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Descriptive Statistics
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What you learn in Descriptive Statistics ?
About this Free Certificate Course
A background in Statistics can prepare you for a wide range of job opportunities ranging from being a pure statistical researcher to a highly sought after data scientist. Keeping the importance of Statistics in mind, this course on Descriptive Statistics will introduce you to the basics of Statistics, central tendancy, variablility, skewness, and kurtosis.
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Course Outline
Statistics is the discipline of science that deals with studying the collection of data, analyzing, interpreting, and presenting empirical data. It explores the variation in the set of data.
Statistics uses many approaches to collect the data for statistical analysis. Direct observation, Experiments, and surveys are the most popular methods to obtain data for statistical analysis. The survey collects data from people through Gallup polls, pre-election polls, marketing surveys, and other forms.
Descriptive Statistical analysis deals with organizing and interpreting data using graphical and numerical methods, such as Inferential Statistical Analysis, Predictive Analysis, Prescriptive Analysis, Casual Analysis, Mechanistic Analysis are the standard statistical analysis techniques used in Descriptive Statistics.
This section describes measures of central tendency by formulating to solve for the previously mentioned example. It also analyzes various metrics of the solution through graphs.
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Frequently Asked Questions
What is meant by descriptive statistics, with example?
Descriptive statistics quantitatively describe features from a data set and use this data to analyze the statistics. This statistical data is processed and applied to various fields of sciences and mathematics to analyze the information. For example, the average run rate in a cricket match.
Is descriptive statistics qualitative or quantitative?
Descriptive statistics are quantitative, and they usually describe numbers in all of their calculations and analyses. They involve methods to calculate mode, mean, median, variance, and quantitative measures.
What is the purpose of descriptive statistics?
Descriptive statistics describe and summarize the features of a sample or a data set, like variables' mean, standard deviation, or frequency. Inferential statistics help the analysts understand the collective properties of the data set elements. Being aware of the data set sample's mean-variance and distribution helps any individual understand everything around.
How do you do descriptive statistics?
Descriptive statistical methods are carried out by performing measures of center, such as mean, median, and mode. These measures are performed at almost all levels of mathematics and statistics. Mean is calculated by adding all the figures and dividing it by the total number of figures present in the data set; median is the middle numerical figure in the data set that separates the upper and the lower half; while the mode is the result of the difference of the highest and the lowest figures in the data set.
Will I get a certificate after completing this Descriptive Statistics free course?
Yes, you will get a certificate of completion for Descriptive Statistics after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
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