Respuesta :
Mean and median both try to measure the "central tendency" in a data set. The goal of each is to get an idea of a "typical" value in the data set. The mean is commonly used, but sometimes the median is preferred.
Part 1: The mean
A golf team's 666 members had the scores below in their most recent tournament:
70,\,72,\,74,\,76,\,80,\,11470,72,74,76,80,114
What is the difference between statistics and data?
Data:
- Data is made up of unprocessed numbers with numerous factors. These figures frequently originate from primary sources, such as research that was carried out as part of a study or survey.
- A digital data set is a common format for data. Statistical techniques can be used to analyze data.
- Data is utilized to provide new knowledge or information.
- For instance, census information offers information on the population of a specific area together with factors like gender, age, income, etc.
Statistics:
- Raw data are interpreted using statistics, frequently to demonstrate correlations between several variables. "Why" and "how" questions are answered by statistics.
- Instead of using a large data set, statistics allows you to support a claim or argument with a small number of numbers. Typically, statistics are displayed as tables, graphs, or charts.
- For instance, statistics can respond to queries about the relationship between income level and education.
The mean (average) and the median are the two most frequently used metrics for determining the "center" of the data.
The standard deviation is the most often used measure of spread or variation. The standard deviation is a figure that represents the distance between data values and their mean and can be used to determine how close or far a given data value is from the mean.
Learn more about statistics and data here:
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