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Name Date Topic : Central Tendency and Dispersion Worksheet 1 In an examination the 10 students receive scores out of a possible 25. 12, 10, 20, 15, 17, 19, 12, 13, 18, 22 1. Find the mean. 2. Find
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How to fill out central tendency and dispersion

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How to fill out central tendency and dispersion:

01
Start by gathering the data that you want to analyze. This can be a set of numbers or measurements.
02
Calculate the measures of central tendency, which include the mean, median, and mode. The mean is the average of all the numbers, the median is the middle value when the numbers are arranged in ascending or descending order, and the mode is the most frequently occurring value.
03
To calculate the mean, add up all the numbers and divide by the total number of values. If there are any outliers or extreme values, consider removing them before calculating the mean.
04
To find the median, arrange the numbers in ascending or descending order and locate the middle value. If there is an even number of values, take the average of the two middle values.
05
Determine the mode by identifying the value that appears the most frequently in the dataset. In some cases, there may not be a mode or there may be multiple modes if several values occur with the same frequency.
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Now, let's move on to calculating the measures of dispersion. These include the range, variance, and standard deviation.
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To find the range, subtract the lowest value from the highest value in the dataset. This gives you an idea of how spread out the values are.
08
Calculate the variance by finding the average of the squared differences between each value and the mean. This measures how much the values deviate from the mean.
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Finally, the standard deviation is the square root of the variance. It provides a more interpretable measure of dispersion, as it is in the same unit as the original data.

Who needs central tendency and dispersion?

01
Researchers and statisticians often use measures of central tendency and dispersion to summarize and describe data. These measures help to identify trends, patterns, and variations within a dataset.
02
Educators and teachers can benefit from understanding central tendency and dispersion as it helps them interpret student performance and evaluate the effectiveness of teaching methods. It allows them to compare student scores, identify any outliers or extreme values, and make data-driven decisions.
03
Businesses and organizations utilize central tendency and dispersion to analyze sales figures, customer feedback, and other relevant data. These measures help them understand the variation in their data and make informed decisions for improving their products or services.
Overall, central tendency and dispersion are essential tools in data analysis that are used by various professionals across different fields to make sense of numerical information.
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Central tendency refers to the measures that represent the center or average value of a dataset, while dispersion refers to the spread or variability of the values in the dataset.
Organizations or individuals who are conducting statistical analysis or reporting on data sets may be required to file central tendency and dispersion.
Central tendency and dispersion can be filled out by calculating measures such as mean, median, mode for central tendency, and standard deviation, range, variance for dispersion.
The purpose of central tendency and dispersion is to provide insights into the characteristics of a dataset, help understand the distribution of values, and make informed decisions based on the data.
The calculated measures of central tendency and dispersion such as mean, median, mode, standard deviation, range, variance must be reported.
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