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
I need to conduct a text mining and sentiment analysis on 2000 hotel reviews using SAS enterprise miner I have never done that before and i have never used SAS either. I have the reviews on an excel file already. I am looking for someone to teach me while i am doing the actual work.
I have an R project. Final deliverable will be a presentation and a 10 page paper. Timeline for this is 10 days. High level requirement will be to compute Value at Risk and pick a risk model to compute the risk associated.
The datasets like IEMOCAP, MOSI or MOSEI can be used to extract sentiments. Instead of all the three modalities, only 2 modality texts and visuals can be used to classify sentiments. Feature extraction with word2vec for text and openCV tool can be used to extra features from visuals.
Problem 1: We run an exam marking company and need help creating a statistical model for evaluating the 'inter-rater reliability'- between teachers that grade essays. By this I mean, if several teachers grade the same essay, how do we work out how reliable the marking is? This includes working out the mean, standard deviation, and "cronbach's Alpha". This will help u...
Hi, I need a specialist on power bi to upload raw data and convert into performance rankings and commission trackers for a sales business. Ideally someone who has worked as a data analyst for a large corporate previously. Thanks
I Need R subread, featurecount and edgeR help. Bid if you can do it. The sequence data is trimmed and ready for alignment and mapping. I need help in Rnaseq data analysis.
I will delete all copy and pasted proposals without responding. Hello, I will provide you two journal articles, you will critically evaluate one of the articles for statistical evidence and claimed based on the method of evaluation give in the second paper. You must be a very good writer and know quantitative research and statistical evidence. You will have to write a short report based on the...