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.Contratar Statistical Analysers
We need the statistician to: Calculate the ROC and provide the ROC table and graph Calculate the AUC and provide the graph Provide the results of the normality test (based on the hypothesis) Doing the suitable test (T student, Anova….) (the reason of selection must be explained) If ANOVA was used post hoc test must be performed (we prefer Tuky test) Note: If we used parametric test, the data that must be provided are as following, mean, standard deviation, standard error, percentage, confidence intervals, Confidence range, P value If we used non parametric test the data that must be provided are as following, median, range, percentage, Confidence interval, Confidence range, and P value The statistician should have prior experience as well and can surely provide this task as so...
I need help with analysis of repeated measures data collected from laboratory thermal tolerance trials using aquatic organisms, including a justification of the parameters chosen for the analysis and thorough description of the procedures. I use SPSS.
I’m conducting research on the Managing Risks of the Grand Ethiopian Renaissance Dam Project Based on PMBOK Standard. The study seeks to answer the following research questions: - •What are the Risks of GERD Project on Egypt? •What are the highly ranked Risks of GERD Project on Egypt? •What are the Risk Magnitudes of the Risks of GERD Project on Egypt? •What are the proper Risk Responses to manage each Risk of the identified Risks of GERD Project on Egypt?
Im struggling and falling very behind in my statistical inference subject and need a lot of help understanding the content. Subjects covered - probability density therorm - neyman fisher factorization criterion - sufficient statistics - Lehman schoffe method Plus more. I really need someone to help work through exercises and explain them to me in a way I can understand. PLEASE NOTE I DO NOT WANT SOMEONE TO COMPLETE MY ASSIGNMENT. I WANT SOMEONE TO WORK THROUGH EXAMPLES. THESE EXAMPLES ARE NOT MARKED AND NOT PART OF MY GRADING.
Looking for INDIVIDUAL full-time freelancers for our Enterprise Client. Project Duration - 3 months Timezone- Berlin Timezone Remote / WFH SENIOR DATA Analyst Responsibilities Be a primary point of contact for all product/consumer analytics with clear understanding of the product and business needs. Maintain the product data landscape and consistently seek opportunities to enhance understanding of customers, market and product fit. Ensure tracking, stitching and reporting of marketing data and provide a clear understanding of customer acquisition process and cost. Model consumer behavior and build user persona using product usage / transaction data (click stream etc.) Drive product strategy by defining hypothesis, designing experiments and perform A/B testing to continuously optimize pr...
We are looking for someone who are passionate to build courses for students on Practical Data Analytics. An ideal candidate should have experiences in teaching these topics in any education institution, bootcamps or coding school. The deliverable of this project would include: 1. Notes and Slides 2. Video Recording 3. Practice Assignments with suggested solutions and guidelines 4. Projects with suggested solutions with suggested solutions and guidelines The course should cover the topics below: 1. Math and Statistics Foundations - Probability - Descriptive statistics - Confidence interval, hypothese testing - scientific method - Distributions 2. Introductions to Data Analytics - Data Analytics Process - Hands-on project and exercises with SQL and BigQuery - Data Cleaning (normalization...
I'm attaching a research paper. The statistical analysis done in that paper just needs to be replicated freshly. Everything - including dataset, methods used and sources are in that paper. I'm attaching a link to ONE OF THE sources for the dataset as well. It's in Spanish, so use google translate's "translate PDF" feature to convert it to English. Link: You can refer to the attached research paper for the rest of the details. All the stats done in the paper need to be replicated. See what other data they've used and please use that accordingly.
Price prediction machine learning model, involving comparison between simple linear regression model and tensorflow deep neural network (DNN) performance.
I have measured fatty acids levels of 28 fatty acids (3 fractions: free, bound and total fatty acids) in approx. 700 participants at WAVE 1 (baseline). There is global cognition scores and MMSE cognition scores for Wave 1 to Wave 4 (longitudinal, approx. 2yrs between each wave) There is diagnosis of disease at Wave 4 for patients who were normal at Wave 1 but developed disease by wave 4 I would like to analysis 1. At wave 1 are there any fatty acids significantly altered between the disease groups 2. Is any of the fatty acids associated with lower global cognition or MMSE score at Wave 1? 4. Can any of the fatty acids predict decline in global cognition or MMSE score at Wave 1 5. Can any fatty acids at Wave 1 predict development of disease at Wave 4 6. Can any fatty acids at Wave 1 pre...
I have a project about analysing MIMIC-3 dataset and waveforms. I need someone who know ML, and SQL techniques, and how to apply it on Python or Matlab. Also, someone with experience on would be perfect. We will try to implement Pearson Correlation on Heart rate, Systolic Bp, Diastolic Bp, Repiration rate, body temperature, SpO2, Glucose. There will be ten patients. We will create a dataset with these individual datas.
We offer multiple services to our customers and recently did a survey where the customers were asked about their satisfaction levels for all the services provided to them. They ranked the services at a scale from "very unsatisfactory" to "very satisfactory" based on different service indicators such as cost, wait time etc. I would like your help with the best analysis approach for this survey data. I will prefer candidates with previous experience in similar analysis. You will also be preferred if you explain how you will handle this problem and which analytical method/technique will you apply. Thank you
Require someone to setup a website or a link into my excel spreadsheet with real time sports data (Football, tennis). Happy to focus on one to beign with. Would like to setup a basic framework of how the data should be organsied and what needs to be extracted
It is stock data that i have collected and put into a set criteria and eventually would like to draw on it to make statistics but i'm unsure how i'd do it in it's current format
I want to construct the fama french factor models for a swiss equties portfolio with daily data. I want to rebalancing my portfolio every month or every quarter and then run some regressions and rolling betas regressions.