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Quantitative methods Assignment Writing help, Quantitative methods Homework help


We at Global web tutors provide expert help for Quantitative methods assignment or Quantitative methods homework. Our Quantitative methods online tutors are expert in providing homework help to students at all levels. Please post your assignment at support@globalwebtutors.com to get the instant Quantitative methods homework help. Quantitative methods online tutors are available 24/7 to provide assignment help as well as Quantitative methods homework help.

Online Quantitative methods Assignment help experts with years of experience in the academic field as a professor are helping students online at Undergraduate , graduate & the research level .Our tutors are providing online assistance related to various topics like Point Estimation, Interval Estimation , Comparison of Two Groups I, Comparison of Two Groups II , Hypothesis Testing I , Hypothesis Testing II , Contingency Tables , Correlation and Regression.

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Quantitative Methods
 
  • Basic Statistical Concepts and Notation , TMeasures of Central Tendency, Frequency , Distributions, Plotting Data & Reading Graphs, Measures of Dispersion or Variability , Basic Concepts of Probability , Probability, Normal Distributions, & z-Scores , Sampling Distributions , Intro to Hypothesis Testing , z-Tests and Intro to t-Tests, t-Tests , Estimation & Confidence Intervals
  • Introduction to ANOVA , ANOVA II (One-Way, Repeated Measures) , Correlation , Linear Regression , Nominal Data & The Chi-Square Test , Nonparametric & Distribution-Free Tests , Orientation and review of syllabus and resources available, Types of measurement – nominal, ordinal, interval, ratio. , Independent vs. dependent variables. Issues in scientific , measurement: Reliability and validity
  • Measures of central tendency – mean, median, mode. , Graphing frequency distributions, Measure of variability – range, variance, and standard , deviation. Kurtosis and skew., Characteristics of the normal distribution, Z-scores and their use, Fundamental Principles. The Sampling Distribution of the , Mean and its charactersitics. The Z-test and confidence , intervals. Null and alternative hypotheses
  • Alpha levels and , statistical significance., The t-test – Testing for mean differences. , Single-sample t-test. Inferences about populations from , samples. Confidence intervals with t-values., The Sampling Distribution of the Difference and the
  • independent samples t-test. , Confidence intervals for mean differences , Nominal data and the chi-square test , Quantitative Research Design (SS) , Treatment Effects and Linear Regression (MMC), Linear Regression: Mechanics (K) , Linear Regression: Properties , Linear Regression: Inference (K) , Instrumental Variables (MW, Instrumental Variables (MW) , Regression Discontinuity (MW) , Selection Models (MW) , Panel Data Estimation, 
 
 
Quantitative Methods
 
  • Quantitative Research Design, Treatment Effects and Linear Regression , Linear Regression: Mechanics , Linear Regression: Properties , Linear Regression: Inference , Instrumental Variables , Instrumental Variables , Regression Discontinuity , Selection Models , Panel Data Estimation, Regression models , Multiple linear and non-linear regression and correlation, Methods of construction and premises of linear regression models, Estimations in multiple linear regression and correlation
  • Testing hypotheses in multiple linear regression and correlation, Multiple regression and correlation analysis using computers, Time series models , Index analysis, Fisher axiomatic theory of indices, Modern methods of index decomposition and absolute differences, Quantitative part of pyramidal analysis, Multi-dimensional statistical methods , Classification of multi-dimensional statistical methods
  • Methods of correlation structures analysis , Methods of multi-dimensional classification and typology , Solution of multi-dimensional analysis issues using computers, Linear programming , Multi-programming, Targeted programming, Parametric programming, Specific types of distribution problems, Non-linear programming , Dynamic programming, Discrete problems of dynamic programming, Bellman principle of optimum, One- and two-parameter reproduction model, Conjunctive optimisation problems, Pontrjagin principle of maximum
  • Structural analysis , Structural optimisation models, Stability of technical coefficients and their updating, Dynamic structural models, Sgtochastic models, Markov chains , Markov processes, queuing systems, Inventory management models, Models of renovation, Simulation models, Variables, Documentary, Descriptive Statistics and Measurement, Descriptive Statistics , Measurement , Reliability and Validity, Sampling and Survey Research, Survey Research , Sampling Methods , Hypothesis Testing, Content Analysis, Research Structure and Literature Reviews, Hypothesis Testing, Chi-Square test, ANOVA, One-Way Analysis of Variance, Correlation Analysis

Quantitative Safety Tech

  • Quantitative safety analysis
  • chemical processing
  • fire
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  • accident case studies
 

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