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Statistics Assignment Help

homeworkassignmenthelp.co.uk is provide Statistics assignment help service online,Today Statistics is essential part of our life . Statistics is the study of the collection, organization, analysis, interpretation and presentation of data. It deals with all aspects of data including the planning of data collection in terms of the design.Statistic improve data quality by developing specific experiment designs . Statistics itself also provides tools for prediction and forecasting the use of data through statistical models.Statistics is closely related to probability theory. The difference is, roughly, that probability theory starts from the given parameters of a total population to deduce probabilities.Statistics is typically considered a distinct mathematical science rather than as a branch of mathematics. Statistics introducing the concepts of standard deviation, correlation, regression and the application of these methods to the study of the variety of human characteristics - height, weight, length etc.Statistical techniques are used in a wide range of types of scientific and social research, including: biostatistics, computational biology, computational sociology, network biology, social science, sociology and social research.

The basic steps of a statistical

  • Planning the research, including finding the number of replicates of the study, using the following information: preliminary estimates regarding the size of treatment effects, alternative hypotheses, and the estimated experimental variability.
  • Design of experiments, using blocking to reduce the influence of confounding variables, and randomized assignment of treatments to subjects to allow unbiased estimates of treatment effects.
  • Performing the experimental protocol and analyzing the data following the experimental protocol.

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Aside from Statistics assignment help, students can get assignment help in numerous other topics such as:

  • Tabular and Diagrammatic Presentation of frequency and non-frequency data
  • Measures of Central Tendency
  • Dispersion
  • Skewness and Kurtosis
  • Probability of an event
  • Conditional Probability
  • Independence of events
  • Discrete and Continuous Probability Distributions and their properties
  • Regression Analysis
  • Correlation Analysis (Including Rank correlations)
  • Random sample generation
  • Computation of expectation and standard error
  • Point and Interval Estimation of Parameters
  • Maximum Likelihood Estimation
  • Testing of Hypothesis
  • Power and Confidence Intervals
  • Non-parametric Tests
  • Contingency tables and Chi-square Test
  • Analysis of Variance (ANOVA)
  • Design of Experiments
  • Sample Surveys
  • Time Series Analysis and Forecasting
  • Scaling of Scores and Ratings
  • Z-Scores
  • T-scores
  • Principal Components
  • Factor Analysis
  • Cluster Analysis
  • Discrimination and Classification .

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