Analyses statistiques Jobs

Our plant’s quality-control stage needs to become faster, leaner and more dependable without driving up cost. I’ve already gathered baseline data from the line; what’s missing is a structured process optimization effort focused squarely on the manufacturing side of operations. Here’s what I need: • A clear, data-backed diagnosis of the current QC workflow—where delays, rework or measurement errors are creeping in. • A redesigned process map that removes waste, simplifies hand-offs and embeds best-practice quality gates. • Practical recommendations on tools or statistical methods (SPC, Six Sigma, automated inspection, etc.) that fit our scale. • A concise implementation plan complete with target KPIs, owner responsibilities and a time...

I need a sharp, fast-paced research assistant for a live, time-sensitive project. You will be helping me navigate, search, and interpret a technical document.

I need over 10 interviews analyzed using Atlas.ti. Each interview is about 30-60 minutes long. Themes and codes are already identified. Ideal Skills and Experience: - Proficiency in - Experience with qualitative data analysis - Strong analytical skills - Attention to detail

I have been researching our city’s transportation network from an industrial-engineering angle and now need a fresh set of expert eyes to turn the findings into a concrete investment roadmap. The study is centered on the public transit system and we have already gathered real-time operational and usage data. Here is what I need next: • Analyse the real-time datasets to spot inefficiencies, capacity gaps, and cost drivers. • Build clear investment strategies that improve service quality while maximizing financial return and long-term sustainability. • Quantify projected impacts on ridership, operating costs, and wider economic benefits such as tourism growth and better university-campus connectivity. • Present everything in a concise report supported by ...

I have a curated dataset of abdominal X-ray images that needs a robust deep-learning model capable of classifying key clinical findings. The end goal is a production-ready Python solution that can consistently score above 90 % accuracy on an unseen validation set. You’ll start with any mainstream framework you prefer—TensorFlow, Keras, or PyTorch—and handle the full pipeline: data preparation and augmentation, model architecture selection, training, hyper-parameter tuning, and evaluation. Please keep the code modular and well-commented so I can retrain or fine-tune later as new data comes in. A concise report that explains your decisions, metrics, and suggestions for future improvements will also be appreciated. To help me choose quickly, focus your proposal on your exp...

I need an expert to craft a comprehensive policy brief focusing on financial regulation, specifically securities regulations. Key Requirements: - In-depth analysis of current securities regulations - Recommendations for policy improvements - Evidence-based insights and data Ideal Skills: - Strong background in economics and financial regulation - Experience in policy writing - Proficient in research and data analysis

I’m putting together a structured career-planning programme for students and recent graduates who are still unsure about their next step. What I need from you is a complete roadmap that covers three pillars: • Skill assessment & development – an easy-to-follow process (personality or aptitude tests, competency mapping, and a clear gap analysis) that ends with an actionable learning plan. • Networking strategies – concrete methods for building a professional network from scratch, including sample outreach scripts, LinkedIn optimisation tips, and guidance on finding mentors or industry groups. • Job-market analysis – up-to-date research on growth sectors, entry-level salary ranges, regional hiring trends, and any credible data sets or dashboard...

I am seeking an experienced academic researcher to deliver a complete, journal-ready research paper on Explainable AI (XAI) for predicting and interpreting student academic performance. The study must use multiple academic data sources (exams & quizzes, assignments & projects, and class participation records), which I will provide in CSV format. Scope of work: • Clean, preprocess, and align datasets using student IDs and time frames • Perform relevant feature engineering • Build at least one strong predictive model (with optional comparisons) • Apply explainability techniques such as SHAP, LIME, decision trees, or equivalent, with clear justification • Evaluate predictive performance and interpretability • Produce publication-quality visualizat...

I’m preparing a research paper that demonstrates how explainable AI can predict and interpret student academic grades using a mix of exams and quizzes, assignments and projects, plus class participation records. I already have raw datasets in CSV form; what I need is the complete experimental pipeline and a well-structured manuscript ready for journal submission. Here’s what I’m expecting: • Clean and engineer the three data sources so they align on student IDs and time frames. • Build at least one solid predictive model—feel free to compare alternatives—but tie every result back to a clearly articulated explainability layer (e.g., decision trees, SHAP, LIME or any other method you justify). • Evaluate accuracy and, just as important, hig...

I need a sharp, fast-paced research assistant for a live, time-sensitive project. You will be helping me navigate, search, and interpret a technical document.

I'm looking for an expert in Excel to create a detailed compensation analysis The model should help in compensation benchmarking analysis . Key requirements: - ability to add multiple surveys into the file and the ability to weight the different surveys different based off position. Built out for at least 3 survey sources - columns for 25th, 50th, and 75th percentiles for base pay, total cash, and long term incentives. Should also include bonus target as a %Ike and bonus actual as a $ value - Detailed compensation insights Ideal skills and experience: - Advanced Excel proficiency - Experience in modeling - Attention to detail - ability to

I run a digital product business selling market research on and need someone to handle daily Twitter engagement to grow my audience. Your daily tasks (1-2 hours): Like 50-100 tweets in entrepreneurship/online business/Whop/digital products niches Leave 15-20 valuable comments on tweets from accounts with 1k-50k followers Schedule 2-3 pre-written tweets per day using [whatever tool you pick - TweetDeck/Buffer/Hypefury] Reply to basic questions and thank-yous with short responses Flag any important DMs or serious buyer questions for me to handle What I need from you: Fluent English (you'll be representing my brand in comments) Understanding of online business/entrepreneurship language Ability to sound natural, not robotic or spammy Reliable - same time every day, no disappearing Pri...

I need a fully-developed Simio model that follows every one of the 2,750 plates from the moment they arrive by truck until the last unit is set down in the yard. There are 109 colours, exactly 25 plates per colour, and each colour must remain together in the same three-slot crane position. If a later plate of an already-started colour shows up, the Rubber-Tired Gantry (RTG) has to travel back to that original position before it can discharge the plate. Operational facts you must replicate • Trucks: 10 per calendar day, 12 plates each, arrivals spread randomly over 24 h. • RTG travel speed: 4 km/h. • Crane positions: three usable slots per stop. • Discharge time: 1.5 min per plate, continuous 24 / 7 operation. Scope of the model – High-detail, entity-...

I need a data-savvy investigator to help me confirm whether social-media content is being deliberately down-ranked or hidden. My sole aim is to identify suppressed algorithms, with a particular emphasis on content-visibility suppression on major social platforms. You will design and execute an evidence-based study: gather relevant data points (public APIs, scraped feeds, or previously archived datasets), apply statistical or machine-learning techniques to spot anomalous reach patterns, and document any rules, thresholds, or signals that appear to mute posts. I am open to your preferred toolkit—Python, R, SQL, or specialty OSINT platforms—as long as the workflow is reproducible. What matters most is a clear, defensible methodology, transparent code, and a concise explanati...

I’m looking for a data scientist based anywhere in Latin America to help me create reliable predictive models for a finance-focused project. You’ll start with large historical datasets stored in SQL and deliver models that accurately forecast key financial indicators. I work mainly with Python, so you’ll find Pandas, NumPy, Scikit-learn and, when deep learning is justified, TensorFlow already in place. If you prefer R for certain tasks, that’s perfectly fine as long as the final workflow remains reproducible. The end-user needs to consume insights through Power BI, so once the model is validated I’ll ask you to craft intuitive dashboards that highlight drivers, confidence ranges and any red-flag anomalies the model detects. Solid statistical grounding is esse...

I have a structured e-commerce dataset sitting in Excel/CSV format that needs a thorough exploratory data analysis. My goal is to turn raw tables into an insightful visual narrative—clear charts, concise commentary, and an executive-style report or interactive dashboard that highlights the key patterns hiding in the numbers. Here is what I need from you: • A clean, well-documented analysis (Python with pandas, seaborn/matplotlib or R tidyverse are fine) that walks through data profiling, outlier handling, and any necessary feature engineering. • Compelling visualizations—think sales trends, category performance, customer behaviour—that can be dropped straight into a slide deck or shared as an interactive report (Tableau, Power BI, or a notebook with embedded...

I'm looking for an expert in multi-fidelity Bayesian optimization to optimize material science processes, potentially focusing on reaction optimization. Key requirements include: - Optimize processes using numerical and categorical data - Experience in material science and Bayesian optimization - Strong analytical skills to interpret complex datasets Ideal skills and experience: - Proven track record in multi-fidelity Bayesian optimization - Background in material science, particularly in reaction optimization - Proficiency in handling both numerical and categorical data

I’m looking for someone who feels at home inside NVivo and can guide a full thematic analysis from start to finish. I will supply a set of qualitative documents; your first task will be to import them, explore their content, and help me co-create a clear coding framework because I don’t yet have one in place. The core objective is to identify recurring themes and meaningful patterns. Once our framework is agreed, I’ll need you to code the material consistently, run the appropriate queries, and synthesize the findings into concise narrative output with supporting visuals straight from NVivo (e.g., word trees, cluster maps, coding frequency tables). Deliverables • Draft and refine a coding manual we both sign off on • Fully coded NVivo project file (.nvp...

I need a data analytics expert to analyze key datasets. Key requirements include: - Analyze sales, customer, and operational data. - Identify trends, make predictions, and improve efficiency. - Deliver insights for reports, business decisions, and strategy development. Ideal skills and experience: - Proficiency in data analytics tools (e.g., Python, R, SQL). - Strong analytical and statistical skills. - Experience in generating actionable insights from complex datasets. - Ability to communicate findings clearly. If you have a proven track record in data analytics and can work within my budget, I would love to hear from you.

I have several initiatives in motion and need an up-and-coming strategist who can translate raw information into clear, actionable recommendations. Day-to-day work will revolve around gathering relevant data, spotting trends, and shaping concise briefs that help me make smarter decisions, whether the subject is a new product line, a potential partnership, or a go-to-market tweak. You’ll receive background material, call recordings, or spreadsheet dumps; your job is to distill them into insight—think structured market snapshots, competitor benchmarks, or scenario outlines—and package everything in a way that’s easy to absorb. Solid analytical thinking, crisp written communication, and a knack for keeping projects on track are essential. Familiarity with Excel or G...

I need help analyzing a collection of text-based data for an ongoing research project. My background is in artificial intelligence and data science, yet I want a fresh perspective on exploratory analysis, pattern discovery, and interpretation so the insights are both rigorous and clearly actionable. The core task is straightforward: ingest the raw text files I provide, clean and structure them appropriately, then run exploratory and statistical analyses that reveal key themes, sentiment trends, and any significant correlations you uncover. Feel free to use Python with pandas, NumPy, NLTK, spaCy, or other standard NLP and data-analysis libraries—whatever you are most comfortable with as long as the workflow is reproducible. Because I don’t have a hard deadline, quality and cla...

I’m working on a macroeconomics assignment that focuses exclusively on fiscal policy. I need a concise, academically sound research and analysis piece that explains how government spending and taxation choices influence overall economic performance. Your job is to gather the latest scholarly and policy-based sources, identify key fiscal measures, and evaluate their short- and long-term macroeconomic effects. Clear arguments, well-interpreted data trends, and correct citation style are all essential. Deliverables • 2,000–2,500-word report in editable format • Minimum 8 reputable references (journals, IMF/World Bank, or comparable) • Supporting charts or tables that illustrate core findings • Brief executive summary (≈250 words) that highligh...

My dataset on post-operative recovery in Orthopaedic Surgery is complete, and I need help writing the research article that can move straight into peer review. The scope is a primary study on patient outcomes, not a review article or case report, so every section—from structured abstract through Discussion—must follow the conventions of an original investigation. Here is what I will provide: the anonymised spreadsheet, basic statistical outputs (SPSS), operative protocols, and institutional ethics approval. What I expect back is a manuscript written in clear scientific English, formatted to the target journal’s author guidelines (Vancouver referencing, figure resolution, word limits, CONSORT flow diagram where applicable) and uploaded through the journal’s online ...

I need assistance with moderated moderation mediation analysis using the PROCESS macro in SPSS. This analysis is critical for testing hypotheses in my research. Key Requirements: - Expertise in SPSS, particularly with the PROCESS macro - Experience in moderated moderation and mediation analysis - Ability to interpret and report results clearly Ideal Skills: - Advanced statistical knowledge - Proficiency in regression analysis (any type) - Strong analytical thinking and problem-solving skills Please provide relevant experience in your bids.

I’m looking for an expert who can handle STATA confidently for data analysis and explain the results clearly. Payment will be fixed, and if things go well, there can be more work in the future. If you have solid STATA experience, please get in touch.

I’m looking for one versatile professional who is equally comfortable in Excel and Corel Draw. Excel task I have a dataset that needs clear, insightful analysis. You’ll clean the data, explore relationships, build pivot tables, apply basic statistical methods, and surface key findings in a well-structured workbook. Corel Draw task I also need a fresh, text-only logo created directly in Corel Draw. The goal is crisp, legible typography that reflects a modern, professional feel. No icons or color palettes required—just strong type treatment. Please provide the editable .cdr file plus a high-resolution transparent PNG and an SVG export. Deliverables • .xlsx file containing the cleaned data, pivot tables, formulas, and written insights • Corel Draw .cdr o...

I’m looking for an expert who can handle STATA confidently for data analysis and explain the results clearly. Payment will be fixed, and if things go well, there can be more work in the future. If you have solid STATA experience, please get in touch.

Title: R Studio/Data Analysis Support for Dissertation (Excel → R Studio → Chapter Writing) Description: I am seeking an experienced data analyst or statistician to assist with a dissertation research project. The main tasks include: Uploading and evaluating existing data from an Excel sheet into R Studio Performing analyses to address specific research questions Assisting with interpretation of results Supporting the writing of Chapters 4 (Results) and 5 (Discussion/Conclusions) based on the findings Requirements: Proficiency in R Studio and statistical analysis Experience with Excel data management and cleaning Strong ability to interpret results in the context of research questions Familiarity with academic writing and dissertation formatting Attention to detail and...

I’m currently working through a quantitative finance / financial engineering program and I’m looking for an experienced finance or quantitative professional to provide ongoing technical support and guidance. This is not a one-off task. I’m looking for someone who understands both financial theory and practical model implementation, and who can support me across multiple modelling problems and conceptual questions as the program progresses. Areas involved include: • Mean–variance portfolio optimisation • Risk-free assets and efficient frontiers • Volatility targeting and portfolio constraints • Excel Solver formulation and convergence issues • Asset pricing, portfolio risk, and returns • Interpretation and validation of quantitat...

I’m looking to commission a custom machine-learning model that automatically writes full-length research papers in the medical field. The focus is article-style generation rather than casual chatbot replies or short-form posts, so coherence, correct structure (abstract, introduction, methods, results, discussion, references), and domain-appropriate terminology matter more to me than conversational flair. You’re free to choose the underlying architecture—transformer-based models such as GPT-like variants, T5, Llama, or your own hybrid approach—so long as the final pipeline consistently produces high-quality drafts that read like genuine medical research. I will supply example papers and any additional datasets you ask for; you handle data preparation, fine-tuning, a...

I’m looking to commission a custom machine-learning model that automatically writes full-length research papers in the medical field. The focus is article-style generation rather than casual chatbot replies or short-form posts, so coherence, correct structure (abstract, introduction, methods, results, discussion, references), and domain-appropriate terminology matter more to me than conversational flair. You’re free to choose the underlying architecture—transformer-based models such as GPT-like variants, T5, Llama, or your own hybrid approach—so long as the final pipeline consistently produces high-quality drafts that read like genuine medical research. I will supply example papers and any additional datasets you ask for; you handle data preparation, fine-tuning, a...

I have a growing spreadsheet-based database that now needs three things in one streamlined workflow: accurate re-typing of a few legacy documents into the master sheet, a quick proof pass to catch typos and formatting issues, and finally a clear market analysis drawn from the cleaned data. The core of the job is data analysis, with a focus on market analysis. Once the information is re-entered and verified, I’d like you to identify key market trends hidden in the numbers—patterns in customer behaviour, shifts in demand, emerging opportunities, and any risks you notice. Feel free to use Excel, Google Sheets, or your preferred tools (Python + Pandas or SQL are fine too) as long as the final files remain easy for me to open and follow. Deliverables • A fully re-typed ...

I need a FlexSim model that mirrors my current assembly-line setup so I can focus on process optimization and, most importantly, pinpoint every bottleneck that limits throughput. The scope is limited to production line efficiency: station capacities, buffer sizes, material flow, and operator interactions. I will supply layout drawings, takt-time data, and recent shift logs. Using those, replicate the line, run sensitivity analyses, and highlight where queues build or resources sit idle. Please return: • The .fsm model ready to open in FlexSim • A concise run report summarising KPIs (throughput, utilisation, average wait) and the exact stations or logic causing each bottleneck • A short list of parameter tweaks or layout changes that the simulation shows would yield t...

I need a partner who can walk me through the full process of quantifying and explaining feature importance across several classic models—specifically Linear Regression, Decision Trees and Support Vector Machines—using Python. The goal is to compare and contrast interpretability techniques such as SHAP, LIME, PDP and ICE, then package the findings so that non-technical stakeholders can easily understand why each feature matters. What I expect from you • Well-structured, reproducible Python code (preferably in Jupyter notebooks) showing how each model is trained and how the above interpretability methods are applied. • Clear visualisations and narratives that highlight where and why the different methods agree or diverge. • At least one live session (Zoom, M...

I need ongoing help a few hours a day with collecting, cleaning, and summarising data for several market intelligence projects. You’ll log into shared Google Sheets, pull information from public sources or APIs, verify accuracy, and present concise insights that let me make quick decisions. Experience with Excel or Sheets functions (LOOKUPs, pivot tables, basic charts) and any lightweight statistical tool such as Python/pandas or R is a plus, but solid attention to detail matters most. I’ll set clear weekly objectives up front. Typical deliverables include: • A cleaned spreadsheet ready for analysis • A brief written summary (no more than one page) highlighting key findings and anomalies Before we start, send a short note telling me your favourite dataset you&rs...

I have a set of raw pharmaceutical data and I need it transformed into a clear, reliable financial analysis that hinges on accurate drug-dosage calculations. The goal is to understand how each dosage choice affects overall cost and profitability, so the numbers have to be airtight. Here’s what the job looks like from my side: • Source data: prescription-level, pharmacy-supply figures (Data farmasi). • Core task: run precise Penghitungan dosis obat, then fold those results into a concise Analisis keuangan. • Preferred tools: Excel for all number-crunching; if you lean on Python, R, or Power BI to streamline the workflow, that’s fine as long as the final model lives in an easy-to-audit spreadsheet. Deliverables I need to see: 1. An Excel file with every dosage ca...

To simplify paying you and communicating with you, I am looking for a coder that who located in the United States. I’m putting together a fully automated day-trading system focused on squeezing out short-term gains every session. Because speed and execution nuance are everything, I only want to work with someone who is already active in the U.S. markets—you know the quirks of pre-market liquidity, Level 2 tape action, and the maddening volatility that can erupt around economic prints. Scope The core of the project is an algorithm that scans real-time data, identifies high-probability set-ups, and triggers rapid entries and exits in both equities and the more liquid commodity contracts. The logic needs to be modular so I can swap indicators or risk parameters without rewriti...

I’m preparing a series of epidemiology research papers and I’d like an experienced medical writer to help me transform my study notes, datasets and preliminary analyses into clear, publication-ready manuscripts. The core of the job is classic academic writing: structuring the paper (IMRaD format), weaving the literature review with current public-health context, presenting results accurately, and finishing with concise discussion and conclusions that meet journal standards. I will supply the raw material—study objectives, methodology, statistical outputs, and key references—so you can focus on narrative flow, logical argumentation, proper citation (Vancouver or APA, depending on target journal), and alignment with reporting guidelines such as STROBE. Deliverables ...

I need ongoing help a few hours a day with collecting, cleaning, and summarising data for several market intelligence projects. You’ll log into shared Google Sheets, pull information from public sources or APIs, verify accuracy, and present concise insights that let me make quick decisions. Experience with Excel or Sheets functions (LOOKUPs, pivot tables, basic charts) and any lightweight statistical tool such as Python/pandas or R is a plus, but solid attention to detail matters most. I’ll set clear weekly objectives up front. Typical deliverables include: • A cleaned spreadsheet ready for analysis • A brief written summary (no more than one page) highlighting key findings and anomalies Before we start, send a short note telling me your favourite dataset you&rs...

I want to quantify how recent advances in artificial intelligence are influencing forecasts of French GDP. I already have access to long-run historical GDP time-series and would like you to work only with that dataset for now. The task is strictly quantitative: build and compare solid économétriques models that incorporate an IA variable (or proxy) and measure its marginal effect on growth projections. You will be free to choose among standard time-series techniques—VAR, ARDL, error-correction, whatever proves statistically sound—provided the approach is fully documented and reproducible in R, Python, or Stata. Along the way, please explain every transformation, stationarity check, and specification test so that the methodology can be defended in an academic sett...

I already work at an advanced level with kinetic theory, yet I want to sharpen my non-isothermal modeling skills for biomass gasification and pyrolysis. The goal is to walk through rigorous, step-by-step workflows—from selecting the appropriate kinetic scheme and choosing heating rate protocols, through parameter estimation and model validation—so that I can streamline my own research code and confidently defend the methodology in publications. Here’s how I picture the engagement: • A short series of live, screen-shared sessions (recordings provided) where you demonstrate your preferred workflow. I’m comfortable talking equations, differential mass balances, and Arrhenius-type parameter fitting right away, so please pitch the discussion accordingly. •...

I’m looking for one versatile professional who is equally comfortable in Excel and Corel Draw. Excel task I have a dataset that needs clear, insightful analysis. You’ll clean the data, explore relationships, build pivot tables, apply basic statistical methods, and surface key findings in a well-structured workbook. Corel Draw task I also need a fresh, text-only logo created directly in Corel Draw. The goal is crisp, legible typography that reflects a modern, professional feel. No icons or color palettes required—just strong type treatment. Please provide the editable .cdr file plus a high-resolution transparent PNG and an SVG export. Deliverables • .xlsx file containing the cleaned data, pivot tables, formulas, and written insights • Corel Draw .cdr o...

I’m looking for a seasoned financial consultant who lives and breathes risk management within the finance and banking sector. The projects you’ll be advising on all exceed the USD 10 million mark, so I need someone comfortable dissecting complex portfolios, spotting hidden exposures, and translating regulatory expectations into clear, actionable steps. Here’s what I expect from our collaboration: • A thorough risk assessment covering credit, market, liquidity, and operational factors relevant to large-scale banking initiatives. • A concise mitigation plan that ranks exposures by severity, maps them to capital requirements, and suggests cost-effective hedging or restructuring tactics. • Practical implementation guidance—stress-testing models, sc...

I'm seeking a skilled SurveyMonkey expert to create a SWOT survey for a nonprofit organization focused on urban agriculture education through tower farming in schools. The survey will assess the program's effectiveness in education and engagement with community members, parents, and donors. Key Requirements: - Focus on effectiveness in education, community and parent engagement, and donor relations. - Target groups: Teachers, community members, parents, and donors. - Gather specific insights on teaching effectiveness from teachers. Ideal Skills and Experience: - Experience with SurveyMonkey. - Familiarity with nonprofit and educational sectors. - Strong understanding of SWOT analysis. Goal - To create or revise Mission and Vision Statements from survey research data Objectiv...

RESEARCH PROTOCOL 1. Title of Study Profiling the Clinical and Laboratory Characteristics of Paediatric Disorders of Sex Development --- 2. Principal Investigator Lwethu Dlamini Department of [Department Name] Institution: [Institution Name] Email: [Insert Email] Supervisor: [Insert Supervisor Name] --- 3. Background and Rationale Disorders of Sex Development (DSD) refer to a group of congenital conditions in which development of chromosomal, gonadal, or anatomical sex is atypical. DSDs are clinically heterogeneous and often require multidisciplinary assessment including endocrinology, urology, genetics, and psychosocial support. Early and accurate profiling of clinical and laboratory features is essential for: • Correct diagnosis • Guiding gender assignment decisions • ...

I have a set of raw survey responses that must be brought into a single, well-structured Excel workbook ready for descriptive statistical analysis. The job starts with straightforward data entry—copying and pasting figures from several source files—then moves on to tidy formatting, consistent cell styles, and the creation of clear headers so every column can be understood at a glance. Once the data is clean, I need you to build the formulas that will drive the analysis: means, medians, modes, standard deviations, response counts, and percentage breakdowns across key demographic columns. A summary sheet should pull these measures together automatically, updating whenever new data is added. Deliverables • Master worksheet containing the cleaned survey data, free of blanks,...

I’m working through Week 3 of my Clinical Mental Health Counseling MA program and need a polished chapter review that runs 6–7 double-spaced pages in strict APA format. The chapter itself dives into contemporary findings in the field, so the paper should emphasize current research and studies rather than simply rehashing theories or case anecdotes. Please weave in citations from peer-reviewed journals, core textbooks, and reputable online articles to anchor each point. I’ll supply the chapter PDF as soon as the project starts; feel free to recommend any additional landmark studies you think will strengthen the analysis. What I expect back: • A Word document containing a title page, 150–250-word abstract, the 6–7 page review, and a properly formatted r...

I’m getting ready to run a buffer-solution analysis and want to walk through every step of the scientific method correctly— from shaping the hypothesis to submitting a polished lab report. My study guide’s pH section is useful but I still need hands-on guidance. Here’s what I’m looking for: • Experiment design: help me frame the research question, outline variables and controls, and choose the right buffer concentrations and indicators. • Lab execution: coach me on pH meter calibration, proper use of glassware, and any tips that prevent common buffer pitfalls. • Data work-up: once the readings come in, I’ll need a clear path for plotting titration curves, calculating pKa, and running any basic stats (Excel, Google Sheets or similar)....

I have a set of raw survey responses that must be brought into a single, well-structured Excel workbook ready for descriptive statistical analysis. The job starts with straightforward data entry—copying and pasting figures from several source files—then moves on to tidy formatting, consistent cell styles, and the creation of clear headers so every column can be understood at a glance. Once the data is clean, I need you to build the formulas that will drive the analysis: means, medians, modes, standard deviations, response counts, and percentage breakdowns across key demographic columns. A summary sheet should pull these measures together automatically, updating whenever new data is added. Deliverables • Master worksheet containing the cleaned survey data, free of blanks,...

I have completed the experimental work on a set of nanomaterials (I’ll share the exact list once we start) and now need the findings shaped into a full-length research article suitable for journal submission. The focus is their anticancer activity, so a solid background in Chemistry at the Ph.D. level—especially in nanomaterials—is essential. The manuscript must be written entirely from peer-reviewed journal sources; books and general online pieces are off-limits. Please organise the paper in APA style, covering every detail from in-text citations to the reference list. Scope and expectations • Target length: roughly 6,000–8,000 words • Standard structure: Abstract, Introduction, Materials & Methods, Results, Discussion, Conclusion, References ...