Tips and Tricks.
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!From 95789 reviews, clients rate our Statisticians 4.84 out of 5 stars.
Looking for Python Expert for my Project. Budget: $100. Deadline: 10th Dec-22. Project Details: Python Project Dataset Link: Attached csv Files: 1. 2. 3. Project Steps 1. Introduction o Define the business problem. Why do you think what you work on is important? o What do you plan to achieve with your project? o What is the primary goal of the project, and how will it help the business? o What are the implications of the project? 2. Describing Dataset o Where has the data been gathered? o What are the input and output variables? 3. Descriptive Analysis o Number of columns and rows o Percent of missing values by columns o Means, medians, modes, correlations, variance, outliers o Data visualizations such as scatter plots or correlation plots 4. Data Preprocessing o Variable treatment &se...
The project is for my masters. It includes to develop an optimization model for a real-life data set of interest, and to make comparison of operations before and after the recommendation given by the model. The project consists of a background about a real-life business case study, reviewing some recent related literature, necessary data for the modeling, developing or using an appropriate mathematical model, solving and analysis of the case.
Data analysis of behavior economics: Requirement: 1. Around 1700 words 2. Use State or R to write code, and generate images (code and images not included in the 1700 word count) Expectation: 1. Using the data to illustrate whether people follow the Bayesian rules (Bayesian theory and model included in Kamenica_BP_annual reviews) Additional requirement: 1. No need to include the variable "strategy_open_human" in the data analysis 2. No need to do paragraphs to review the models
I have 40 questionnaires that I administrated to the players consisting of 28 questions that involved sport-specific subscales. These included peaking under pressure, resilience, concentrating, confidence, mental preparation, and goal setting. from the results of these questionnaires, I have to create descriptive statistics for my results section. From the results, I want to see which skill was most commonly used by the players
THIS IS NOT A REMOTE OR MOBILE POSITION. YOU MUST BE A CURRENT RESIDENT OF Maui County to be eligible for this position. We are seeking well qualified tutors to teach K-12 math and reading comprehension to a variety of ages and grade levels. Applicants will be tested and must be able to demonstrate proficiency in high school math and Algebra.
Nuestra web es un retail, tenemos 1000 productos en stock y nuestro tiempo de reposicion son 90 dìas. Necesitamos una funcionalidad que prediga, acorde las ventas pasadas, cuànto nos durarà el stock de cada artìculo. Por ejemplo, si vendimos 100 de un artìculo en los ùltimos 90 dìas, y nos quedan 100 en stock, que la funciòn nos haga ver que ese artìculo se agotarà en 90 dìas y hay que reponerlo ya mismo. Conclusiòn, prediccion o pronóstico de ventas futuras acorde el historial de ventas. -- Our website is a retail, we have 1000 products in stock and our replacement time is 90 days. We need a functionality that predicts, according to past sales, how long the stock of each item will ...
We have a small dataset that needs someone who can make a presentation with ANOVA and other tests, and follow small checkpoints, PPT required with full info about the case, background, ... to a conclusion. approximately 20 slides total. Deadline soon! Skills Required Report Writing Analytics Data Science Academic Writing
Giving accurate and concrete information statistics on the most ravaging viral diseases in Asia. All records for different virus should be in different file. Training will be given.
I am looking for a senior machine learning engineer to help me with a medical data classification problem. I have about 6000 entries with about 30 features and I want someone to help me with the optimal way to handle the problem. The dataset is not going to be given maybe a part of it, and everything is going to be done after discussion. I will also need help with presenting the results
Requirements: Factor analyses Reliability analyses Regression analyses Test of Expectations/Hypothesis Discussion of results / Implications (Findings): cronpach' alpha, correlation p-value, Independent Variables: Security/Privacy Fulfillment/Reliability Customer Service Informativeness Website Design Customization Loyalty Intentions Satisfaction Control Variables: Usage Privacy Concerns
I am working on a project and it needs a report. The analysis was done on one of the data set of kaggle. Please let me know in case you can help.
We are looking for an efficient payroll clerk to be responsible for all tasks involved in processing payroll. The payroll clerk has a range of duties that include collecting timesheets, calculating wages, and ensuring employees receive their pay on time. To be successful as a payroll clerk you should be able to carry out all tasks with high attention to detail. Ultimately, a top-notch payroll clerk should be highly organized and possess excellent math skills.
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.
Prediction Model and Evaluation. The rationale for choosing a given model should be provided and discussed in detail. What steps were taken in the learning process for the model selection? How was regularization done? What was validation used for? Please provide detailed discussion. Learning Curve, Validation Curves should be provided. The process for selection of various hyper parameters should be detailed. Estimate for the out of sample error from the test data
So, I would like you to do some research and about the mathematical models of infectious diseases (e.g., COVID) and write a research paper based on it and make sure that you will use Calculus in your paper (derivatives, integrations). - Please read the attached document properly
Hello ? We are doing a group project on a study on the opinion of young users of INSTAGRAM ADS. We have a same study as orientation but here they asked about FACEBOOK ADS -> it's only for orientation. We would need the two attached SPSS outputs or tables but based on our findings. Here you can see our findings: And a written conclusion based on the findings of the SPSS output.
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.
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
Given a system of three equations with three unknowns derived from the method of moments estimation, I would like an example of how one can derive the variance-covariance matrix.
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...
I need an expert in Algebraic topology urgently (in 48hrs). For more details, please message me.
(3 to 5 paragraphs) The Information: Household surveys — most notably the U.S. Census as well as the American Community Survey and the Current Population Survey — are important sources of information in the United States. They provide policymakers with data to help them make decisions essential to nearly every government program, including those involving housing, law enforcement, and public education. At the most basic level, the U.S. Constitution requires that a count is taken of every American resident once per decade — data that is used to draw federal, state and local legislative districts as well as school district boundaries. They often go far beyond that, however. Large and nationally-representative surveys are a relatively fast and inexpensive way to collect thi...
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.
I will tell you the dataset from Kaggle, you will have to clean the data in a meaningful way, create 4-5 appropriate visualization, and apply the Regression model, Naive Bayes classification, and K-means clustering model in RStudio.