Tips and Tricks.
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.Hire Statistical Analysers
Title: freelance statistics trainer Responsibilities: give one-hour training session to medical doctors on appraisal of journal staticists Qualifications: Phd in statistics or above Job type: teaching Employee must be physically in Hong Kong Pay: HKD3000 or negotiable Date: 7 December 2021 Time: to be confirmed Venue: training on zoom Company: Appollo Limited (providing professional training) PhD in statistics is a must! Must be based in Hong Kong
Minimum Requirements (further revision to be done upon finalization): Scrape all the tweets related to Covid 19 in India (approx 1 million tweets) Preprocess dataset Train-test dataset with ML models Potray full dashboard of sentiment analysis results of the tweets Minimum of 2-3 revisions upon further review
Just go through the article named Nov3(1).pdf. In this article there are tables no. 2,3 and 4 . We have to prepare similar tables from our data but we have to make it separate for males and females. Tables for the females quartiles of serum vitamin d concentration i am sending in the word file that you can check. Similarly we have to do the same for the quartiles of parathyroid hormone for males and females separately. Multinomial regression analysis has to be done for the for the quartiles of vitamin d and parathyroid hormone separately for both males and females.
I have a climate database in excel format. I need to perform a quality control of them, detect anomalous values, in order to be able to work with the optimal sample. The work must be done in RStudio, I am looking for a person who can do this work, providing the final product in excel format and the script with which he worked. I attach the data sheet
Knowledge of SPSS, academic referencing and biostatistics required.
Hi all! We have a model based on matrix multiplication. However, it has a few issues e.g. bugs and navigation issues. It needs to fixed. Lately, it has stopped functioning. To work on this, you need to be familiar with 1. Matrix multiplication 2. Tkinter/PYQT
The relationship between firm exports, size, productivity and skill/capital intensity
Hello We have 70-80 pages of research work in the field of economic and administrative sciences Working language: English We need help from an expert doctor, provided he is able to analyze using: Amos Spss His mission: 1- Prepare to explain the work, whether in recordings or Zoom lectures. 2- Evaluate the entire work and make the necessary modifications to improve it. 3- Controlling all the defects in the research that appear by reviewing it with the notes and recordings we send to it, as well as the supervisor’s notes. 4- Proofreading of the entire work. 5- Clearing the work of any copy or resemblance. 6- Assisting in making a section discussing the results, the conclusion, and most importantly the results and recommendations.
i need help with Report on statistical correlation of type 2 diabetes and cancer. i will provide the deatils in the chat.
I have attached an excel sheet need these below mentioned in 2 hours Values for these characteristics are in medians (IQR); the remaining represent n (%); 2 p-value is for Wilcoxon rank-sum test for difference in medians and Chi-square test for difference in proportions
I need some help with business statistics. Probabilities predictive analysis discrete variables sampling distributions hypothesis testing regressions libnear regression analysis non parametric methods decision theory I need someone who has a background in teaching me this who is business savvy and math savvy Thank you
The aim of the project is to acclimate you to the process of conducting research in modern machine learning or data mining: 1) explore and analyze large-scale datasets 2) understand and replicate existing literature in hot research areas 3) think critically about the existing work and discover their pitfalls 4) innovate on top of the existing work incrementally.
perform statistical analysis to the provided Dataset Using "STATA" program to compare two medical treatments, and: -write down observations - answer provided questions -provide screenshots of dataset and commands using the Stata program Please Read the requirements carefully for this project.
Hi guys, my name is Alex. I'm a founder of MLStack.Cafe. is the biggest hand-picked collection of Machine Learning, AI, Data Science & Python Interview Questions and Answers. For the last 3 years, we've grown from 0 to 140k monthly visitors and have happy customers in around 100 countries. MLSC mission is simple - to help Data Scientists, ML Devs and Dat Analysts to never fail their ML and DS interview again. Right now we're looking for a person who would like to join our team to find, refine, check and curate machine learning ad data science interview questions for a variety of topics including Big Data, Regression, Tensorflow, Pandas, Clustering (K Means and other), Anomaly Detection, R, Python, Neural Networks, Data Mining... you name it! Working for MLSC is a ...
In this assignment, W should be analysing a research paper and write an analysis. Research Paper Analysis: student will individually read a current, published (arXiv posting is OK) research paper (of their choosing, no less than 6 pages in length) in an AI-related field. You will write a short (3 pgs., double-space, stapled 12 pt. font) summary/analysis conveying the main ideas of the paper in your own words. The primary purpose in your summary/analysis is to successfully communicate that you have both read and (essentially) understood the main ideas of the paper. Please also include any follow-up questions you would care to ask the author, if given the opportunity; point out anything that wasn’t entirely clear to you in the exposition of the pape...
This is a retrospective study, we want to study the relation of hepatitis C treatment on DM control. A1C, FBS, US, and BMI were recorded prior and after treatment. Also, some data were measured and recorded once prior to starting treatment such as platelet count, albumin, liver enzymes, viral load, virus genotype and, transplant and comorbidities. I want two things: 1. Is the change in A1C before and after treatment significant? 2. What are the predictors of patients responding to treatment and having SVR (sustained viral response).
Hi, I am looking a sparring partner, who can help me identify a meaningful way to either validate or reject 3 hypotheses that I have about certain functions (time series, shared x axis). All the functions are highly correlated (Spearman, between 0.8 and 0.99) - therefore the 3 hypotheses are around that topic of correlation. Given the set of correlated functions, the hypotheses are: 1) One of the functions is leading, the other ones follow, but the following functions react with a higher swings (up and down) than the leading function. 2) There are times when the correlation of certain following functions breaks down. After a period they become again correlated to the leading function. 3) There is a time lag between the leading function and the reaction of the following functions. What ...
Hi, I am looking for experience person in ROS Gezebo who has worked on a drone model for path planning, Especially if able to reproduce the existing code from open source repo. Once we have a standard system we will modify to our requirements that I will inform to the person. For more information please mention your past experience and level of ROS Gazabo. Price for the project will very according to the work nature. However I would expect a reasonable counter offer. If you have any github or open repo to show please Citi your portfolio link for review. I will reply to the best person proposal. Thank you
I need econometric analysis performed using CAPM, the Fama-Macbeth procedure, and the Fama-French Three-Factor model, and Carhart Four-Factor model in Stata. The PDF is a sample of the required analysis. I will provide the required data. Only data analysis and interpretation are required.
Need an expert data analyst to train and revise with on excel, normal distribution, binomial distribution, ADJ R-Square, regression analyses, moving average, seasonalities, calculating a measure of error of the accuracy of a model:rmse, etc.
Hello, I need a research assistant whose fluent in English for a long term work relationship to help in conducting quantitative/qualitative research in the social science field and also help in editing research papers. More details can be discussed via chat. Thank you
looking for someone who is good in mathematics, algrebra, statistics, integration, differentiation Concepts include: Probabilities Bayesian Decision Theory Maximum Likelihood Estimation (MLE) and Maximum a Posteriori Estimation (MAP) Derivation Integration Bayesian parametric Estimation Expectation maximization and mixture desnsity estimation Supervised Learning non-supervised learning Neural Networks Stochastic Methods Bayesian Belief networks non-parametric methods clustering
Analysis regarding the forex market, commodities, crypto currency, and stock markets. I am based out of Slovenia, since the candidate have to work on flexible times. On screen monitoring and analysis of the markets mentioned above.
I have a small data set and I need to: 1. Provide a brief description of the dataset . 2. Conduct a univariate analysis for each variable in the data set using appropriate methods for summary statistics and graphical displays with interpretation. (The descriptive analysis should be as comprehensive as possible). 3. Conduct bivariate analysis with the purpose to understand the factors that may contribute in the identification of the type of breast cancer in the considered data set.