About me

Being a online expert my best answer rating is more than 90% and i covered all the topics like Regression, Correlation, Testing of hypothesis, Probability, Estimation, Random variables

I can Teach:

Theory of Probability, Simple Random Sampling, Stratified Random Sampling, Systematic Sampling, Cluster Sampling, Double Sampling, Charts and Diagrams, Variance, Standard Deviation, Skewness, Kurtosis, Percentiles and Quartiles, Tree Diagrams, Coefficient of Variance, Mean

Teaching Experience

I have 10+ years of teaching experience to teach various topics in statistics.

My Expertise

Top subjects

The result of an irregular occasion can't be resolved before it happens, yet it might be any of a few potential results. The real result is viewed as dictated by some coincidence.

A basic arbitrary example is a subset of a factual populace wherein every individual from the subset has an equivalent likelihood of being picked

The Stratified random sampling is a method of sampling that involves the division of a population into smaller sub-groups known as strata. In stratified random sampling, or stratification

The systematic sampling is a type of probability sampling method in which sample members from a larger population are selected according to a random starting point but with a fixed, periodic interval.

The Cluster sampling refers to a type of sampling method . With cluster sampling, the researcher divides the population into separate groups, called clusters. Then, a simple random sample of clusters is selected from the population

Variance in statistics is a measurement of the spread between numbers in a data set. This means, it measures how far each number in the set is from the mean and therefore from every other number in the set.

Standard deviation is the measure of dispersion of a set of data from its mean. It measures the absolute variability of a distribution

The mean or average of a data set is found by adding all numbers in the data set and then dividing by the number of values in the set.

The median is the middle number in a sorted, ascending or descending, list of numbers and can be more descriptive of that data set than the average.

The mode is the value that appears most frequently in a data set.

The Chi Square distribution is the distribution of the sum of squared standard normal deviates

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