The mean of a set of numbers is the sum divided by the number of terms. I have posted these spreadsheets on my Google Drive. This page has Microsoft Excel sample datasets that you can freely use for testing, Excel training and demos, student practice, and other learning activities. 1. Five common measures of spread are; range, span, standard deviation, variance and interquartile range. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. Xlsx. It is the rate of return that a bondholder earns if he holds the bond till maturity and receive all the cash flows For example, what does a pain score of 1.9 actually mean when using a categorical scale? In descriptive statistics, the mean may be confused with the median, mode or mid-range, as any of these may be called an "average" (more formally, a measure of central tendency).The mean of a set of observations is the arithmetic average of the values; however, for skewed distributions, the mean is not necessarily the same as the middle value (median), or the most likely value (mode). You must use empty parentheses so the spreadsheet knows that RAND is a function. The parameters and statistics with which we first concern ourselves attempt to quantify the "center" (i.e., location) and "spread" (i.e., variability) of a data set. 1. Download by size: Handphone Tablet Desktop (Original Size) Skewed data. There are 3 main types of descriptive statistics: The distribution concerns the frequency of each value. Measures of the Spread of the Data. On the other end of the scale, you can also get a flat distribution. Solution: A. Example 1: Spread Values Across Two Columns. Examine the shape of your data to determine whether your data appear to be skewed. If the spread of values in the data set is large, the mean is not as representative of the data as if the spread of data is small. On the menu bar, click Excel Templates > Create Excel Template. Appsloveworld allows developers to download a sample Excel file with a large dummy data for testing purposes. Which you use will depend on how much and the type of data you collected. The sample standard deviation s is equal to the square root of the sample variance: s = 0.5125 = 0.715891. and this is rounded to two decimal places, s = 0.72. ; The central tendency concerns the averages of the values. = 10+74+78+ 102 4 = 10 + 74 + 78 + 102 4. To initiate a buy trade, the

When data are skewed, the majority of the data are located on the high or low side of the graph. Additionally, in research, it is often seen as positive if In general, a value = mean + (#ofSTDEV) (standard deviation) where #ofSTDEVs = the number of standard deviations. Standard Deviation is the measure of how far a typical value in the set is from the average. Inferential statistics, by contrast, allow scientists to take findings from a sample group and generalize them to a larger population. Box Plots Box plots (also called box-and-whisker plots or box-whisker plots) give a good graphical image of the concentration of the data.They also show how far the extreme values are from most of the data. For example, the blue distribution on bottom has a greater standard deviation (SD) than the green distribution on top: Interestingly, standard deviation cannot be negative. In finance, a credit spread, or net credit spread is an options strategy that involves a purchase of one option and a sale of another option in the same class and expiration but different strike prices.It is designed to make a profit when the spreads between the two options narrows.. Investors receive a net credit for entering the position, and want the spreads to narrow or expire for profit. The standard deviation is the square root of the variance. This test examines the hypothesis about the median 0 of a population. Historically, the average credit spread between 2-year BBB-rated corporate bonds and 2-year U.S. Treasuries is 2%. For this example, use x = + (#ofSTDEVs) ( s) because the data is from a sample Verify the mean and standard deviation on your calculator or computer. For example, if you need to visualize data over a timeline, consider Excel Gantt chart templates, which are ready and available to be customized with your specific project information. All other calculations stay the same, including how we calculated the mean. Reports, statements, listings, information, lists, and almost any elongated data can be included in a spreadsheet. So lets look at a set of data for 5 numbers. W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Basically, it is the square-root of the Variance (the mean of the differences between the data points and the average). Data Analysis & Quality Control.

You can calculate set-up costs, profit and loss forecast, breakeven forecast and balance sample sheet forecast by this template. The more spread out a data distribution is, the greater its standard deviation. In some data sets, the values are concentrated closely, while in others the are more spread out. The average is the addition of all the numbers in the data set and then having those numbers divided by the number of numbers within that set.

Spread, in the context of statistics, describes the variation of your data and how dispersed or spread out it is. For example, the mean of our data is 29.0 years. The standard deviation should have the same unit as the raw data you collected. Source: R/spread.R. Usually, we are interested in the standard deviation of a population. ; The variability or dispersion concerns how spread out the values are. The most common measure of variation, or spread, is the standard deviation.

For the height data, the standard deviation is 0.07m (7cm). The third quartile (Q3) is the middle value between the median and the highest value of the data set. Example 2: Dot Plot of Test Scores Measures of spread together with measures of location (or central tendency) are important for identifying key features of a sample to better understand the population from which the sample comes from. Variability for our Descriptive Statistics Example. Spreadsheets can be stored in a digital format with any amount of data. Finally all pictures we've been displayed in this site will inspire you all. Go to Sales > Opportunities > My Open Opportunities.

Related Topics: Common Core (Statistics & Probability) Common Core for Mathematics Examples, solutions, videos, and lessons to help High School students learn how to interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers). These tests examine whether one instance of sample data is greater or smaller than the median reference value. The minimum and maximum are the smallest and largest values.Q2 is the median of the dataset.The 1st and 2nd quartiles are the medians on both sides of Q2.25% of our data falls before Q1 it represents the 25th percentile.75% of our data falls before Q3 it represents the 75th percentile.More items This example also reveals the shortcoming of the range as a measure of spread. Range defines the spread, or variability, of a sample. Click Upload. The average is the addition of all the numbers in the data set and then having those numbers divided by the number of numbers within that set. This is because a large spread indicates that there are probably large differences between individual scores. Examining the raw data is an essential first step before proceeding to statistical analysis. Excel Sample Data. Thereafter, two key sample statistics that may be calculated from a dataset are a measure of the central tendency of the sample distribution and of the spread of the data about this central tendency. Covering popular subjects like HTML, CSS, JavaScript, Python, Among many other useful functions that tidyverse has, such as mutate or summarise, other functions including spread, gather, separate, and unite are less used in data management. Yield spread is the difference between the yield to maturity on different debt instruments. Here is a histogram of the age of Nobel Prize winners when they won the prize: The normal distribution drawn on top of the histogram is based on the population mean (\(\mu\)) and standard deviation (\(\sigma\)) of the real data. The standard deviation is a measure of the spread of scores within a set of data. The most common measure of variation, or spread, is the standard deviation. Some rough measures of spread we have already seen are the range and IQR. B. Available as Google Sheets . For example, if your minimum value is $10 and the maximum value is $100 then the range is $90 ($100 $10). 2.7 Measures of the Spread of Data. What is spread in statistics example? The range tells us that the spread from the tallest to the shortest is 0.33m (33cm). When you have collected data from a sample, you can use inferential statistics to understand the larger population from which the sample is taken. Therefore, in this post, I will focus on those functions. A measure of spread tells us how much a data sample is spread out or scattered. Give any two examples of collecting data from day-to-day life. gather and spread with dplyr easy example. Therefore, if we took a student that scored 60 out of 100, the deviation of a score from the mean is 60 - 58.75 = 1.25.

The data used in these examples were collected on 200 high schools students and are scores on various tests, including science, math, reading and social studies (socst).The variable female is a dichotomous variable coded 1 if the student was female and 0 if male. Facebook is actively trying to limit the amount of false information its users are exposed to. Find ( Open a page with a list of records, for example, the list of Sales Opportunities. With the use of tidyverse package is become easy to manage and create new datasets. Drag the file into the dialog box or browse to find and upload the file. So, the variance is a measure of how spread out a data set is. It is intuitively obvious why we define range in statistics this way - range should suggest how diversely spread out the values are, and by computing the difference between the maximum and minimum values, we can get an estimate of the spread of the data. Spread: A spread is the difference between the bid and the ask price of a security or asset. If the spread of values in the data set is large, the mean is not as representative of the data as if the spread of data is small. For example, if all of the data is multiplied by a fixed positive number then the standard deviation gets multiplied by that same number. In statistics, range is defined simply as the difference between the maximum and minimum observations. Measures of spread summarise the data in a way that shows how scattered the values are and how much they differ from the mean value. In other words, the IQR is the first Example Lets assume that the following data points represent the number of fire over 200 acres on a forest over the last ten years. However, as we are often presented with data from a sample only, we can estimate the population standard deviation from a sample standard deviation. Excel has different types of formats like Xls and Xlsx. Find the Skew.

; The variability or dispersion concerns how spread out the values are. how to calculate spread of dataMeasuring the Spread of DataMeasures of Spread: Crash Course Statistics #4Measures of SpreadStatistics Find the center and spread Find ( + 1s). Basically, it is the square-root of the Variance (the mean of the differences between the data points and the average). The current yield on a 2-year BBB-rated corporate bond is 5%, while the current yield on a 2-year U.S. Treasury is 2%. Spread syntax can be used when all elements from an object or array need to be included in a list of some kind. There is a table with office supply sales sample data, to copy and paste into your Excel workbook. Excel is a popular tool for data analysis, especially among non-statisticians. ; You can apply these to assess only one variable at a time, in univariate analysis, or to compare two or Size: 100.9KB. #ofSTDEV does not need to be an integer. The range represents the difference between the largest and smallest value. The sample standard deviation s is equal to the square root of the sample variance: s = 0.5125 = 0.715891, This chapter presents several ways to summarize quantitative data by a typical value (a measure of location, such as the mean, median, or mode) and a measure of how well the typical value represents the list (a measure of spread, such as the range, inter-quartile Can the hepatitis B virus be spread through sex? Spread: We can use the range to measure the spread of values in the dataset. The median was covered in the previous chapter. The other type of descriptive statistics is known as the measures of spread. A complement to the center of a distribution is the. Median. Syntax of Spread operator is same as Rest parameter but it works completely opposite of it. Sample Excel Sheet With Large Data And Microsoft Sample Excel Spreadsheets can be beneficial inspiration for people who seek an image according specific topic, you can find it in this site. Cancel the common factor of 10+74+78+102 10 + 74 + 78 + 102 and 4 4. of the data. We can use the range and the interquartile range to measure the spread of a sample. The original article indicated that kurtosis was a measure of the flatness of the distribution or peakedness. With this shape, the odds of anything happening are equal. Measures of spread together with measures of location (or central tendency) are important for identifying key features of a sample to better understand the population from which the sample comes from. 10 10 , 74 74 , 78 78 , 102 102. [1] Common examples of measures of statistical dispersion are the variance, standard deviation, and interquartile range. You can use tidyr::spread like this: tidyr::spread(data, group, value). In parentheses is a list of the Real Statistics website main menu topics covered in each examples workbook. The importance of variables is that they help in operationalization of concepts for data collection. A similar statistic is the interquartile range, which tells you the range in the middle fifty percent of a set of data; in other words, its where the bulk of data tends to lie. For example, the data set 4,6,10, 15, 18 has a maximum of 18, a minimum of 4 and a range of 18-4 = 14. Example: if our 5 dogs are just a sample of a bigger population of dogs, we divide by 4 instead of 5 like this: Sample Variance = 108,520 / 4 = 27,130. This page shows examples of how to obtain descriptive statistics, with footnotes explaining the output. If the scores in our group of data are spread out, the variance will be a large number. Click Excel Template > Upload. The final part of descriptive statistics that you will learn about is finding the mean or the average. The two types of statistics have some important differences. Step-by-Step Examples. Fourteen Excel workbooks can be downloaded for free which contain worksheets that implement the various tests and analyses described in the rest of this website.

Table 3.7 shows the numbers that can be used to summarize measurement data. To describe spread, a number of statistics are available, including the range, quartiles and standard deviation. The sample variance, s2, is equal to the sum of the last column (9.7375) divided by the total number of data values minus one (20 1): s 2 = 9.7375 20 1 = .5125. s 2 = 9.7375 20 1 = .5125. Example. Common examples of yield spreads are g-spread, i-spread, zero-volatility spread and option-adjusted spread. If we want to avoid undue influence of outliers for the measure of spread, the range is not good enough to provide us with a wholistic, robust measure. In this instance, the IQR is the preferred measure of spread because the sample has an outlier. ; You can apply these to assess only one variable at a time, in univariate analysis, or to compare two or more, in The sample standard deviation s is equal to the square root of the sample variance: s Or tossing a coin, where you have a 50% chance of tossing a heads or a tails. For example, in the sample of verbal pain scores above, the mean score is 1.9. Example. Inferential statistics have two main uses: making estimates about populations (for example, the mean SAT score of all 11th graders in the US). The following numbers would be 27, 54, 13, 81, and 6. 13.

If there are any outliers in the data, they are going to show up in the range and so the range may give you a misleading idea of how spread out the values are. Here, you can find sample excel data for analysis that will be helping you to test. An important characteristic of any set of data is the variation in the data.

And the formula to find the variance of a sample (denoted as s 2) is: s 2 = (x i x) 2 / (n-1) Standard Deviation. spread (data, key, value) Where data is your dataframe of interest. 2. Table 3.7 shows the numbers that can be used to summarize measurement data. This spread is often expressed in terms of your datas departure from the central tendency of your data. Each present cells where the student enters a very small data set, and a table that displays the results of the statistical analysis. This is technically not correct (see below). 3, 3, 4, 6, 7, 9, 10, 11, 11, 12 Yes. Modified 1 year, 5 months ago. Find the whole sum as add the data together. Example 3: Lets say you have a sample of 5 girls and 6 boys. The Mean . Kurtosis is a measure of the combined weight of the tails relative to the rest of the distribution. You can modify any time and update as per your requirements and uses.

When data are skewed, the majority of the data are located on the high or low side of the graph. Additionally, in research, it is often seen as positive if In general, a value = mean + (#ofSTDEV) (standard deviation) where #ofSTDEVs = the number of standard deviations. Standard Deviation is the measure of how far a typical value in the set is from the average. Inferential statistics, by contrast, allow scientists to take findings from a sample group and generalize them to a larger population. Box Plots Box plots (also called box-and-whisker plots or box-whisker plots) give a good graphical image of the concentration of the data.They also show how far the extreme values are from most of the data. For example, the blue distribution on bottom has a greater standard deviation (SD) than the green distribution on top: Interestingly, standard deviation cannot be negative. In finance, a credit spread, or net credit spread is an options strategy that involves a purchase of one option and a sale of another option in the same class and expiration but different strike prices.It is designed to make a profit when the spreads between the two options narrows.. Investors receive a net credit for entering the position, and want the spreads to narrow or expire for profit. The standard deviation is the square root of the variance. This test examines the hypothesis about the median 0 of a population. Historically, the average credit spread between 2-year BBB-rated corporate bonds and 2-year U.S. Treasuries is 2%. For this example, use x = + (#ofSTDEVs) ( s) because the data is from a sample Verify the mean and standard deviation on your calculator or computer. For example, if you need to visualize data over a timeline, consider Excel Gantt chart templates, which are ready and available to be customized with your specific project information. All other calculations stay the same, including how we calculated the mean. Reports, statements, listings, information, lists, and almost any elongated data can be included in a spreadsheet. So lets look at a set of data for 5 numbers. W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Basically, it is the square-root of the Variance (the mean of the differences between the data points and the average). Data Analysis & Quality Control.

You can calculate set-up costs, profit and loss forecast, breakeven forecast and balance sample sheet forecast by this template. The more spread out a data distribution is, the greater its standard deviation. In some data sets, the values are concentrated closely, while in others the are more spread out. The average is the addition of all the numbers in the data set and then having those numbers divided by the number of numbers within that set.

Spread, in the context of statistics, describes the variation of your data and how dispersed or spread out it is. For example, the mean of our data is 29.0 years. The standard deviation should have the same unit as the raw data you collected. Source: R/spread.R. Usually, we are interested in the standard deviation of a population. ; The variability or dispersion concerns how spread out the values are. The most common measure of variation, or spread, is the standard deviation.

For the height data, the standard deviation is 0.07m (7cm). The third quartile (Q3) is the middle value between the median and the highest value of the data set. Example 2: Dot Plot of Test Scores Measures of spread together with measures of location (or central tendency) are important for identifying key features of a sample to better understand the population from which the sample comes from. Variability for our Descriptive Statistics Example. Spreadsheets can be stored in a digital format with any amount of data. Finally all pictures we've been displayed in this site will inspire you all. Go to Sales > Opportunities > My Open Opportunities.

Related Topics: Common Core (Statistics & Probability) Common Core for Mathematics Examples, solutions, videos, and lessons to help High School students learn how to interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers). These tests examine whether one instance of sample data is greater or smaller than the median reference value. The minimum and maximum are the smallest and largest values.Q2 is the median of the dataset.The 1st and 2nd quartiles are the medians on both sides of Q2.25% of our data falls before Q1 it represents the 25th percentile.75% of our data falls before Q3 it represents the 75th percentile.More items This example also reveals the shortcoming of the range as a measure of spread. Range defines the spread, or variability, of a sample. Click Upload. The average is the addition of all the numbers in the data set and then having those numbers divided by the number of numbers within that set. This is because a large spread indicates that there are probably large differences between individual scores. Examining the raw data is an essential first step before proceeding to statistical analysis. Excel Sample Data. Thereafter, two key sample statistics that may be calculated from a dataset are a measure of the central tendency of the sample distribution and of the spread of the data about this central tendency. Covering popular subjects like HTML, CSS, JavaScript, Python, Among many other useful functions that tidyverse has, such as mutate or summarise, other functions including spread, gather, separate, and unite are less used in data management. Yield spread is the difference between the yield to maturity on different debt instruments. Here is a histogram of the age of Nobel Prize winners when they won the prize: The normal distribution drawn on top of the histogram is based on the population mean (\(\mu\)) and standard deviation (\(\sigma\)) of the real data. The standard deviation is a measure of the spread of scores within a set of data. The most common measure of variation, or spread, is the standard deviation. Some rough measures of spread we have already seen are the range and IQR. B. Available as Google Sheets . For example, if your minimum value is $10 and the maximum value is $100 then the range is $90 ($100 $10). 2.7 Measures of the Spread of Data. What is spread in statistics example? The range tells us that the spread from the tallest to the shortest is 0.33m (33cm). When you have collected data from a sample, you can use inferential statistics to understand the larger population from which the sample is taken. Therefore, in this post, I will focus on those functions. A measure of spread tells us how much a data sample is spread out or scattered. Give any two examples of collecting data from day-to-day life. gather and spread with dplyr easy example. Therefore, if we took a student that scored 60 out of 100, the deviation of a score from the mean is 60 - 58.75 = 1.25.

The data used in these examples were collected on 200 high schools students and are scores on various tests, including science, math, reading and social studies (socst).The variable female is a dichotomous variable coded 1 if the student was female and 0 if male. Facebook is actively trying to limit the amount of false information its users are exposed to. Find ( Open a page with a list of records, for example, the list of Sales Opportunities. With the use of tidyverse package is become easy to manage and create new datasets. Drag the file into the dialog box or browse to find and upload the file. So, the variance is a measure of how spread out a data set is. It is intuitively obvious why we define range in statistics this way - range should suggest how diversely spread out the values are, and by computing the difference between the maximum and minimum values, we can get an estimate of the spread of the data. Spread: A spread is the difference between the bid and the ask price of a security or asset. If the spread of values in the data set is large, the mean is not as representative of the data as if the spread of data is small. For example, if all of the data is multiplied by a fixed positive number then the standard deviation gets multiplied by that same number. In statistics, range is defined simply as the difference between the maximum and minimum observations. Measures of spread summarise the data in a way that shows how scattered the values are and how much they differ from the mean value. In other words, the IQR is the first Example Lets assume that the following data points represent the number of fire over 200 acres on a forest over the last ten years. However, as we are often presented with data from a sample only, we can estimate the population standard deviation from a sample standard deviation. Excel has different types of formats like Xls and Xlsx. Find the Skew.

; The variability or dispersion concerns how spread out the values are. how to calculate spread of dataMeasuring the Spread of DataMeasures of Spread: Crash Course Statistics #4Measures of SpreadStatistics Find the center and spread Find ( + 1s). Basically, it is the square-root of the Variance (the mean of the differences between the data points and the average). The current yield on a 2-year BBB-rated corporate bond is 5%, while the current yield on a 2-year U.S. Treasury is 2%. Spread syntax can be used when all elements from an object or array need to be included in a list of some kind. There is a table with office supply sales sample data, to copy and paste into your Excel workbook. Excel is a popular tool for data analysis, especially among non-statisticians. ; You can apply these to assess only one variable at a time, in univariate analysis, or to compare two or Size: 100.9KB. #ofSTDEV does not need to be an integer. The range represents the difference between the largest and smallest value. The sample standard deviation s is equal to the square root of the sample variance: s = 0.5125 = 0.715891, This chapter presents several ways to summarize quantitative data by a typical value (a measure of location, such as the mean, median, or mode) and a measure of how well the typical value represents the list (a measure of spread, such as the range, inter-quartile Can the hepatitis B virus be spread through sex? Spread: We can use the range to measure the spread of values in the dataset. The median was covered in the previous chapter. The other type of descriptive statistics is known as the measures of spread. A complement to the center of a distribution is the. Median. Syntax of Spread operator is same as Rest parameter but it works completely opposite of it. Sample Excel Sheet With Large Data And Microsoft Sample Excel Spreadsheets can be beneficial inspiration for people who seek an image according specific topic, you can find it in this site. Cancel the common factor of 10+74+78+102 10 + 74 + 78 + 102 and 4 4. of the data. We can use the range and the interquartile range to measure the spread of a sample. The original article indicated that kurtosis was a measure of the flatness of the distribution or peakedness. With this shape, the odds of anything happening are equal. Measures of spread together with measures of location (or central tendency) are important for identifying key features of a sample to better understand the population from which the sample comes from. 10 10 , 74 74 , 78 78 , 102 102. [1] Common examples of measures of statistical dispersion are the variance, standard deviation, and interquartile range. You can use tidyr::spread like this: tidyr::spread(data, group, value). In parentheses is a list of the Real Statistics website main menu topics covered in each examples workbook. The importance of variables is that they help in operationalization of concepts for data collection. A similar statistic is the interquartile range, which tells you the range in the middle fifty percent of a set of data; in other words, its where the bulk of data tends to lie. For example, the data set 4,6,10, 15, 18 has a maximum of 18, a minimum of 4 and a range of 18-4 = 14. Example: if our 5 dogs are just a sample of a bigger population of dogs, we divide by 4 instead of 5 like this: Sample Variance = 108,520 / 4 = 27,130. This page shows examples of how to obtain descriptive statistics, with footnotes explaining the output. If the scores in our group of data are spread out, the variance will be a large number. Click Excel Template > Upload. The final part of descriptive statistics that you will learn about is finding the mean or the average. The two types of statistics have some important differences. Step-by-Step Examples. Fourteen Excel workbooks can be downloaded for free which contain worksheets that implement the various tests and analyses described in the rest of this website.

Table 3.7 shows the numbers that can be used to summarize measurement data. To describe spread, a number of statistics are available, including the range, quartiles and standard deviation. The sample variance, s2, is equal to the sum of the last column (9.7375) divided by the total number of data values minus one (20 1): s 2 = 9.7375 20 1 = .5125. s 2 = 9.7375 20 1 = .5125. Example. Common examples of yield spreads are g-spread, i-spread, zero-volatility spread and option-adjusted spread. If we want to avoid undue influence of outliers for the measure of spread, the range is not good enough to provide us with a wholistic, robust measure. In this instance, the IQR is the preferred measure of spread because the sample has an outlier. ; You can apply these to assess only one variable at a time, in univariate analysis, or to compare two or more, in The sample standard deviation s is equal to the square root of the sample variance: s Or tossing a coin, where you have a 50% chance of tossing a heads or a tails. For example, in the sample of verbal pain scores above, the mean score is 1.9. Example. Inferential statistics have two main uses: making estimates about populations (for example, the mean SAT score of all 11th graders in the US). The following numbers would be 27, 54, 13, 81, and 6. 13.

If there are any outliers in the data, they are going to show up in the range and so the range may give you a misleading idea of how spread out the values are. Here, you can find sample excel data for analysis that will be helping you to test. An important characteristic of any set of data is the variation in the data.

And the formula to find the variance of a sample (denoted as s 2) is: s 2 = (x i x) 2 / (n-1) Standard Deviation. spread (data, key, value) Where data is your dataframe of interest. 2. Table 3.7 shows the numbers that can be used to summarize measurement data. This spread is often expressed in terms of your datas departure from the central tendency of your data. Each present cells where the student enters a very small data set, and a table that displays the results of the statistical analysis. This is technically not correct (see below). 3, 3, 4, 6, 7, 9, 10, 11, 11, 12 Yes. Modified 1 year, 5 months ago. Find the whole sum as add the data together. Example 3: Lets say you have a sample of 5 girls and 6 boys. The Mean . Kurtosis is a measure of the combined weight of the tails relative to the rest of the distribution. You can modify any time and update as per your requirements and uses.