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
The job in short: Have you seen on some bars that you can order a beer from the table by scanning a QR code, thats sends you to a website, where you can make the order and pay. I want something similar, but instead of ordering a beer, the website will be used to send in a form. Objective: Create a very easy to use website that can be used to gather feedbacks from customers. Functionality: A business owner should be able to registrar an administrator user from the website. The capacity of his user-profile should be determined by the payment plan he chooses when registering. • Free trial allows 1 administrator user • Basic allows 1 admin users and the capacity to receive feedback from up to 10 customers. • Standard allows 3 admin users and the capacity to re...
I am looking for someone with expertise in Power BI, Please answer below questions to consider your bid 1) Can you share your previous work, Can you please send Power BI public URL if you published any work there ? 2) What is your hourly rate ? 3) Are you able to speak English ?
Assignment: Create report. Project description - In this assignment you have to collect data for Indian banks and have to do the same analysis as mentioned in the given paper . Hypothesis - Banks’ innovation performance positively influences corporate sustainability. Software - SPSS, STATA (If you can do with other software then let me know in dm) Report sections - Objectives, Methodologies, Results and Conclusions, References Price - 3000/- no of pages - 8-10 Interested candidates can dm me.
need a report writer who knowledge of sql, python, data analysis, supply chain
I have a 206 companies from stock market and i have a Risk Matrix contain (60% liquidity, 20% Volatility, 20% Net Income) and I want to validate my result and do a correlation and other factors that help me to support my study.
I have an otolaryngology surgery meta-analysis idea for a project
Need assistance in analyzing a data set 90+ records(stock return), these are not normally distributed so it is a little beyond my comfort level. We are looking for a way to analyze return data and produce a probability distribution to generate a user defined amount of 40 period (10yr x 4quarters)paths. The paths generated will be utilized in another model to produce expected returns. Our dataset has already been proven to have little/no correlation with the other projections. Deliverable would ideally be delivered in Python(jupyter) or Excel Please ask question or write something that let's us know that your response is not automated. Looking to hire quickly with quick turn around
I am seeking a long term partner who is able to construct institutional grade excel financial models. All data is in the public realm, and I will provide the format requirements . Please see below youtube clip for an indication of the 'style' of model I am looking to replicate - see this as the minimum, any other model outputs / analysis that you see think is relevant feel free to include. Do note that aesthetic style and presentation is important. Initially, as a test I will want a single model produced and we can take it from there. Longer term, intend to make dozens, so provided the first is satisfactory, this will be a supply of consistent work. To be considered, you must have past examples of DCF equtiy valuation financial models to submit as samples. If these are ok I will...
Discuss the analytic techniques used to analyze supervised and unsupervised learning. Provide an example.
Statistical Report - Two A-4 sides (data, charts, etc can be in the appendix) This a research based report with answers to the following questions. What is the population and distribution of landlords across the UK? What are the most talked about issues landlords face? Rank them based on cost, frequency, urgency to resolve, and wether it is regulatory or not. Describe if these issues are growing and what landlords are doing about them… What are the various solutions used by landlords to attempt solving the issues (create a matrix or map connecting issues to solutions and volume of landlord)? What are the current examples of outcomes? What are the platforms where landlords converge? Expectations: Must be fully referenced Data supporting report to be provided in excel worksheets All...
I am working on a random forest model on R. I have completed the model and when I plot, the frequency of the r-square values has a negative range to positive two range. I am not sure if I am doing something wrong with my r-square formula. the script was attached. line 195-197 is my r-square formula
Inviting applications for the role in Statistical Modeling Responsibilities · Data preparation and validation : ü Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data. ü Evaluate the statistical methods and procedures used to obtain data in order to ensure validity, applicability, efficiency, and accuracy. ü Identify relationships and trends in data, as well as any factors that could affect the results of the model. ü Using these techniques to identify the transfer function (adstock ,adbank or hills function). of the various media variables on Target by controlling multicollinearity, · Tools used for analysis : ü Processing large amounts of data using basi...
The project is really simple I just dont have time to do it, to be short, The project contatins 3 sections that u have to calculate mode mean medain and other things and create a pie chart and bar chart all on excel and then describe the graphs. One file shows what need to be done and the other is an example from another student. No word count for the comments just a few sentences for each section.
Hi all! Hope, you’re doing well. I’m a PhD student in Business Administration. I’m now collecting my data for my online questionnaire. Now I wanna hire someone who’s excellent at SPSS and especially Amos software. I need to perform some statistical analysis such as the measurement model (CFA) - Discriminant validity - SEM (model fit statistics) - path analysis and hypothesis testing. My conceptual model consists of 5 variables with 9 hypotheses. the data is already in Excel and SPSS.
I'm doing a research project to design several prediction modelling and compare them to achieve the best; I have numerous methods that I want to apply to conduct my analysis. The analysis required experts aware of using ArcMap/QGIS, Machine learning, and deep learning methods to achieve the project objectives. The Project needs to be done fast and in high quality. So, I need to develop spatiotemporal models that can get implemented for how the effective disease is going to spread over time and space "not classification". it can be done based on the location and the number of affected people each week, month and year. The required models are RNN, CNN, LSTM, TCN (Temporal Convolutional Network), GRU and a combination of this algorithm and cellular automata. in short: Through...
The project consist of below phases and weightage given in percentage. More details can be found in the attachment. 1. Project Proposal 5% 2. Progress Review 15% 3. Report 40% 4. Artefact-working model 40% guidelines for report and project proposal will be given separately.
Kernel smoothing in R is implemented by the ksmooth function. When applied to a time series, the problem with this smoother is that past smoothed values change as new input values are added. We need an update to this function or a similar function that does not change past smoothed values as new input values are added. ksmooth usesGaussian kernel, but any other kernel can be used that achieves similar results. The deliverable for this project is a well-documented R code function that will take an input array (see attached) and output the smoothed values that do not change as new points are added. Input and smoothed line should be plotted.