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Statistics Assignment Writing Service

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Statistic Assignment Helper

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Writers for Statistics Assignment

Ability to hold a Master’s or a doctorate degree in Statistics or the related discipline.
Statistical skills such as knowing how to handle SPSS, R, SAS and similar software.
Having carried out a lot of statistical analysis and drawing of upwards conclusions.
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Competent communication and collaborative skills to fulfill clients’ satisfaction.

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Instructors

This course includes:

Descriptive Statistics
Inferential Statistics
Regression Analysis
Experimental Design
Statistical Computing

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Topic Covered- Statistic Assignment

Statistics Assignment Help

Data collection methods
Data analysis techniques
Report writing
Project management
Statistical presentation skills
Interpretation of statistical results
Problem-solving in statistics
Case studies in statistical analysis

Descriptive Statistics Assignment Help

Measures of central tendency
Measures of variability
Frequency distributions
Percentiles and quartiles
Skewness and kurtosis
Histograms and bar charts
Box plots
Measures of association (correlation)

Inferential Statistics Assignment Help

Sampling distributions
Central limit theorem
Confidence intervals
Hypothesis testing procedures
Parametric tests (t-tests, ANOVA)
Non-parametric tests (Mann-Whitney U, Kruskal-Wallis)
Chi-square tests
Power analysis

Probability Theory Assignment Help

Basic probability concepts
Conditional probability
Probability distributions (binomial, Poisson, normal)
Joint probability distributions
Bayes’ theorem
Random variables
Expected value and variance
Probability density functions
Statistical Modeling Assignment Help
Linear regression models
Generalized linear models
Time series models (ARIMA)
Survival analysis models
Factor analysis
Structural equation modeling (SEM)
Hierarchical linear models
Latent growth curve modeling

Regression Analysis Assignment Help

Simple linear regression
Multiple linear regression
Logistic regression
Polynomial regression
Stepwise regression
Assumptions of regression analysis
Model interpretation
Model diagnostics

Hypothesis Testing Assignment Help

Null and alternative hypotheses
Type I and Type II errors
One-sample t-test
Two-sample t-test
Analysis of variance (ANOVA)
Chi-square test
Paired t-test
Wilcoxon signed-rank test

Bayesian Statistics Assignment Help

Bayesian inference
Prior and posterior distributions
Markov chain Monte Carlo (MCMC) methods
Bayesian hierarchical models
Bayesian estimation
Bayesian model comparison
Bayesian network analysis
Bayesian regression

Experimental Design Assignment Help

Randomized controlled trials
Factorial design
Blocking and stratification
Latin square design
Cross-over design
Fractional factorial design
Response surface methodology
Experimental error analysis

Sampling Techniques Assignment Help

Simple random sampling
Systematic sampling
Stratified sampling
Cluster sampling
Multi-stage sampling
Convenience sampling
Snowball sampling
Quota sampling

Time Series Analysis Assignment Help

Time series components (trend, seasonality, cyclicality)
Autocorrelation function (ACF)
Moving average models (MA)
Autoregressive models (AR)
Autoregressive integrated moving average models (ARIMA)
Seasonal decomposition methods
Forecasting techniques
Time series model diagnostics

Non-parametric Statistics Assignment Help

Mann-Whitney U test
Kruskal-Wallis test
Wilcoxon signed-rank test
Rank correlation methods (Spearman, Kendall)
Friedman test
Bootstrapping methods
Permutation test
Non-parametric regression

Data Visualization Assignment Help

Scatter plots
Histograms
Box plots
Bar charts
Line graphs
Heatmaps
Pie charts
Interactive visualizations (using tools like D3.js or Plotly)

Statistical Software Assignment Help

Data manipulation (data importing, cleaning, reshaping)
Basic statistical analysis (descriptive statistics, hypothesis testing)
Data visualization techniques
Scripting and programming fundamentals
Statistical modeling and regression analysis
Time series analysis
Machine learning algorithms
Package/library management and utilization

Business Analytics Assignment Help

Descriptive analytics
Predictive analytics
Prescriptive analytics
Customer segmentation
Market basket analysis
Churn prediction
Customer lifetime value (CLV) analysis
A/B testing in business

Spatial Statistics Assignment Help

Spatial autocorrelation
Spatial interpolation techniques
Geostatistics
Point pattern analysis
Spatial regression models
Spatial clustering techniques
Remote sensing data analysis
Spatial data visualization

Social Statistics Assignment Help

Demographic analysis
Survey research methods
Social network analysis
Quantitative content analysis
Social indicators and indices
Longitudinal data analysis in social sciences
Structural equation modeling in social research
Applied social research methods

Reliability and Validity Assignment Help

Reliability measures (internal consistency, test-retest reliability)
Validity types (content validity, criterion validity, construct validity)
Reliability estimation techniques (Cronbach’s alpha, inter-rater reliability)
Factor analysis for validity assessment
Item response theory (IRT)
Sensitivity and specificity analysis
Diagnostic test evaluation
Measurement error analysis

Bayesian Networks Assignment Help

Directed acyclic graphs (DAGs)
Conditional probability tables (CPTs)
Inference algorithms (variable elimination, belief propagation)
Learning Bayesian networks from data
Causal inference using Bayesian networks
Applications in decision support systems
Bayesian network validation and sensitivity analysis
Hybrid Bayesian network models

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