Statistical Analysis refers to the science of analyzing numerical data relating to groups or experiments. It deals with the analysis and interpretation of such data such as those of survey results and experiments. Statistics analysts deal with probabilities, distribution, bell curves, etc. for analyzing statistical data. If your business involves conducting surveys, studies or other such market research, you will need statistics analysts to analyse and interpret the data. You can find freelancers who are able and willing to do statistical analysis for your business. Simply post a job today!

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    HI, attached are the history question papers of the last 10 years ( 2012-2022), a specimen question paper of 2023 ( released by the ICSE Board ) & the syllabus of 2023. Have noticed a pattern in Part 2 Section A ( answer any 2 out of 3 ), Even years ( 2012, 2014, etc. ) had questions on President, Supreme Court & Lok Sabha, Odd years ( 2013, 2015, etc. ) had questions on Prime Minister/Chief Minister, High Court & Rajya Sabha. Need help recognizing other such patterns &/or sequences in the data set & precisely predicting the questions/topic from the syllabus with the highest probability in 2023. Note: Other subjects to follow.

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    I need help with the Range of projectile theoretical compared to measured distance using Minitab Statistics. i will share more details in the chat.

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    statistics 6 siku left
    DHIBITISHWA

    Any Research paper in statistics

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    • 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...

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    Data analysis 6 siku left

    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.

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    • 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...

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    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...

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

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    • 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...

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    R programming for data science 6 siku left
    DHIBITISHWA

    im looking for someone to help with r language.

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    Hi there! We are a big company looking for Data Analytics for our projects. We will test your skill before starting work with real projects, so, you will complete this part of the test (of course we will pay). This task is very hot and we have left 44 hours for completing that Capture "I am ready to start now" in the cover letter. That will show us that you read the description. Candidates without capture will not be considered.

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

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    Solve aptitue and logical reasoning 20 question compettion question 2 min high speed

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    I am working on a dataset and am able to answer few of the questions already however struggling with remaining. Hence, need a R programmer who can validate the work I have done and help with the work that is left.

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    Data Analysis with using R 5 siku left
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    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

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    Power bi charts 5 siku left
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    I need someone who expert in power bi charts

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    Project using R 5 siku left
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    I need to run a code on R and I need an R programmer to look at the codes.

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    Multilevel modelling. 5 siku left
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    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.

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    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

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    Finance Project Needed 4 siku left
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    - Quantitative methods for accounting & finance - Subject Knowledge is a must - Regular work if this goes well.

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    looking for someone with strong derivate ,probability and statistics concept

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

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    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.

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    R_studio Expert needed 4 siku left
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    cross validation, shrinkage method, dimension reduction, GLM, GLM case study, Classification approach, Imbalanced data, Neural network, Tree based method

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    R programming project 4 siku left
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    Perform basic arithmetic operation on data frames using loops and joins

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    Need a STATA expert -- 2 4 siku left
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    Need a STATA expert. I need a person who knows Stata.

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    Need a STATA expert -- 2 4 siku left
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    Need a STATA expert. I need a person who knows Stata.

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    I want to migrate SAS code to python

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    I am looking for Experienced Forex trader who can place bids and make money out of bids. Model of payment is revenue share based on profit gained from trading. Trader will proposed daily investment, bids and projected profits Bidder must have similar exprerience and should send evidence of similar experience while bidding.

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    Survival Analysis Cox Regression 3 siku left
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    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

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    Text to knowledge graph project 3 siku left
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    Hi i am looking for developer whom have experience of python,ml,knowledge graph. I will explain details after.

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    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...

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    SAS ENTERPRISE MINOR REQUIRED 3 siku left
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    SAS ENTERPRISE MINOR REQUIRED URGENTLY

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    Math B task -- 2 3 siku left
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    Math B task with around 10 questions.

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    If you are good at data analytics and an expert in python, please let's talk

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    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.

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    Biomedical Domain Deep Learning Python Requirement: 1. Need to complete it by one day if possible, 2. Need to fix it based on objectives Skills required Deep Learning, Python ?SmTopazal from Balakong , Malaysia

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    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.

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    non-linear 2 siku left
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    run non-mathematical by lingo programming with my own data

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    Excel programming (probabilities) 2 siku left
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    I need someone who is good with excel for a quick task. i need some simulations should not take you long

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    R programmer 1 siku left

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

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    Premise: Given that streets are finite, yet fluid (construction, renaming, traffic directional flow, changes of traffic lights & signs, incorrectly drawn roads, etc.) Google set-out and achieved GoogleMaps. Q: Given that family compositions are finite, yet fluid (births, deaths, marriages, divorces, gender changes) How would you set-out to achieve a family composition map based on race?

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    Project using STATA 1 siku left
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    ALL REQUIRMENTS ARE IN THE FOLDER, PLEASE chat with me only if you have STATA packagae

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    Statistics for engineering 21 masaa left
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    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 ...

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    correcting formulas and explanations of information algorithm theory

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    Hello. I need a senior web developer to build an advice website. - advice for business strategy. - analysis for the amount of sales. - estimation for every month - real time tracking for customer information. I need senior web developer for our business. Our business is to improve AI devices and other devices. Our estimation is open. To prevent copy bidding, please add your name and age in front of your proposal. I am looking forward to working with you. Thanks for your time.

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    Data Analysis 15 masaa left
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    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...

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    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.

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    Data Analyst 6 masaa left

    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

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