NO mean: (average)add all the numbers, then divide by how many numbers you added!!
Median: you have to put allthe numbers in order and then get the middle number and if there are two middle numbers add them and divide them by two!!
Either can be used for symmetrical distributions. For skewed data, the median may be more a appropriate measure of the central tendency - the "average".
The median is 19, although finding the median of a single value is a pointless exercise.
A median can have only one value.
Yes. Central tendency is the way data clusters around a value. Even if the distribution of the value is skewed, the median would be the best indicator of central tendency because of the way the data is clustered.
The question is how do the mean and median affect the distribution shape. In a normal curve, the mean and median are both in the same point. ( as is the mode) If a distribution is skewed, its tail is either on the right or the left. If a distribution is skewed the median may be a better value to use than the mean since it has less effect on the shape. Also is there are large outliers, the median has less effect and is better to use. So the mean has a bigger effect on the shape many times than the median.
No, the median is not a measure of variation; it is a measure of central tendency. The median represents the middle value of a data set when arranged in order, providing insight into the typical value. Measures of variation, such as range, variance, and standard deviation, assess the spread or dispersion of the data around the central value.
An outlier can significantly impact the median by pulling it towards the extreme value of the outlier, especially when the dataset is small. This can distort the central tendency measure that the median represents and provide a misleading representation of the typical value in the dataset.
The median value is the middle number in a sorted list of numbers. To find the median, you arrange the data in ascending order and identify the central value; if there is an even number of observations, the median is the average of the two central numbers. It is a measure of central tendency that is less affected by outliers compared to the mean, making it useful for understanding the typical value in a dataset.
The mean is the arithmetic average of a set of values, while the median is the middle value when the data is ordered. In symmetrical distributions, the mean and median are typically close or equal, but in skewed distributions, the mean can be influenced by extreme values, making it higher or lower than the median. Thus, the median is often preferred as a measure of center for skewed data, as it provides a better representation of the typical value without being affected by outliers.
Mode is the most frequent value in a dataset. It is a measure of central tendency along with mean and median. Mode is useful for representing the typical value or category in a dataset.
Either can be used for symmetrical distributions. For skewed data, the median may be more a appropriate measure of the central tendency - the "average".
The median amount of money spent per person is the middle value in a sorted list of expenditures. To find this, you arrange the spending amounts from lowest to highest and identify the middle value. If there is an even number of data points, the median is calculated as the average of the two middle values. This measure provides a better understanding of typical spending than the average, as it is less affected by extreme values.
median
The median of a distribution of scores is the middle value when the scores are arranged in ascending or descending order. If there is an odd number of scores, the median is the middle score; if there is an even number, it is the average of the two middle scores. The median is a measure of central tendency that is less affected by outliers than the mean, making it a useful indicator of the typical score in a dataset.
Median is your answer
The median salary is the middle value of a salary distribution, where half of the salaries are below it and half are above it. It provides a better representation of typical earnings than the average salary, especially in cases where there are outliers or extreme values that can skew the average. To find the median salary, you arrange all the salaries in ascending order and identify the middle value. If there is an even number of salaries, the median is the average of the two middle values.
The median pledge refers to the middle value in a set of pledges when they are arranged in ascending order. If there is an odd number of pledges, the median is the middle pledge, while if there is an even number, it is the average of the two middle pledges. This measure is useful for understanding the typical pledge amount, as it is less influenced by extreme values than the average.