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- Descriptive statistics about a college involve the average math test score for incoming students. It says nothing about why the data is so or what trends we can see and follow.
- You’ve performed a survey to 40 respondents about their favorite car color. And now you have a spreadsheet with the results. However, this spreadsheet is not very informative and you want to summarize the data with some graphs and charts that can allow you to come up with some simple conclusions (e.g.
- Let’s say you have a sample of 5 girls and 6 boys. [su_note note_color=”#d8ebd6″] The girls’ heights in inches are: 62, 70, 60, 63, 66. [/su_note]
- Consider you have a dataset with the retirement age of 10 people, in whole years: 55, 55, 55, 56, 56, 57, 58, 58, 59, 60. To illustrate this let’s see table below that shows the frequency of the retirement age data.
Sep 16, 2024 · Real-life examples of descriptive statistics. Descriptive statistics are used in a wide range of real-life scenarios across various industries: 1. Business and marketing. In marketing, businesses use descriptive statistics to summarize customer
- Types of Descriptive Statistics
- Frequency Distribution
- Measures of Central Tendency
- Measures of Variability
- Univariate Descriptive Statistics
- Bivariate Descriptive Statistics
- Other Interesting Articles
There are 3 main types of descriptive statistics: 1. The distributionconcerns the frequency of each value. 2. The central tendency concerns the averages of the values. 3. The variability or dispersion concerns how spread out the values are. You can apply these to assess only one variable at a time, in univariate analysis, or to compare two or more,...
A data set is made up of a distribution of values, or scores. In tables or graphs, you can summarize the frequency of every possible value of a variable in numbers or percentages. This is called a frequency distribution.
Measures of central tendencyestimate the center, or average, of a data set. The mean, median and mode are 3 ways of finding the average. Here we will demonstrate how to calculate the mean, median, and mode using the first 6 responses of our survey.
Measures of variabilitygive you a sense of how spread out the response values are. The range, standard deviation and variance each reflect different aspects of spread.
Univariate descriptive statistics focus on only one variable at a time. It’s important to examine data from each variable separately using multiple measures of distribution, central tendency and spread. Programs like SPSS and Excel can be used to easily calculate these. If you were to only consider the mean as a measure of central tendency, your im...
If you’ve collected dataon more than one variable, you can use bivariate or multivariate descriptive statistics to explore whether there are relationships between them. In bivariate analysis, you simultaneously study the frequency and variability of two variables to see if they vary together. You can also compare the central tendency of the two var...
If you want to know more about statistics, methodology, or research bias, make sure to check out some of our other articles with explanations and examples.
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Mar 25, 2024 · Descriptive statistics is a branch of statistics that deals with the summarization and description of collected data. This type of statistics is used to simplify and present data in a manner that is easy to understand, often through visual or numerical methods.
- Weather Forecasting. Statistics is used heavily in the field of weather forecasting. In particular, probability is used by weather forecasters to assess how likely it is that there will be rain, snow, clouds, etc.
- Sales Tracking. Retail companies often use descriptive statistics like the mean, median, mode, standard deviation, and interquartile range to track the sales behavior of certain products.
- Health Insurance. Health insurance companies often use statistics and probability to determine how likely it is that certain individuals will spend a certain amount on healthcare each year.
- Traffic. Traffic engineers regularly use statistics to monitor total traffic in different areas of a city, which allows them to decide whether or not they should add or remove roads to optimize traffic flow.
Nov 4, 2022 · There are 3 main types of descriptive statistics: The distribution concerns the frequency of each value. The central tendency concerns the averages of the values. The variability or dispersion concerns how spread out the values are.
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Here are the key takeaways: Descriptive statistics, although relatively simple, are a critically important part of any quantitative data analysis. Measures of central tendency include the mean (average), median and mode. Skewness indicates whether a dataset leans to one side or another.
