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UNISA ASSIGNMENT HELP, POE HELP
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Description
EXTRA EXTRA, READ ALL ABOUT IT
✅️Assignment help
✅️Academic writing services
✅️Online short courses
✅️Assignment outline sessions
✅️Portfolios and research proposals
✅️Guidance counseling and career coaching
Education (All Phases)
Psychology
Communication sciences
Occupational Health and Safety
Business Management
Logistics & Supply Chain Management
English, inquire for unlisted courses
CONTACT
CALL: 068 472 2228
WHATSAPP: 068 472 2228
EMAIL: excellenceeducation.edu@gmail.com
UNISA, MANCOSA, REGENCY, SACAP, SANTA, STADIO, IIE, ROSEBANK COLLEGE, VARSITY COLLEGE, WITS, UCT & OTHER DISTANCE LEARNING INSTITUTIONS.
Id Subtitle 1265607447
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MISS M
Selling for 6+ months
Total Ads22
Active Ads10
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22Total Ads
1.10KTotal Views
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In my part time I analyse, interpret and write up chapter 4/5 thesis, in 3-5 days. I am an experienced STATISTICIAN/RESEARCHER and PHD Finalist (University of Pretoria), with 15 plus years’ experience in quantitative analysis. My experience is specifically on cross sectional and longitudinal research (econometric models and survival models) processes. I have also supervised Masters thesis. My profiles online for morehttps://www.linkedin.com/in/christopher-manyamba-04490713/http://oasis.col.org/handle/11599/3934?show=fullhttps://www.up.ac.za/news/post_1722144-up-student-wins-fellowship-to-study-womens-empowerment-indexhttps://researchspace.ukzn.ac.za/handle/10413/88221. Proposal development: Intro, Literature review, Methodology (study design, approach, sampling, reliability, ethical issues)2. Univariate analysis: Frequencies. Means and std deviations for continuous data, tables and graphs;3. Bivariate analysis: pairwise correlation, Spearman’s for non-parametric and Pearson’s for normally distributed data;4. For Likert scale data, reliability (Cronbach’s alpha) and normality tests (Wilk Shapiro tests, skewness, kurtosis);5. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank, Kruskal Wallis);6. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS), Partial/Pooled effects; Factor/Principal component analysis;7. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results8. Time-series, Econometric Models: Autoregressive Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL) family models. The stepwise analysis includes setting data to time series, white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests;9. Survival analysis (epidemiological): Includes setting data to survival, run descriptive stats with survival analysis family of analysis. Survival analysis: Censoring, prevalence and incident rates, regression models e.g. Cox proportionate regression, interactions (log-rank, and Kaplan Meier survival functions graphs);10. Checking multicollinearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre-model estimation;11. Software experience: Excel, SPSS, STATA EViews (advanced/excellent), EPI Info (intermediate), R (intermediate), SAS (Intermediate). If you need to self-tutor STATA, you can get a STATA version 15-30-day trialWhattsapp 0732177216
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INVES DRIVING SCHOOL
We offer learners licence and driving lessons at Anderson Shaft Street, Johannesburg next to John Voster police station
CODE 08 DRIVING LESSONS
1 * Lessons = R180
5 * Lessons = R900
10 * Lessons = R1800
15 * Lessons = R2700
CODE 10 DRIVING LESSONS
1 * Lessons = R180
5 * Lessons = R900
10 * Lessons = R1800
15 * Lessons = R2700
Code 14 DRIVING LESSONS
1× lesson = R300
5× lesson = R1500
10× lesson =
R3000
Learners Licence R200 until you pass
Pick up and drop off around jhb
Package code 08 (10 Lessons + Car hire) = R2300
Package code 10 (10 Lessons + Truck hire) = R2500
Package code 14 (10 Lessons + Truck hire) = R4500
BRANCHES
1. JHB (CBD)
2. SOWETO, FREEDOMPARK (DEVLAND)
3. TSHIDZINI, (THOHOYANDOU VENDA)
CONTACT US 082 732 4862 or 072 043 4444
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