Descriptive Statistics Assignment Help, Descriptive Statistics Homework Help
Descriptive statistics are coefficients that are used to describe the characteristics of data in a study. Graphics analysis and descriptive statistics form the basis of virtually every quantitative analysis of data. Unlike inferential statistics that tries to reach conclusions beyond the immediate data, descriptive statistics simply describes what is in the data. It presents quantitative descriptions of large amount of data in simple and easy forms that can easily be managed.
Descriptive statistics uses the univariate analysis to measure the following three characteristics;
- Distribution- This is the summary of individual values frequency or the ranges of values for a variable. This summary is often depicted in the form of graph, histogram or bar chart.
- Central tendency- Central tendency is the estimate of the centre of distribution values. Mean, median and mode are the three estimates used in central tendency.
- Dispersion- This refers to the spread of values around the central tendency. Researchers use the range and standard deviation to measure dispersion.
Statistics assignment helper caters to all the topics related to descriptive statistics such as;
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- Linear and rank correlation
- Bivariate normal distribution
- Weak law of large numbers
- Statement of central limit theorem
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Learning descriptive statistics is greatly dependent on the knowledge one has in statistics. They are so interrelated that you cannot learn one and ignore the other. These two topics are so vast and students cannot be blamed for finding them confusing. The students must be skilful in the use of various concepts as well as the sophisticated software that are used to manipulate and perform analysis on data.
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Descriptive statistics is so important because it interprets and summarises data into a meaningful form. The information obtained from descriptive statistics is often used by researchers to make crucial decisions. A lot of measures are always involved when carrying out a research study. The researcher often deals with large quantity of data. Descriptive statistics is used to represent this large data into a form that can be easily understood.
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