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Student’s Rating 4.97/5
I am an expert in Inferential Statistics. Learn complex concepts in a 1:1 online tutoring session, or ask me to do your homework. I will ensure top grades in your exams and homework.
“15 years of experience. Top Tutor, Ph.D. in Statistics from a top university of India.”
Neeraj K
Student’s Rating 4.93/5
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“23 years of experience. Masters in Statistics from ISI”
Jitendra S
Student’s Rating 4.92/5
I can explain complex concepts in easy to understand manner and solve problems fast. Top grades are assured in your Inferential Statistics exams and homework.
“6 years of experience. Expert in Statistics and Probability.”
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Inferential Statistics online tutoring
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University of Colorado
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AUM
How can MEB help you with Inferential Statistics (or Statistical Inference)?
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Cost
How much does online Inferential Statistics tutoring cost?
The Online Inferential Statistics tutoring cost depends on your grade/level and number of sessions and varies from tutor to tutor. For an idea, it costs anywhere from $20 to $40 per hour.
What is the cost of Inferential Statistics homework help (labs, projects, essays, assignments, etc.)?
The cost of homework depends on the effort required to solve it. Share your assignment with us on WhatsApp, and we will check and quote you the fee.
About Inferential Statistics
What is Inferential Statistics?
The statistical technique that focuses on drawing inferences or conclusions from the statistical data is called Inferential Statistics/Statistical Inference. In contrast to descriptive statistics, which primarily focuses on summarising the data and highlighting its characteristics, Inferential Statistics aims to use the data for useful purposes.
What are the different Paradigms for inference?
Inferring from a data set can be done in several ways. The four most common schools of thought or paradigms are:
 Frequentist or classical inference: pvalue, Confidence interval, and Null hypothesis are examples.
 Bayesian inference: Model comparison using Baye’s factors, Interval estimation using credible intervals are examples.
 Likelihoodbased inference: maximum likelihood estimation is an example.
 AIC or AkaikeanInformation Criterion
Some other methods are Structural inference, Minimum description length, and Fiducial inference.
(Credit: Wikipedia)
Important topics in Inferential Statistics (Statistical Inference)
 Theory of Point Estimation: Sufficient, Consistent, Efficient, and Unbiased estimator
 Methods of Estimation: Methods of the moment, Maximum likelihood, Least square, Minimum x^2
 Hypothesis testing
 Likelihood Ratio Test
 Interval Estimation: Confidence interval and its construction, Neyman’s Criterion for the shortest length of CI
 Nonparametric Test: One sample (ChiSquare, Sign, Kolmogorov–Smirnov, Run, Wilcoxon SignedRank tests), Paired sample (BiVariate single or pairedsample sign test), Two sample test, Tolerance limits, Combination of tests,
 Statistical Decision Theory: Methods of finding Baye’s rule, Minimax rule, Complete and Minimal Complete Class of Decision Rules, OptimalDecisionRule
(Topics credit: Estimation and Inferential Statistics by Pradip Kumar Sahu, Santi Ranjan Pal)
Can I learn Inferential Statistics on my own, or do I need a tutor?
Inferential Statistics or Statistical Inference can be pretty challenging, especially if you are taking an advanced course. If you need help with your homework or want someone to explain the concepts in an online tutoring session on a 1on1 basis, feel free to contact us. We are available on WhatsApp 24×7.
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