Anovapekerjaan

I have an IRB-approved protocol and SAP psychometric study of a digital cognitive wellness battery Scope of Work (must be included in proposal) Data QC and cleaning Validate export integrity, missingness review, recodes per data dictionary Produce analysis-ready dataset + QC notes (queries list) Primary reliability analysis ICC(3,1) with 95% CI Run two ICC approaches for verification (ANOVA-derived ICC and psych::ICC output) and confirm they match as expected Secondary analyses Domain/task ICCs with CIs Practice effects (paired tests + effect sizes) Usability (SUS/TAM) summary Completion rates, validity flags, session duration Exploratory correlations with SLUMS Deliverables Reproducible R repo (scripts, README, session info, locked outputs) Word-ready statistical report (tables + ...

...a continuous-variable dataset together with a short document that spells out three distinct research objectives. Your job starts with a light data-prep pass in SPSS: screen for missing values, outliers, and check the usual assumptions (normality, homogeneity of variances). Once the data are clean, run the specified inferential tests: • Objective 1 – one-sample t-test • Objective 2 – one-way ANOVA • Objective 3 – independent-samples t-test (or paired if my notes indicate otherwise) Please rely on native SPSS procedures rather than plugins, and keep all work reproducible by saving your syntax file. Deliverables • SPSS output reorganised into clear, publish-ready tables (APA style) • A concise written summary that interprets each...

...moves beyond simple counts and uncovers how these dimensions interact. In practical terms, I’m expecting: • Data preparation: check for missing values, reverse-code any negatively worded items if required, and label variables so the output is easy to read. • Descriptive statistics and visual summaries to set the scene. • Inferential tests that match the data level (e.g., chi-square, t-test/ANOVA, correlation, or logistic regression) to reveal which knowledge or attitude variables significantly predict donation decisions. • A concise written report (Word or PDF) that explains methods, key findings, and practical implications, with clearly annotated tables and graphs that I can drop straight into a manuscript or presentation. • The analysis...

...whether those batches behave consistently. Everything must live in one well-structured Excel file that not only holds the numbers but also shows, step-by-step, how each result was reached and what it means. Here’s what I want to see inside the workbook: • Statistical analysis – descriptive stats, variance checks, any tests you feel are appropriate to confirm consistency across batches (I’m open to ANOVA, t-tests, control charts, etc.). • Graphical representation – histograms, box-plots, trend lines, side-by-side site comparisons; keep the visuals clean and labeled so a non-statistician can follow the story. • Comparative analysis – clear tables or charts that place Site 1 and Site 2 results next to each other, highlighting any di...

...astfel încât materialul final să fie relevant și convingător pentru profesioniștii din domeniul medical. Vei primi seturile brute de date clinice (variabile demografice, evoluția unor markeri biologici și scoruri de severitate) și un rezumat al design-ului de studiu. Sarcina ta este să: • curăți și structurezi baza de date; • aplici testele statistice adecvate (probabil va fi nevoie de teste t, ANOVA, regresii logistice și analize de supraviețuire); • generezi grafice clare și tabele publicabile conform standardelor jurnalelor biomedicale (format APA sau Vancouver); • redactezi secțiunile Materiale și Metode, Rezultate și o discuție scurtă centrată pe semnificația clinică a valorilor p și a intervalelor de încredere; • anexezi ...

...further Classify each company’s yearly strategy as innovation-led, acquisition-led, ecosystem-led, or hybrid using measurable proxies (R&D intensity, M&A activity, platform/cloud revenue share). ***You may advise if you have better way to develop the project? Examine how these strategy patterns relate to operating margin and ROA. Run basic statistical analysis (descriptive stats, correlation, ANOVA, and regression). I’m looking for help with: Collecting the financial and strategy-related data from annual reports/databases, Building a clean firm-year dataset, and Running the statistical tests and sharing the outputs with data and analysis along with in depth interpretation....

...Conduct the statistical tests using SPSS: ANOVA comparing ADHD versus neurotypical participants and examining male–female differences (plus their interaction), followed by a logistic regression modelling the likelihood of a correct identification across emotion categories, diagnostic group, and gender. unbiaseded hit rates. • Supply concise write-ups of the results with p-values, effect sizes, and any relevant assumptions checks, alongside clean, well-commented syntax ( SPSS), so the analysis can be reproduced. Deliverables 1. Revised Excel file with the consolidated participant-level sheet and pivot table. 2. Create spss file 2. Statistical output (tables or annotated screenshots). 3. Brief methodological report (≈1-2 pages) interpreting the ANOVA...

...fully supported by the data I collected. Statistics. My dataset calls for an ANOVA, and I want the analysis carried out and explained in a way that earns top marks for “Analysis & Evaluation.” That includes checking assumptions, running the test, interpreting the output, and integrating clear graphs/tables into the report. Research focus. I’m open to revisiting both my working hypothesis and my specific research questions if you see a stronger framing that still matches the experiment I have already completed. Deliverables I’d like to walk away with: • Revised hypothesis and research questions aligned with IB expectations • A streamlined, criterion-aligned IA manuscript (≈2,500 words) • Complete ANOVA output ...

...defensible, publication-ready results. All data are collected; what remains is selecting the right tests, checking assumptions, running the analyses, and clearly presenting what the numbers mean in the context of my research questions. Your role is to: • Review my research objectives and the variables already coded • Advise on, then carry out, the appropriate statistical procedures (e.g., regression, ANOVA, factor analysis—whatever best fits the hypotheses) • Provide clean, fully commented scripts in SPSS, R, Stata, or Python so I can reproduce every step • Deliver well-formatted tables, figures, and a concise methods/results write-up that aligns with typical journal or dissertation standards Acceptance criteria • All analyses replicate iden...

...report demonstrating <5 % similarity • Final file packaged in both Word and PDF, ready for submission Acceptance criteria The manuscript must explicitly quantify efficacy metrics (e.g., disease severity reduction, colony-forming unit counts) and compare them to current benchmarks. Arguments should flow logically, each claim backed by data or literature support, and statistical approaches (ANOVA, post-hoc tests) clearly stated. Language needs to read smoothly for an international scientific audience and pass a professional copy-edit level on grammar, clarity, and journal-specific guidelines. Timeline A first complete draft is expected within three weeks, followed by one revision cycle based on my annotated feedback. Tools & keywords naturally relevant: R or SP...

...defensible, publication-ready results. All data are collected; what remains is selecting the right tests, checking assumptions, running the analyses, and clearly presenting what the numbers mean in the context of my research questions. Your role is to: • Review my research objectives and the variables already coded • Advise on, then carry out, the appropriate statistical procedures (e.g., regression, ANOVA, factor analysis—whatever best fits the hypotheses) • Provide clean, fully commented scripts in SPSS, R, Stata, or Python so I can reproduce every step • Deliver well-formatted tables, figures, and a concise methods/results write-up that aligns with typical journal or dissertation standards Acceptance criteria • All analyses replicate iden...

...defensible, publication-ready results. All data are collected; what remains is selecting the right tests, checking assumptions, running the analyses, and clearly presenting what the numbers mean in the context of my research questions. Your role is to: • Review my research objectives and the variables already coded • Advise on, then carry out, the appropriate statistical procedures (e.g., regression, ANOVA, factor analysis—whatever best fits the hypotheses) • Provide clean, fully commented scripts in SPSS, R, Stata, or Python so I can reproduce every step • Deliver well-formatted tables, figures, and a concise methods/results write-up that aligns with typical journal or dissertation standards Acceptance criteria • All analyses replicate iden...

...outputs. Each project carries its own dataset along with a brief outlining the research questions; my expectation is that you’ll advise on the best analytical route, execute it, and supply a concise interpretation that can drop straight into the thesis. Here’s how I usually work • You receive the raw data and a summary of the hypotheses. • You review, suggest the most suitable tests (regression, ANOVA, time-series, non-parametrics—whatever fits), and confirm the plan with me. • You run the analysis in the package you’re most comfortable with—SPSS, R, or even Excel if that suffices—and return: – the cleaned dataset, – syntax / code or a step-by-step log, – labelled tables and graphs ready for W...

...statistical side. The core of the job is to work inside Matlab (R2022b or later) using the Statistics and Machine Learning Toolbox to run and refine: • Multiple and simple regression models, including checks for assumptions and goodness-of-fit. • Classical hypothesis tests (t, χ², Mann-Whitney, etc.) with clear interpretation of p-values and effect sizes. • One-way and, if needed, two-way ANOVA with post-hoc comparisons and visual summaries. You’ll be working directly in my existing scripts, so clean, well-commented code is essential. I’ll share sample data and the current .m files; your task is to optimise the workflow, add the right library calls, and return reproducible results together with succinct notes explaining what was done and ...

I have a fully collected dataset that is ready to be opened in SPSS, and I now need a specialist who can move straight into inferential analysis. Specifically, the project calls for independent or paired t-tests where appropriate, one-way or factorial ANOVA to explore group differences, and Chi-square tests for any categorical relationships that emerge. I will provide the raw .sav file (or a compatible export if you prefer). Your job is to choose the correct test variant for each research question, run it in SPSS, check assumptions, and interpret the findings in clear, publication-ready language. Please keep syntax files so every step is reproducible. Deliverables • SPSS syntax and output files (.sps, .spv) • APA-style tables or charts summarising results &bull...

Hi, The data in the attached Excel files has already undergone statistical testing. No additional statistical analysis is required. Each Excel file is already organized, such that each file contains its own set of associations. Please treat each file independently and do not merge associations across different files. What I need is only filtering an...associations The final output should be a clean, simplified table for each file, including only the significant associations (with p-values and any reported effect measures). Please remove everything else that does not meet these criteria Ideal Skills and Experience: - Proficiency in statistical analysis - Experience with observational data - Familiarity with chi-square test, t-test, and ANOVA - Strong attention to detail an...

I’m looking for a detail-minded professional who can take charge of the statistical analysis that underpins many of our decisions while also keeping our day-to-day off...formulas/macros documented, and a summary sheet of statistical results 2. A short written interpretation of those results suitable for inclusion in proposals or reports 3. When needed, a slide or two translating the numbers into visuals for senior leaders 4. An updated, well-organized folder structure (cloud and hard copy) with naming conventions we’ll agree on If you’ve previously handled ANOVA, regression, or hypothesis testing in Excel—and can juggle regular office tasks without missing a beat—we’ll be a great fit. Let me know your experience with similar multi-faceted...

I have a fully collected dataset that is ready to be opened in SPSS, and I now need a specialist who can move straight into inferential analysis. Specifically, the project calls for independent or paired t-tests where appropriate, one-way or factorial ANOVA to explore group differences, and Chi-square tests for any categorical relationships that emerge. I will provide the raw .sav file (or a compatible export if you prefer). Your job is to choose the correct test variant for each research question, run it in SPSS, check assumptions, and interpret the findings in clear, publication-ready language. Please keep syntax files so every step is reproducible. Deliverables • SPSS syntax and output files (.sps, .spv) • APA-style tables or charts summarising results &bull...

I need an academically rigorous essay that explains core quantitative research models and then zeroes in on hypothesis testing. After setting the theoretical scene, the paper should walk the reader through how hypothesis testing operates inside three common procedures—t-test, ANOVA, and the Chi-square test—showing when each test is appropriate, the assumptions it rests on, and how results are interpreted in practice. Scope: • 1500 words, APA 7th edition throughout • Recent peer-reviewed sources (minimum eight) to anchor the discussion • Clear examples or mini-case scenarios that illustrate each test; feel free to reference software outputs from SPSS, R, or Excel if that strengthens the explanation Deliverables: 1. Word document (or Google Doc) ...

I need an academically rigorous essay that explains core quantitative research models and then zeroes-in on hypothesis testing. After setting the theoretical scene, the paper should walk the reader through how hypothesis testing operates inside three common procedures—t-test, ANOVA and the Chi-square test—showing when each test is appropriate, the assumptions it rests on, and how results are interpreted in practice. Scope • 1500 words, APA 7th edition throughout • Recent peer-reviewed sources (minimum eight) to anchor the discussion • Clear examples or mini-case scenarios that illustrate each test; feel free to reference software outputs from SPSS, R or Excel if that strengthens the explanation Deliverables 1. Word document (or Google Doc) with a...

I’m looking for someone who can move comfortably between rigorous statistical analysis and hands-on finance work. Day to day, you will take raw data from our investment research team, structure it into clean datasets, and then build investment analysis models that clarify where capital should flow next. Key pieces of the role – Apply one-way and two-way ANOVA tests (plus post-hoc checks where needed) to uncover statistically significant performance drivers in our portfolios. – Translate those findings into risk metrics and scenario outputs we can drop straight into our decision decks. – Develop and maintain investment-focused financial models that project cash flows, IRRs, and NPV under multiple market assumptions. – Produce concise, well-vis...

I’ve reviewed your project details and gone through the slides you shared, so I...precision and clarity. I will structure the solution by first setting up the descriptive statistics in the exact cell ranges specified, ensuring all outputs populate your automated summary and post-hoc tables correctly. Using Excel’s Data Analysis ToolPak, I will run the single-factor ANOVA using the exact input and output positions required, so the downstream formulas for Q and Q-critical comparisons function without errors. I’ll follow this by organizing the results into a clean Word document, interpreting means, ANOVA results, and post-hoc significance using the correct logic. Throughout the process, I’ll ensure proper formatting, labeled inputs, and reproducible step...

...levels of well-being, self-disclosure, cooperation, self-esteem, and psychological needs satisfaction when exposed to uninterested tones compared to neutral and autonomy-supportive tones. 2. Students with ADHD will respond more negatively to uninterested and neutral (based on a previous study) tones than their neurotypical peers. Analysis: 1. Main effect of tone and pairwise comparison 2. ANOVA and Pairwise comparison between the two groups tone x DV 2. Use RSD and emotion contagion scores as a moderators: “Do people high in emotion contagion (pos, neg) or RSD react more strongly to tone?” 3. Crohn bac alpha for questionnaires Then a results write up APA style...

Description: We are seeking a qualified data scientist or biostatistician with experience in animal science or environmental trials to re-run methane emissions data analysis using C-Lock GreenFeed protocols. Scope: Review our existing R-based statistical approach (ANCOVA and ANOVA). Re-analyse raw GreenFeed data using: Stage 1: Mixed-effects model to aggregate per-animal LSMEAN values. Stage 2: Group comparison using ANOVA or ANCOVA with DMI and LW covariates. Confirm alignment with USDA/ARS-endorsed methodology. Output final treatment effect result and significance level. Requirements: Strong R/stats skills (mixed models, ANCOVA, etc.). Experience with methane/rumen/animal production data preferred. Ability to interpret and validate against established protocols. ...

...cybersecurity investment/response strategies among small businesses. Study the proposal but complete the methodology and analysis from the datasets. The freelancer will be responsible for designing the analytical framework; cleaning, merging, and preparing the three datasets; and performing all required statistical tests—including descriptive statistics, correlation analysis, regression modeling, ANOVA/MANOVA, predictive modeling, and any additional methods needed to address the research objectives. The final deliverables must include complete statistical outputs (tables, charts, model summaries, significance tests, and diagnostics), along with clear interpretation and narrative analysis explaining how the results answer the research questions on financial impact, invest...

...“select all that apply” questions with option frequencies/percentages; flag extreme skew/low variance/missingness and recommend remedies); (2) Cross-tabulations / bivariate analysis — produce requested crosstabs with Chi-square, row/column/total % and cell counts for Religion × Awareness_of_Halal, Gender × Bought_last12m, Age × Heard_of_Duopharma, and test Seen_Ads_60d × Impression_score using t-test/ANOVA (with Levene’s) or non-parametric alternatives as appropriate; explicitly flag expected cell counts <5 and recommend/implement remedies (collapse categories or Fisher’s exact) with justification; (3) Scale reliability & composite scores — run Cronbach’s α on the six halal perception items (Safe, Effe...

I need help analyzing data from my experimental study. It is in the field of clinical psychology. My design is a 2x2 factorial and I plan to do ANOVA and ANCOVA. I need help with how to navigate violated assumptions

I have completed a study built around three descriptive research questions and now need a fresh set of expert eyes on everything—from code to conclusions. The project lives entirely in R (tidyverse, stats, car, and emmeans are the main packages), and the workflow includes multiple-regression models, moderation tests, ANOVA with post-hoc comparisons, effect-size calculations, model comparison, and the usual assumption diagnostics. What I need from you • Open my .R and .Rmd files, comb through every line, and flag or correct any syntax error, logical misstep, or inefficiency. • Run the scripts yourself to ensure all objects load, every model converges, and outputs reproduce exactly. • Verify the numerical accuracy of coefficients, p-values, confidence interva...

...with a concise, graduate-level explanation of the statistics, the results, and the interpretation, all formatted in current APA style. The template itself may not be altered—only the answer fields should be filled. Data and raw output will be supplied as soon as we start. Your job is to: • run the appropriate dependent-groups tests in IBM SPSS Statistics (paired-samples t-test, repeated-measures ANOVA, Wilcoxon signed-rank, or whichever the data require), • paste or succinctly tabulate relevant output in the worksheet, • explain each result in plain language that a psychology graduate student would use, and • return the finished worksheet as a Word document (or PDF export) by the agreed deadline. Please also send the .spv output file and, if you...

A kérdőívemből származó adatokat szeretném feldolgozni SPSS-ben. A minta tisztítása már megtörtént, most olyan szakemberre van szükségem, aki: • lefuttatja a kért leíró statisztikákat (átlag, szórás, gyakoriságok) • elkészíti a korrelációs mátrixot, és jelzi a szignifikáns összefüggéseket • elvégzi az egyszeri vagy többváltozós ANOVA-t a fő hipotézisekhez • áttekinthetően exportálja az SPSS outputot (syntax + .sav) és egy rövid, magyar nyelvű értelmezést ad a kulcseredményekről ...

...البيولوجية الخام التي جمعتها في المختبر (مثل عدّ الخلايا، قيم الامتصاصية، وتركيزات البروتين)، وأحتاج إلى تحويل هذه الأرقام المبعثرة إلى ملف Excel منظم يسهّل عليّ كتابة تقريري العلمي لاحقًا. ما أريده بالتحديد هو تنظيف البيانات أولًا، ثم إجراء التحليل الإحصائي الأساسي داخل Excel فقط—لا أودّ الانتقال إلى R أو Python في هذه المرحلة. بعد التنظيف أحتاج إلى حساب المتوسطات، الانحراف المعياري، وربما t-test أو ANOVA بحسب الحاجة، مع توضيح أي قيم شاذة تم استبعادها. أنتج لي كذلك رسوماً بيانية واضحة (أعمدة، خطوط أو ‎Box-plot) تلخص النتائج بصريًا، وأرفق ملخصًا موجزًا لأهم الملاحظات والاستنتاجات. سأعطيك ملف CSV الأصلي مع ملاحظات عن ظروف التجربة، وأتوقع استلام ملف Excel يحتوي على كل الأوراق المنظمة وصيغٍ يمكن تتبُّعها، إضافة إلى نسخة PDF من الرسوم إن أمكن. سأراجع العمل على مرحل...

I need assistance running and interpreting 10 statistical tests in SPSS. The dataset and variable guide are ready. Tests include t-tests, ANOVA (one-way and two-way), chi-square, regression, correlation, and perceptual mapping. You’ll need to: - Run the analyses in SPSS - Provide outputs with clear labeling - Briefly explain the main results in simple terms (mean differences, significance, relationships, etc.) Ideal for someone experienced with SPSS and academic marketing research. Please share your turnaround time and price.

I have a spreadsheet ready and need a focused inferential statistics check carried out entirely within Excel. The goal is to test a hypothesis, calculate the relevant p-values or confidence intervals, and leave me with clear, reproducible results. Scope (keep it lean): • Clean or structure the data only as much as the analysis requires. • Run the appropriate test(s)—t-test, ANOVA, χ², or similar—using built-in Excel functions or the Analysis ToolPak. • Add transparent formulas so I can trace every calculation. • Include a short written note (1–2 paragraphs) interpreting the outcome and highlighting any assumptions made. Please return an updated .xlsx file with the calculations embedded and no external dependencies.

I need an independent samples t-test and a one way ANOVA performed using SPSS. Requirements: - Analyze two groups of categorical data. - Provide a short report of findings. -Provide the SPSS output table for both Ideal Skills: - Proficiency in SPSS. - Strong statistical analysis background. - Experience with t-tests and report generation.

...estimating purchase probabilities using the exponential formula • Simple Data Visualisation: 1–2 charts (bar or column) comparing brand performance or attribute importance The dataset and structure are already partially built — I mainly need help checking and completing the formulas, structuring the outputs clearly, and ensuring it’s aligned with the assignment brief. No advanced statistics (ANOVA, regression, or t-tests) are required. This is a marketing-focused Excel task using basic analytics principles from Weeks 6–8 of the course. Deliverables: Completed and working Excel file (multi-attribute + MNL models) Clear, labelled outputs ready for report interpretation Optional brief summary table or visualisation Ideal candidate: Experience wit...

I have a full extract of Northern Territory health-record data for the most recent 12-month reporting period, and I need clear, evidence-based insights on how different patient demographic groups compare across key indicators. Scope • Source data: structured EHR export (CSV + SQL dump) containing age, gender, p... Acceptance Criteria • All demographic fields compared side-by-side with clear p-values or confidence intervals. • Visuals exported in both PNG and editable format. • Notebook runs end-to-end on a fresh environment and includes brief inline documentation. If you have recent experience with healthcare datasets, data privacy safeguards and comparative statistical methods (chi-square, ANOVA, logistic regression, etc.), I’d love to see...

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...dataset ready for my Tourism Marketing project and now need the inferential statistics section completed in SPSS. The work centres on running the appropriate T-tests, Chi-square tests, and one-way or factorial ANOVA (as dictated by the variables I will share), SEM and then translating those results into clear, publication-ready tables and narrative explanations that slot straight into my methodology and findings chapters. You will receive the raw data and the specific research questions. In return, I expect: • APA-formatted tables and figures reflecting the T-tests, Chi-square tests, ANOVA, SEM results • A concise interpretation for each test, including effect sizes and assumption checks, written in plain academic prose Accuracy, reproducibility, and adh...

...pH, CEC, OM, N, P, K, Ca, Mg, S, Fe, Mn, Zn, Cu, B Leaf nutrient data: N, P, K, Ca, Mg, Fe, Mn, Zn, Cu, B Each sample has a farm ID (R or C), date/test number. What I Need Done- Descriptive statistics for each nutrient by farm and test (mean, SD, min, max). Comparative tests: Between farms (R vs. C) for each nutrient. Between tests (Test 1 vs. Test 2) for each nutrient within each farm. ANOVA or t-tests, whichever fits best. Correlation or regression between soil and leaf nutrients (optional but ideal). Bar charts and/or line charts showing: Nutrient increases/decreases between Test 1 and Test 2. Differences between R and C for each nutrient. Summary table showing which nutrients significantly changed or differed. Deliverables Clean Excel sheet or CSV with calculat...

...structured survey and a series of semi-structured interview transcripts. For the survey I need you to run the core statistical work in SPSS—descriptive stats, reliability checks, factor analysis where appropriate, and the inferential testing that will help uncover success factors, the impact of technology on service quality, and customer-satisfaction trends. If an extra test such as SmartPLS or ANOVA would sharpen the story, I am open to you including it. For the qualitative side I will supply the interview recordings and cleaned transcripts. Your task is to code them in , surface recurring themes, and connect those themes to our quantitative findings, with particular attention to how Enterprise Social Media influences Social Innovation Performance inside these firms. The...

...structured survey and a series of semi-structured interview transcripts. For the survey I need you to run the core statistical work in SPSS—descriptive stats, reliability checks, factor analysis where appropriate, and the inferential testing that will help uncover success factors, the impact of technology on service quality, and customer-satisfaction trends. If an extra test such as SmartPLS or ANOVA would sharpen the story, I am open to you including it. For the qualitative side I will supply the interview recordings and cleaned transcripts. Your task is to code them in , surface recurring themes, and connect those themes to our quantitative findings, with particular attention to how Enterprise Social Media influences Social Innovation Performance inside these firms. The...

I need a skilled SPSS analyst to help with my experimental data. The main goal is to test hypotheses using various statistical tests. Key tasks include: - Conducting T-tests, ANOVA, and Chi-square tests - Analyzing experimental data - Delivering clear, comprehensive results Ideal skills and experience: - Expertise in SPSS - Strong background in statistics - Experience with experimental data analysis Looking forward to your bids!

...companion file drawn from an educational study—that need to be explored with sound inferential statistics. My goal is to uncover relationships and significant predictors that sit at the intersection of health outcomes and learning performance. Scope • Import, clean, and merge the healthcare and school-based data. • Choose and justify appropriate inferential tests or models (e.g., t-tests, ANOVA, logistic/linear regression, mixed effects). • Run diagnostics to confirm assumptions and robustness. • Supply an annotated script or notebook (R, Python, SPSS, Stata—use what you do best) plus a concise results report that highlights key findings, p-values / confidence intervals, and practical implications. What I need to see from you Please poi...

...dry matter, and a wide set of morphological traits (e.g., vine length, internode length, petiole length, leaf size, root shape, and flesh colour). I plan to analyze the data using AMMI and GGE biplot models, and I would like to request your assistance with the statistical analysis. The data have already been captured and cleaned. What I need is support with: • Performing single-site ANOVA and combined ANOVA across locations. • Running stability analysis using AMMI and GGE models. • Handling outliers and missing values appropriately. • Conducting multivariate analyses (PCA, clustering) to explore morphological variation. • Generating interpretable outputs (tables, figures, dendrograms, and biplots) that can be used in my dissertation and a pot...

I'm looking for an R Studio expert to help with statistical modeling, specifically using categorical data. The primary technique I'll be using is graphical methods. Key requirements include: - Proficiency in R and R Studio - Experience with statistical modeling and categorical data - Str...statistical modeling, specifically using categorical data. The primary technique I'll be using is graphical methods. Key requirements include: - Proficiency in R and R Studio - Experience with statistical modeling and categorical data - Strong skills in graphical representation of data Ideal skills and experience: - Background in statistics - Experience with logistic regression, chi-squared tests, and ANOVA - Ability to create clear, informative graphical outputs Please provide ...

...mixed-variable dataset (nominal, ordinal, and scale items) that now needs to be turned into clear, actionable results. In SPSS I need three tiers of work completed: • Descriptive statistics that summarise each item and produce publication-ready tables and graphs. • Inferential tests to explore group differences and relationships—please choose the most appropriate procedures (e.g., t-tests, chi-square, ANOVA) based on variable types and assumptions. • Regression modelling that explains or predicts key outcomes; linear, logistic, or another suitable model may be used once you inspect the data. Alongside the .sav file output, include a concise methods write-up, labelled syntax, and an interpretation report that I can slot directly into my research paper. C...

I need a sharp Excel analyst to dive i...you prefer—to build a correlation matrix, run the appropriate regressions, and layer in concise commentary that translates the numbers into plain-English insight. Visual aids such as scatter plots or fitted-line charts are welcome wherever they sharpen the story. The finished product should be delivered as a statistics analysis file: an Excel workbook that includes • the raw output (matrices, ANOVA tables, coefficients) • any supporting charts neatly arranged on separate sheets • a short written interpretation beside each key result so stakeholders can grasp the implications without digging through formulas. If anything in the source data looks off or you spot multicollinearity, alert me early so we can address it befor...

... measures of central tendency, dispersion, and any appropriate visual summaries—so I can understand the basic shape of the data. Beyond that foundation, I also want to dig deeper with inferential work. Specifically, I will need: • Hypothesis testing to confirm or refute my key research questions • Regression analysis to explore relationships and predictive strength between variables • ANOVA for comparing group means where relevant Please handle the full workflow: prepare the data if minor cleaning is required, apply the tests in R, SPSS, Stata or Python (your choice), and return both the code/output files and a concise interpretation write-up that I can slot directly into my methodology and results sections. Clarity and reproducibility are essenti...

I need assistance with the statistical analysis of my thesis, focusing on quantitative data. The analysis should include regression analysis, ANOVA, and Chi-square tests. I prefer using SPSS for this task. - Key Requirements: - Analyze quantitative data from my thesis. - Conduct regression analysis, ANOVA, and Chi-square tests. - Use SPSS software for the analysis. - Ideal Skills and Experience: - Proficiency in statistical analysis and SPSS. - Experience with regression analysis, ANOVA, and Chi-square tests. - Strong background in handling quantitative data.

...variance, standard deviation). Additionally, I require assistance with correlational analysis to determine whether the dependent variables (DVs) are influenced by the independent variables (IVs), as well as conducting a one-way ANOVA and calculating the correlation coefficient. I also need the creation of charts to visually represent the information. For the doctoral write-up, I require assistance specifically with the results and discussion sections. Key Requirements: - Perform descriptive statistics analysis in SPSS. - Conduct correlational analysis, one-way ANOVA, and calculate correlation coefficients. - Create charts for data representation. - Assist with the results and discussion sections of a doctoral write-up. Ideal Skills and Experience: - Proficiency in SPSS...