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Introductory Statistics Assignment Help|Introductory Statistics Online Experts|Introductory Statistics Homework Help


Get custom writing services for Introductory Statistics Assignment help & Introductory Statistics Homework help. Our Introductory Statistics Online tutors are available for instant help for Introductory Statistics assignments & problems.

Introductory Statistics Homework help & Introductory Statistics tutors offer 24*7 services . Send your Introductory Statistics assignments at support@globalwebtutors.com or else upload it on the website. Instant Connect to us on live chat for Introductory Statistics assignment help & Introductory Statistics Homework help.

Online Introductory Statistics 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 Hypothesis testing, Regression, Descriptive and inferential statistics, Distribution, variation in a distribution, Symmetry or skewness in a distribution.

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  • Outliers, Bias versus chance error, Plotting points and lines, Slope and the intercept of a line, Correlation:, Scatter diagram, Correlation coefficient, Ecological correlations, Sd line., Regression:Graph of averages,Regression to the mean,R.m.s. Error, Plotting residuals, Heteroscedasticity, Slope, Intercept, Method of least squares,, Probability, Long run argument,, Conditional probabilities,, Multiplication rule, Collins case,Addition rule, Binomial formula
  • Chance variability, Expected value, Standard error,Normal curve,, Probability histograms, Sampling, Chance errors in sampling:Standard error, Correction factor,Gallup poll,, Accuracy of percentages, Confidence intervals, Accuracy of averages, Se and expected value of an average, Tests of significance:, Null and alternative hypotheses, Test statistics and significance levels, Box model, Zero‐one boxes, Z‐tests, T‐tests, Data snooping

Generally topics like Random sampling, Normal distribution, Central limit theorem, One and two sample hypothesis tests are considered very complex & an expert help is required in order to solve the assignments based on topics like Confidence intervals involving means and proportions, Variance.

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Help for complex topics like :

  • Exploratory data analysis, Probability, Estimation, Exploring Data with graphs, Measures of Center, Shape, and Spread  ,Exploring Relationships between Two Variables , Regression  ,Cautions with Regression, Data from Surveys/Experiments and Probability,Probability and Probability Distributions,Probability Distributions ,Sampling Distribution for the Sample Proportion 
  • Sampling Distribution for the Sample Mean ,Distributions,Confidence Intervals for the Population Proportion and Population Mean,Confidence intervals, Significance Test for the Population,Proportion,Comparing Means from Independent and Dependent Samples,Significance Test for the Population Mean 
  • Descriptive statistics & data visualization,probability,point and interval estimation,hypothesis testing,inference for a single population,comparisons between two populations,one- and two-way analysis of variance,analysis of categorical data,simple linear regression,multiple linear regression

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Topics like Chi-square goodness-of-fit test, Two-way contingency table, Pearson correlation and testing & the assignment help on these topics is really helpful if you are struggling with the complex problems.

  • Statistics and Probability Theory, What Relates Statistics and Probability, What Differentiates Statistics and Probability
  • PROBABILITY THEORY, Events , What are events, Notation, Unions, intersections and complements of events , Probability of events, The three axioms of Probability, Mutually exclusive events, Independence of events, Conditional probability of events, Examples of probabilities
  • Random variable and its probability distribution, What is a random variable?, Definition of a discrete random variable, The probability distribution of a discrete random variable, Parameters, Definition, Parametric functions, Measure of central tendency and dispersion of a random variable
  • The Binomial distribution, Mean and variance of a binomial distribution
  • Many random variables, Independently and identically distributed random variables
  • Mean and variance of sum and average of iid random variables, General formulas
  • Continuous random variables, Definition, Probability density function, Probability and the area under the curve, The mean and the variance of a continuous random variable
  • The Normal distribution, Normal distribution curve, The standardization procedure, Five popular numbers related to standard normal distribution, The Central Limit Theorem, The chi-square distribution

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