# 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.

Ud fra 62868 bedømmelser, giver klienterne vores Statistical Analysers 4.86 ud af 5 stjerner.Læs mere

Its a combination of a literature review and data set analysis. You are required to write a 2000-words report that provides insight on ethnicity pay gap issues in the UK. You will use the secondary data provided for your analysis. Your data will be analysed using appropriate software packages (i.e. SPSS/NVIVO/Tableau) and be visualised for easier interpretation. All the required information and breakdown of the write up is contained in the assessment brief please read through very carefully. There should be at least 20 references in the reference list and good intext citations and they should be written in havard format. Also the assessment should be completed in 96 hours (that's including the weekend) because I will need time to review before submission. Thanks.

I need a SAS expert for small task, will share details in chat

Deliverable: 1. formatting of incoming data piplines from SCADA to a clean dashboard in exportable format 2. Data cleaning and preprocessing to make dataset easily manageable 3. Data insights on Downtime, correlation between wind speed, location, and other factors in dataset 4. Windmill general statistics for describing condition 5. Outlier Identification in all variables with reasoning if any More data availbale than mentioned in screenshot. to be disclosed after agreement

• A questionnaire has been administrated to measure personality traits according to gender. • Per group of 2/3 students • Prepare the entire dataset in full: Indicate the correct measures, find if/where there are missing values, indicate impossible values as missing in variable view, and identify outliers as missing in variable view • Plot and interpret a boxplot for happiness split by gender • Run a factor analysis on personality variables (pers 1 - pers 17) • Make summated scales from factors that you will retain and give them relevant names • Calculate the Mean and SD for the new factors: • Total sample • Only for women • Split for age (2 categories) & plot and interpret the relevant graph to show the results of this statistical anal...

i have 4 months of data of my daily sales in my coffee shop and im looking for someone with experience in data analysis in the coffee industry or the food industry that help me to analyze and provide me with a non excel expert summary of reports, so i can know be able to read and understand my results and performance.

• A questionnaire has been administrated to measure personality traits according to gender. • Per group of 2/3 students • Prepare the entire dataset in full: Indicate the correct measures, find if/where there are missing values, indicate impossible values as missing in variable view, and identify outliers as missing in variable view • Plot and interpret a boxplot for happiness split by gender • Run a factor analysis on personality variables (pers 1 - pers 17) • Make summated scales from factors that you will retain and give them relevant names • Calculate the Mean and SD for the new factors: • Total sample • Only for women • Split for age (2 categories) & plot and interpret the relevant graph to show the results of this statistical anal...

I need to develop an excel sheet that will give me a customized training program and a nutrition plan based on the date i will provide and it will be automated with a click of a button. Just so we know if we understand each other, this is what will happen: 1. I send my clients a survey for them to fill and the main points from the feedback which i will use are the following: * Calories intake (i will calculate it based on height, weight, age, body fat % if known, active level) * Macros intake (for example: 20% fat, 40% carbs and 40% protein) (every 1g of protein is 4 calories, same goes for carbs and 1g of fat is 9 calories) * Type of food they want (for example: chicken, pasta, red meat, eggs, etc) they pick it from the survey * Workout at gym or home * Number of training days * Muscles...

Clear the excel with what is required and do asked statistical analysis

• A questionnaire has been administrated to measure personality traits according to gender. • Prepare the entire dataset in full: Indicate the correct measures, find if/where there are missing values, indicate impossible values as missing in variable view, and identify outliers as missing in variable view • Plot and interpret a boxplot for happiness split by gender • Run a factor analysis on personality variables (pers 1 - pers 17) • Make summated scales from factors that you will retain and give them relevant names • Calculate the Mean and SD for the new factors: • Total sample • Only for women • Split for age (2 categories) & plot and interpret the relevant graph to show the results of this statistical analysis • Send the .sav and .do...

im looking for someone to help with r language.

Healthcare related project I need assistance with analysis plan and analysis of the data once accessed

1. Empirical Development Report in R (50%) • You will be assigned a data set from a development issue • Conduct a quantitative analysis using appropriate methods in R or Stata • Write a short report (~2.000 words, 6 pages) presenting and interpreting the results • attach your R-script 2. Empirical Impact Evaluation Task in R (50%) • You will be assigned a sub-sample of a data set from a real development project • Conduct an impact evaluation using appropriate methods in R • Write a short report (~1.250 words, 4 pages) presenting and interpreting the result

Empirical Development Report (50%) - You will be assigned a data set from a development issue • Conduct a quantitative analysis using appropriate methods in R or Stata • Write a short report (~2.000 words, 6 pages) presenting and interpreting the results • attach your R-script Impact Evaluation Report (50%)- pirical Impact Evaluation Task in R (50%) • You will be assigned a sub-sample of a data set from a real development project • Conduct an impact evaluation using appropriate methods in R • Write a short report (~1.250 words, 4 pages) presenting and interpreting the results • attach your R-script

I need to run a code on R and I need an R programmer to look at the codes.

Hello. I want to use multilevel modelling to see if an intervention had an impact on mental health of mothers. My data is in stats.

Accounting Research can be published in Emerald or Elsevier the research must contain inferential statistics analysis pilgrim not more than 7% the suggested topics are accounting and blockchain accounting and artificial intelligence accounting and machine learning accounting and big data analysis

looking for someone with strong derivate ,probability and statistics concept

Given a dataset of about 35 rows the task involves using iGraph to plot some graphs. The task requires basic R commands

Amendments and evolution of Business development and leasing model. We work in a real estate company and are looking to update, amend and evolve our development models. The candidate/ team requires excellent modelling capabilities and an understanding of financial modelling. Modifications to the cashflow model, development modelling, and leasing modelling in relation to real estate. The work will be followed by a commission for future monthly updates to the model and other excel based work required.

cross validation, shrinkage method, dimension reduction, GLM, GLM case study, Classification approach, Imbalanced data, Neural network, Tree based method

It is a study that looks into the knowledge and competance of junior doctors concerning the electrocardiogram (ECG). The ECG is a bed side investigation that can be used to diagnose a wide variety of abnormalities regarding the heart and can give valuable information including life threatening conditions whose management is very time dependent. It is important for medical students to master pattern recognition that can be seen on the ecg and be able to diagnose and manage these conditions appropriately. Having said that, evidence shows that doctors in general are lacking this efficient skill of interpreting the ECG and in addition to that, there is no standard learning curriculum as to which ECG conditions / diagnosis need to be taught to medical students. In this research we use the...

Perform basic arithmetic operation on data frames using loops and joins

Need a STATA expert. I need a person who knows Stata.

Need a STATA expert. I need a person who knows Stata.

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using bench mark tool to evaluate python code and find some calculations

I need help on Cox regression with --cubic spline --peicewise --Weighted Estimation in Cox Regression --Calibration Curve -- Any extra analysis smart plots would be very good about cox regression I need codes all in python maybe R would be fine

Write solutions to my 18 questions of Data Science & Statistics assignment (a few questions requires Python) (Find the complete assignment in the attachment below) For EXAMPLE: Bayesian Regression/markov chain 1 GENERAL REGRESSION PROBLEM In the Bayesian viewpoint, we formulate linear regression using probability distributions rather than point estimates. The response, y, is not estimated as a single value, but is assumed to be drawn from a probability distribution. The model for Bayesian Linear Regression with the response sampled from a normal distribution is: The output, y is generated from a normal (Gaussian) Distribution characterized by a mean and variance. The mean for linear regression is the transpose of the weight matrix multiplied by the predictor matrix. The varian...

SAS ENTERPRISE MINOR REQUIRED URGENTLY

I need someone to create an excel based model which will have multiple nodes and transportation lanes within the network. It's kind of volume forecasting model. Data size will be around 500 rows and 200 columns. I'll discuss and guide on what is needed in the model. Good excel skills are a must.

to provide stress analysis report as per attached example, analysis to be done in according to the euro code and 4 loading shall be carried and each load should have single report Passenger Cars Medium vehicle Forklift Cherry picker/Scissor lift the below report is attached for reference, the system which need analysis will be provided in 2d AutoCAD only handing over is sharply today

Machine learning expert needed for Stock Market Forecasting Hello looking for Machine learning expert to work on Stock Market dataset dataset which we use from Kaggle

Job Description: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Job Requirements: BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred. 3-5 Years of proven experience as a Data Scientist. Experience in DataRobot or any similar tool Experience in data mining Understanding of machine-learning and operati...

I'm interested into the development of a system that get real time data and perform robust financial analysis for intraday and scalping on forex. Required knowledge in python, machine learning, financial, algorithmic trading, data analysis. A plus if also a trader with proven experience.

I need to run a code on R and I need an R programmer to look at the codes.

ALL REQUIRMENTS ARE IN THE FOLDER, PLEASE chat with me only if you have STATA packagae

I there I am working on a personal mile set and I need some collaboration from a professional in stats to help me develop and reach my goals some of the knowledge you should have is: Sample, Populations, Parameter, Statistics 1.2 Data Collection 1.3 Location measures 1.4 Variation measures 1.5 Discrete and Continuous Data with examples 1.6 Representations of data (Histogram, Bar chart, Pie chart etc) 1.7 An idea of designed vs observational study : 2.1 Sample space 2.2 Events 2.3 Counting methods (permutation and combination) 2.4 Probability of events 2.5, 2.6, 2.7 Basic Probability rules : 3.1 ...

As a Data Analyst you are responsible for triaging product and business problems as they come up. In many cases, these problems surface through key metric dashboards. The purpose of this exercise is to give you an opportunity to demonstrate structured thinking and ability to analyze datasets and make recommendations to solve problems. The problem Helium 10 is a platform that Amazon sellers can use to thrive / grow their market. You can use the free version/extension to explore data on the site. You will be using helium10 for the analysis and solving four problems, · How do Helium 10 features drive user growth, revenue and retention? Tip: You can take a few features like Keyword search, and walkthrough the details. · If Helium 10’s monthly re...

testing the feasibility of a digital device for subtance Use Disorder Patients in an inpatient clinic. Patients will be utilizing a digital device multiple times during withdrawal. Several variables will be measured from patient questionnaire as well retention in treatment. Statistician must have human subjects in research training certification.

El Problema Tenemos diferentes tipos de contratos (Fianzas), son documentos legales que contienen datos que varían dependiendo del cliente y del tipo de negocio a Afianzar los cuales se presentan en diferentes formatos de documentos. Dependiendo del tipo de contrato se piden datos diferentes y estos se deben plasmar en modelos de contratos diferentes. Algunos de estos modelos son estándares y algunos cambian según el contrato. Esta variedad en los datos que ingresan y en los documentos que se generan hacen complicado automatizar el proceso con técnicas de programación tradicional. Pensamos que utilizando técnicas de Machine Learning (ML) podemos resolver este reto. La Solución Basados en la metodología de PMV se escoger&aacu...

Job Responsibilities: Analyze how campaigns are performing, where we should be spending more money, channels, etc Run datasets to identify the best performing campaigns Identify trends in marketing data and take actions accordingly Predict high-value users Job Requirements: Bachelor’s/Master’s degree in Computer Science (or equivalent experience) 3+ years of experience as a Data Analyst or Junior Data Scientist Capable of analyzing burst tests to forecast CAC increases Proven ability to work with team members and cross-functional partners in a highly collaborative environment Excellent communication and organizational skills

Hi, I am looking for someone who is professional in mathematics and knows very well Probability, stochastic and statistics. I have to understand these subjects and i have questions that i need to solve. Its also great if you are professional in R programming.

Job Responsibilities: Analyze how campaigns are performing, where we should be spending more money, channels, etc Run datasets to identify the best performing campaigns Identify trends in marketing data and take actions accordingly Predict high-value users Job Requirements: Bachelor’s/Master’s degree in Computer Science (or equivalent experience) 3+ years of experience as a Data Analyst or Junior Data Scientist Capable of analyzing burst tests to forecast CAC increases Proven ability to work with team members and cross-functional partners in a highly collaborative environment Excellent communication and organizational skills

Need to figure out how to do ssh commands in R at its most basic level and from there you need to figure out how to use that to connect to EDAP

R programmer needed - expert , Details will be discussed.

R programmer needed - expert , Details will be discussed.

I need the R shiny coder for long term job. Only experienced vendor bid. Details will be discussed with winning bidder.