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Online Statistics Assignment Help for College and University Students

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  • Finance
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  • Measures of central tendency - These are methods used to describe the central position of a frequency distribution in data. Different measures of central tendency include mean, mode and median.
  • Measures of variability – These are methods of summarizing a group of data. You can do it by describing how to spread out the scores are.

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Latest Blogs on Statistics

Our Blogs discuss the trending topics in statistics that students are taught in their university. We hope the blogs would unveil you some of the most in-depth concepts.

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Hypothesis testing
Hypothesis testing is a way used to test the results of a survey to see if you have the right or meaningful results.
Central limit theory
Central limit theorem notes that a sampling distribution of a sample means approaches a normal distribution as the sample size becomes bigger. This is not affected by the shape of the population distribution.
Sampling

Sampling is a method of selecting members from a population to make statistical inferences in order to have a conclusion of the population. Samples represent an entire population. Sampling methods include;

  1. Probability sampling – In this method, a researcher chooses members of a population randomly. There are four types of probability sampling, which include;
    • Simple random sampling
    • Cluster sampling
    • Systematic sampling
    • Stratified random sampling
  2. Non-probability sampling – This method involves a collection of feedback based on the researcher's sample selection capabilities. There are four methods of non-probability sampling, which include;
    • Convenience sampling
    • Purposive sampling
    • Snowball sampling
    • Quota sampling
Univariate and Bivariate analysis
In univariate analysis, there is only one dependable variable. Its objective is deriving data, defining it, and summarizing it. On the other hand, multivariate analysis is needed when more than two variables need to be analyzed together.
Estimation
Estimation is the process where one makes inferences about a population drawn from information obtained from a sample.
Probability distribution
Probability distribution is a mathematical function that gives the probability of an occurrence or a possible outcome during an experiment.

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ANOVA analysis

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Hypothesis testing

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T-test

The T-test is a statistical test conducted on categorical data to test for the equality of means in the two categories. Pretty straightforward, but in some cases, it could be challenging.

Regression analysis

Mostly, regression analysis is used to identify the relationship between the independent and dependent variables. After the best fitting equation has been obtained, it’s used for prediction. The world of or regression analysis is wide. In its simplest form, we have linear regression, while in advanced cases, we have Bayesian regression and lasso regression. Our online statistics tutors are well versed in with all the types of regression methods


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  2. Sampling – This is a method of selecting a subset or individual members from a population to make inferences from them and estimate the characteristics of the population. In statistics, samples collected during the sampling process represent the entire population. There are different types of sampling which include;
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  3. Univariate and bivariate analysis – We cover univariate and bivariate. Univariate analysis has one dependable variable, while bivariate analysis works when more than two variables have to be analyzed together. If you have an assignment on either of the two, we have a professional who will complete it for you.
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