed mutually. Further details will be shared after discussion and Non Disclosure Agreement signoff.

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Buna! Am nevoie de prelucrarea unor date obtinute in urma aplicarii a doua chestionare adresate unui nr. de 100 de subiecti. Datele sunt introduse pentru 4 ipoteze. Din pacate timpul ma preseaza si as avea nevoie fffffff urgent (undeva pana duminică 05.02.2023)

I have attached the project from a pdf. NEED THIS IN R Programming

I have Python code using GAN model. I need convert it to R code using torch. if you are expert for R, Python, GAN and torch, please start your proposal with "EXPERT".

Looking for a statistics expert to do a work project

I need a data to be analyzed using Exploratory, confirmatory and Principal Component Analysis in R and the results to be interpreted.

Looking for a trainer who has good knowledge on Python , Statistics, Data Analytics concepts , Data Visualization, Tableau , PowerBI etc

I need help solving a few questions related to RStudio and statistics. The person must be knowledgeable and able to assist immediately. Speaking French is an asset.

I need an Excel expert who knows how to use Excel Data Analysis Add in, as well as how to calculate probabilities to solve the items within the file. Inside are the instructions. Only bid if you can start right away. It should not take more than 2 hours for an expert.

The Insight Analyst provides an analysis of data from a variety of raw data sources, to deliver actionable and valuable insights for our clients. Providing day to day analytical support for our proprietary availability software, the Insight Analyst proactively identifies opportunities and insights for our clients. As Data Insight Analyst, you will take on your own analysis projects, evaluating fundraising campaigns and other charity initiatives, and identifying actionable insights that can make a measurable impact on Mind's supporter engagement programmes. Technically skilled. It is essential that a customer insight analyst has strong numerical and statistical skills. ... An adept problem-solver. ... A curious mind. ... Empathetic and customer-centric.