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CHAPTER 2Descriptive Statistics: Tabular geographical Methods19KEY CONCEPTSsCONCEPT EXAMPLES EXERCISESSummarizing Qualitative DataFrequency Distribution11Relative Frequency Distribution21Percent Frequency
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How to fill out descriptive statistics template

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How to fill out descriptive statistics

01
Step 1: Gather the data that you want to analyze.
02
Step 2: Calculate the mean or average by adding up all the values and dividing by the total number of values.
03
Step 3: Calculate the median by finding the middle value of the dataset when it is arranged in ascending order.
04
Step 4: Calculate the mode by determining the value that appears most frequently in the dataset.
05
Step 5: Calculate the standard deviation by finding the square root of the variance, which measures the spread of the data.
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Step 6: Calculate the range by subtracting the minimum value from the maximum value in the dataset.
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Step 7: Analyze the results and interpret the descriptive statistics to gain insights about the data.

Who needs descriptive statistics?

01
Researchers: Descriptive statistics help researchers summarize and describe the characteristics of their data, making it easier to analyze and interpret.
02
Businesses: Descriptive statistics provide valuable insights for businesses to understand their customers, sales figures, and market trends.
03
Teachers: Descriptive statistics help teachers analyze their students' performance, identify areas of improvement, and make data-driven decisions.
04
Government agencies: Descriptive statistics assist government agencies in analyzing population data, economic indicators, and other relevant statistics.
05
Healthcare professionals: Descriptive statistics aid healthcare professionals in analyzing patient data, understanding disease patterns, and making clinical decisions.

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Descriptive statistics is a branch of statistics that focuses on summarizing and describing the features of a dataset.
Individuals or organizations collecting data and analyzing it are required to file descriptive statistics.
Descriptive statistics are filled out by organizing and summarizing data using measures such as mean, median, mode, variance, and standard deviation.
The purpose of descriptive statistics is to make data more understandable and to provide insights into the characteristics of a dataset.
Descriptive statistics typically include measures of central tendency, dispersion, and shape of a dataset.
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