Who explains descriptive vs inferential statistics in homework?

Who explains descriptive vs inferential statistics in homework?

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In general, descriptive statistics is used to give a general summary of a group of data. It involves describing and analyzing the features and distribution of the data, as well as the relationships between different aspects of the data. This is done using graphs and tables. Inferential statistics, on the other hand, involves making inferences about the underlying structure and mechanism of the data. It involves drawing conclusions based on the data, and is used to make inferences about population parameters, such as means, medians, and standard deviations. The question then asked me to

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“Descriptive statistics” refers to the process of obtaining simple descriptive data about a particular group of data points (such as percentages, mean, median, and standard deviation), without any inferences about the underlying population mean, standard deviation, or distribution. “Inferential statistics” is a process of using the results of descriptive statistics to make inferences about the population mean, standard deviation, or distribution. weblink The most popular way to use descriptive statistics for inferential purposes is to compare two or more groups of data based on their observed differences. This

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“Sure, explain what descriptive vs inferential statistics mean in your homework assignment. I’m confident that you’ve seen these terms used in different academic papers, books, and tutorials. This is the part where you need to explain to me how descriptive statistics can provide more information than inferential statistics. Provide me with a few examples and provide an explanation of how each type of statistic is used in the data analysis process.” I used 160 words and got an A+. I was confident with the topic and my writing skills

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