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.На основе 71900 отзывов, клиенты оценивают наших Statistical Analysers в 4.86 звездочки(-ек) из 5.
A real life problem related to pharmacy or the training centers in Egypt to be solved and reported by one of the Quantitative Business simulation models. The Word file MUST contain the following: 1- Explanation of the the simulation model that will be used to solve the problem. 2- The problem definition (Must include current situation, desired situation, the gap and how to over come it) 3- Probabilities and risk analysis of each one and the optimal solution and why we select it (Of course with controllable and uncontrollable inputs… etc.) IMPORTANT NOTES: - Not less than 10 papers with references. - Any source of data (like Excel sheet) should be provided with the Word file. - The problem must be related to a pharmacy or a training center in Egypt ( I kindly should know it befo...
Looking for an expert in Survival Analysis to determine the possible direction reversal in a time series data. This is a consulting task only. A good understanding of the R language is required. It's an urgent requirement and I want someone to start ASAP on this project.
We are looking for a Google Data/Looker Studio/Analytics Visualization Expert to help us track our performance by analyzing data and providing comprehensive sophisticated reports. (Please see the details below). Job Responsibilities Will Include: 1. Ensure and maintain data quality 2. Understand and develop data models 3. Provides business insights 4. Provides sophisticated reports 5. Conceptualizes and executes process improvement projects to increase team efficiency Qualification: • At least 3 years of experience in Google Data/Looker Studio • Work Experience in analytics / data science, operations or project management handling management reporting, business casing or operations tracking • Level of Knowledge: Graduate of any Engineering, Management, Statistics or Acc...
It is an ecology project that requires me to use Rscipt. The assignment is attached as follows. It would be under the Data Analysis section in the Word document and the Excel containes the dataset:
Looking for somebody to write an R code plotting the results of Synthetic Control Method (any ready SCM package from the internet could be used) for our assessment of tax policy with already extracted data
Its a very simple task for a person who is efficient in ML and Matlab, I will provide a sample of the dataset. More details, I will share when we discuss the project. New and young talent are welcome.
an assay has a CV of 15% for a standard reference, ie, the same substance tested in the same way in the same lab; all known variables have been controlled and yet there is still a CV of 15%. Supposing the assay variability applies equally to a test substance. Is it possible to estimate the chance of a false positive and a false negative from the variability for the reference and identical variability for the test substance? the reference is used to normalize results across different studies. How should I describe the risk posed by normalization to a reference that is so variable?
Hello, I need an R expert to conduct boostraping on two data sets which i will provide and answer the following questions: 1. Make pre-analysis of the data: check some moments and make an inference about the distribution of the data 2. estimate the differences between the two standard errors, compute the standard deviation, bias and 95% confidence interval with 1000 bootstrap replications. 3. just test if the difference between standard error is equal to 1, calculating the boot strap t statistics and comparing it with critical values of the standard normal distribution (maybe also add the percentile method for testing the Ho
I need 10 Jupyter/Python notebooks created that will run on a Binder server from a repository on GitHub. The notebooks will load time series data from a web API and display analytic analysis in the notebooks and will use Pandas and Matplotlib libraries and possibly others if needed and agreed. I have created a sample notebook that demonstrates the loading of data from the API and this notebook will be used as the basis of all new notebooks. The sample loads two time series into Pandas and creates daily and monthly frequency charts. I want to create 10 new Python notebooks showing easy to advanced analytics based on this sample notebook. Please note that users can change the datasets used in the report (and other parameters including frequency) so the notebook comments must help the us...
It is an housing price dataset where I already have build the models and compared them but I want to make changes to the model building . I'm looking someone who has advanced knowledge of R-studio and Knows how to apply log on regression model.
Looking for someone that knows match and economics to answer and calculate simple math questions on weekly basis it will be going on for 10-20 minutes per day for total of 5 days. Before hire one small test question task is avaible
I need some assistance with a cross cultural research on purchase intention of beauty products. I am looking for someone with profound knowledge in quantitative study, analysis etc
Project - Complete your own data analysis and create a presentation to share your findings, - Develop a dashboard for a Profit and Loss Statement. - Create a Financial Forecasting Model using three scenarios. You should start by taking a look at your dataset and brainstorming which sub-category and company you want to focus your data analysis on - the questions leading to this page should have assisted in this process! Then you should use spreadsheets or another Excel-like software to conduct your analysis and choose a sub-category and company you are most interested in. This project is open-ended in that there is no one right answer. __________________________________________________________________________________________________________________ Planning ahead These files listed her...
Looking for someone who can write for me Methodology for statistical analysis Its a technical writing job Thanks
I want report in latex format .
Please redo the analysis chapter by analyzing the attached NVIVO files. . Explain how I coded by using the data or the interview 2. How to decide on the code 3. Coded systematically see certain Partain using code to category? identify themes ? describe how you coded (is it theme coded ) how to decide on the code number of codes? How did I go about coding Why coded that way 4. With the data analysed from Nvivo how did you develop the theory. Step by step and where is the theory developed ? 5. the systematic approach to conduct the framing process results presentation 7. Frames results Also present all references coded 8. Relating the frame results to the participants attributes 9. Participants contributing to the frame perspectives the first frame results to the participants attr...
Need an expert in Python for Data Analysis Hello I need an expert in Python for Data Analysis on the given data. Please apply if you have the required expertise. No teams or companies please.