Statistics Assignment Help

Statistics Assignment Help | Statistics Homework Help

statistics assignment help

Statistics Assignment Help

Complexity of statistics subject is well known. Statistics involves solving complex problems having multi-dimensional data using computational methods. Information technology has played a vital role in handling and simplifying such complex methods and scenarios but students face a lot of difficulties in understanding the right application of statistical concepts and implementing them using statistical softwares. Our statistics assignment help service has been strategized and simplified to help students in learning statistics problem solving. We use latest and genuine tools & softwares to make statistics easy. We deliver step by step help with statistics assignments which is self-explanatory to make students understand the method of solving problems without any inconvenience.

We provide statistics assignment help in all areas like probability theory, random variables, distribution function, standard deviation, hypothesis testing, binomial distribution, poisson distribution, normal distribution, analysis of variance (ANOVA), chi-squared test, linear regression etc. Apart from basic statistics problems, we also help in statistical softwares like SAS, SPSS, R, Minitab, Eviews, Megastat, Gretl, JMP, STATA etc. These softwares are widely used by statistics professors for statistical analysis, business forecasting, data mining, operations research and project management.

What is Statistics?

Statistics is a subject that deals with collection, tabulation, presentation, analysis and interpretation of the numerical data.  Statistics are generally used in our day-to-day life to make decisions that may be related to our own business or job, personal work, and/or for some other reasons, where these decisions are mostly taking under the conditions of uncertainty. For example, a businessman, who is having sufficient experience in his own business, can estimate the sales of a particular product on the forthcoming week based on the sales of the same product during the previous months. In this example, the businessman using statistics for estimating the sales of a product only based on his experience, but not based on any standard statistical models.  Similarly, the usage of statistics is widely increased in each and every field that deals with qualitative or quantitative data or both. In particular, due to a phenomenal growth in science and technology, the application of statistical theory and its methods are highly increasing in various disciplines such as Actuarial Science, Biostatistics, Business Analytics, Econometrics, Epidemiology, Reliability Engineering, and Statistical Finance. We have streamlined our statistics homework help service to cater scholars of various fields seeking assistance with stats.

The main advantage of statistics is to organize the raw data in the form of tables, graphs and charts, which is very easy to understand the basic characteristics of each variable in the data. Then it is mainly used to analyze the sample data using suitable statistical methods/models to make some inference about the population from which the sample was drawn. Like other fields of study, it has been classified into two types, namely Theoretical Statistics and Applied Statistics.

Statistics Homework Help

If you are seeking for statistics assignment help then we are available 24X7 for you. Our statistics assignment tutors are qualified experts having a good hand on various statistics problems and applications. We also assist student in their statistics dissertations and projects involving collection of economic data and analyzing it through the use of softwares.

We provide excellent statistics assignment help and assistance in the field of econometrics, applied statistics, quantitative methods, mathematical statistics, business statistics and operations research. We follow a strategic approach in solving and presenting the assignment. With the comprehensive use of tools, graphs, histograms, pie charts, diagrams, tables you can be rest assured of expecting a higher grade in your assignments. As far as software based assignments are concerned we provide analysis and explanation in a word file along with necessary code file and output file. We also assist students in their online statistics quizzes, exams and blackboard  homework.

We offer Statistics Assignment help in following areas: 

  • Probability theory
  • Random variables
  • Distribution function
  • Expected value and variance
  • Chebyshev’s Inequality
  • Law of Large Numbers
  • The Central Limit Theorem
  • Median and quartiles
  • Mean value
  • Empirical standard deviation
  • Statistical hypothesis testing
  • Binomial distribution
  • Poisson distribution
  • Geometrical distribution
  • Hypergeometrical distribution
  • Multinomial distribution
  • Negative binomial distribution
  • Exponential distribution
  • Normal distribution
  • Tests in the normal distribution
  • Analysis of variance (ANOVA)
  • chi-squared test
  • Contingency tables
  • Distribution-free tests
  • Linear regression
  • SAS
  • SPSS
  • Minitab
  • Eviews
  • PhSTAT
  • R
  • Gretl
  • Megastat
  • JMP
  • Excel

For more help with Statistics assignment click the button below to submit your task:

Statistics Homework Topics:
Random Variables
Mean Variance Standard Deviation
Expected Value And Variance
Functions Of Statistics
Limitations Of Statistics
Types Of Correlation
Positive Negative Correlation
Simple Partial Multiple Correlation
Linear Non Linear Correlation
Methods Of Studying Correlation
Scatter Diagram Method
Graphic Method
Karl Pearson Coefficient Correlation
Coefficient Of Correlation Error
Coefficient Of Determination
Rank Correlation Coefficient
Features Of Spearman Correlation Coefficient
Concurrent Deviation Method
Merit Limitation Of Deviation Method
Calculation Of Correlation
Correlation Analysis
Correlation And Regression Analysis
Graphic Regression Lines
Limitations Of Regression Analysis
Regression Equation Correlation Table
Regression Equations
Standard Error Of Estimate
Correlation And Causation
Coefficient Of Correlation
Merits Of The Pearson Coefficient
Merits And Limitations Of The Rank Method
Regression Analysis
Regression Lines
Significance Of Correlation
Uses Of Regression Analysis
Distrust Of Statistics
Statistical Vs Experimental Methods
Statistics Science Or Art
Statistics And Computer
Statistics Defined
Scope Of Statistics
Arithmetic Mean
Meaning Objects Of Classification
Objectives Of Average
Requisites Of A Good Average
Tabulation Of Data
General Limitations Of Average
Geometric Mean
Harmonic Mean
Importance Of The Probability
Lorenz Curve
Merits Limitation Of Mean Deviation
Merits Limitation Of Quartile Deviation
Merits Limitations Of Standard Deviation
Probability Defined
Significance Of Measuring Dispersion
The Mean Deviation
The Standard Deviation
Theorems Of Probability
Bayes Theorem
Binomial Distribution
Importance Of Normal Distribution
Normal Distribution
Properties Of Normal Distribution
Role Of The Poisson Distribution
Poisson Distribution
Ingredients Of Decision Problem
Procedure Of Testing Hypothesis
Properties Of Good Estimator
Standard Error Sampling Distribution
Test Significance For Large Samples
Tests Significance For Attributes
Tests Significance For Small Samples
The Variance Ratio Test F Test
Utility Of Concept Of Standard Error
Z Test Of Significance Of Correlation
Decision Tree Analysis
Optimal Decisions
Steps In Decision Tree Analysis
The Bayes Principle
The Manimax Principle
Utility Of Time Series Analysis
Components Of The Series
Classification Of Index Number
Dorbish And Bowleys Method
Fishers Ideal Index
Index Numbers Defined
Laspeyres Method
Methods Constructing Index Number
Paasches Method
Problems Construction Of Index Numbers
Unweighted Index Numbers
Uses Of Index Numbers
Weighted Index Numbers
Marshall Edgeworth Method
Quantity Or Volume Index Number
Value Index Number
Time Reversal Test
Tests Of Index Number Formulae
Kellys Method
The Maximin Principle
Circular Test
Factor Reversal Test
Base Shifting
Construction Of Consumer Price Index
Consumer Price Index Numbers
Method Of Constructing The Index
Index Number Industrial Production
Business Statistics
Linear Programming LP
Mathematical Statistics
Statistical Inference
Statistical Simulation
Central Limit Theorem
Chi Square Distribution
Markov Chains
Econometrics Methods
Stem And Leaf Plots