Difference between revisions of "Descriptive statistics"
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[[File:Bildschirmfoto 2020-03-28 um 15.39.37.png|thumb|Descriptive Statistics is the most basic things you can do in statistics. Most of you probably also already calculated things like mean and median in school.]] | [[File:Bildschirmfoto 2020-03-28 um 15.39.37.png|thumb|Descriptive Statistics is the most basic things you can do in statistics. Most of you probably also already calculated things like mean and median in school.]] | ||
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The standard deviation is calculated as the square root of variance by determining the variation between each data point relative to the mean. It is a measure of how spread out your numbers are. If the data points are further from the mean, there is a higher deviation within the data set. The higher the standard deviation, the more spread out the data. | The standard deviation is calculated as the square root of variance by determining the variation between each data point relative to the mean. It is a measure of how spread out your numbers are. If the data points are further from the mean, there is a higher deviation within the data set. The higher the standard deviation, the more spread out the data. | ||
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Revision as of 08:39, 30 March 2021
Basics of descriptive statistics
Descriptive stats are what most people think stats are all about. Many people believe that the simple observation of more or less, or the mere calculation of an average value is what statistics are all about. The media often shows us such descriptive statistics in whimsical bar plots or even pie charts.
Mean
The mean is the average of numbers you can simply calculated by adding up all the numbers and then divide them by how many numbers there are in total.
Median
The medium is the middle number in assorted set of numbers. It can be substantially different from the mean value for instance, when you have large gaps or cover wide ranges within your data. Therefore, it is more robust against outliers.
Mode
The mode is the value that appears most often. It can be helpful in large datasets are when you have a lot of repetitions within the dataset.
Range
The range is simply the difference between the lowest and the highest value and consequently it can also be calculated like this.
Standard deviation
The standard deviation is calculated as the square root of variance by determining the variation between each data point relative to the mean. It is a measure of how spread out your numbers are. If the data points are further from the mean, there is a higher deviation within the data set. The higher the standard deviation, the more spread out the data.
R examples
#descriptive statistics using the Swiss dataset swiss swiss_data<-swiss #we are choosing the column fertility for this example #let's begin with calculating the mean mean(swiss_data$Fertility) #median median(swiss_data$Fertility) #range range(swiss_data$Fertility) #standard deviation sd(swiss_data$Fertility) #summary - includes minimum, maximum, mean, median, 1st & 3rd Quartile summary(swiss_data$Fertility)
External Links
Videos
- Descriptive Statistics: A whole video series about descriptive statistics from the Khan academy
- Standard Deviation: A brief explanation
- Mode, Median, Mean, Range & Standard Deviation: A good summary
Articles
- Descriptive Statistics: An introduction
- Descriptive Statistics: A detailed summary
