Topics Included In Online Statistics Homework Help We Provide

Here, we are listing down all the topics that students usually seek for getting their homework done. We ensure that you get a step by step solution so that you can understand

1.    Random Variables/Processes

It is also known as the random quantity, aleatory variable, or stochastic variable. It is a measurable function and depends on the law of probability. It predicts the result of an activity that is yet to be executed or already carried out in the past whose result is uncertain.

2.    Probability

(Conditional Probability, Probability of an event, Continuous and Discrete Probability Distributions as well as their properties): Basically, it gives an idea of whether the given event shall occur or not on the scale of 0 to 1. Here, 0 indicates the null chance and 1 depicts maximum chances. It has a wide area of application likewise risk management, finance, mathematics, machine learning, gaming, physics, game theory, and computer science.

3.    Regression Analysis

It is a tool to find or judge the relationship between dependent variables or one or more than one dependent variable. A unique of this method is that it compulsively reveals dependent variables. The common form of relationship found in an experiment is linearity. It is most applicable in forecasting and prediction.

4.    ANOVA (Analysis of Variance)

It is a group of statistical models whose aim is to find a difference among a given set of samples. It is based on the law of total variance. Here, observed variance is divided into components, each component depicts a variety of sources of variance.

5.    Organizing and Graphing Data

The majority of assignments work is assigned to chart or graph the given set of information, it may include qualitative or quantitative data. There are numerous ways to represent data on graphs like histogram, bar graph, line chart, pie chart, area chart, bubble chart, and candlestick.

6.    Chi-Square Test

Mathematically is written as χ² test. Many models of such tests are compiled namely, Pearson’s χ2 test, Fisher’s exact test, Binomial test,Cochran–Mantel–Haenszel chi-square test and McNemar’s test.

7.    Sampling Distribution

It is a probability-based model where the sample is assessed. It is also known as finite-sample distribution. It simplifies the data and its result is making headway for statistical inference. Monte-Carlo simulations, bootstrap methods, asymptotic distribution theory, and standard deviation are the tools or methods of sampling distribution.

8. Continuous Random Variables

It is a kind of variable whose value cumulative distribution function is continuous all over the sample or given set information. It has no exact value and it has no gaps. It conforms to probability density functions (PDF) and this distribution is also known as absolutely continuous. Topics like exponential distribution, uniform distribution, normal distribution, normal distribution, standard normal variable, binomial distribution are included here.

9. Estimation of Mean and Proportion

In this area of statistics topics like point and interval estimates, estimation of the population mean estimation of a population proportion for outsized samples are included.

10. Hypothesis Tests

It is also referred to as confirmatory data analysis. We have expertise in delivering assignments on subjects like null and alternative hypothesis statements, z test and populace standard deviation etc.

Other Topics Included

• Dispersion Measures- Mean deviation, Standard deviation, Variance
• Central tendency measures- Mean, Median, and Mode
• Forecasting and Time Series Analysis
• Sampling Theory
• Confidence Intervals
• Z-tests, T-tests
• Testing of Hypothesis
• Power and Confidence Intervals
• Sample Surveys
• Scaling of Ratings and Scores
• Causation and Correlation
• Factor Analysis
• Linear Programming Problems.
• Probability distributions – Binomial, Normal, Hypergeometric Poisson, etc.