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91Ó°ÊÓ

For this series of observation find the mean, median, and mode. \(500,600,800,800,900,900,900,900,900,1000,1100\)

Short Answer

Expert verified
The mean, median, and mode of the given series of observations are approximately \(763.64\), \(900\), and \(900\), respectively.

Step by step solution

01

Arrange the data in ascending order

First, we will arrange the given series of observations in ascending order. \(500, 600, 800, 800, 900, 900, 900, 900, 900, 1000, 1100\)
02

Calculate the mean

To calculate the mean, we will add up all the numbers and divide the total by the number of observations. In this case, there are 11 observations. \(\text{Mean} = \frac{500 + 600 + 800 + 800 + 900 + 900 + 900 + 900 + 900 + 1000 + 1100}{11}\) \(\text{Mean} = \frac{8400}{11}\) \(\text{Mean} \approx 763.64\) The mean of the given series of observations is approximately 763.64.
03

Calculate the median

To find the median, we will look for the middle number(s) in the sorted data set. Since there are 11 numbers (an odd number) in this data set, the median will be the middle number, which is the 6th number in the sorted list. \(500, 600, 800, 800, 900, \underline{900}, 900, 900, 900, 1000, 1100\) The median of the given series of observations is 900.
04

Calculate the mode

To find the mode, we will identify the number(s) that occur most frequently in the dataset. In this data set, the number 900 occurs the most often with a frequency of 5. The mode of the given series of observations is 900. To summarize, for the given series of observations, the mean is approximately 763.64, the median is 900, and the mode is 900.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Mean
The mean, also known as the average, is a fundamental concept in statistics that helps us find a central value of a data set. To calculate the mean, we need to sum up all the individual numbers and then divide by the total number of numbers in the set.

In our original problem, we were given the numbers: 500, 600, 800, 800, 900, 900, 900, 900, 900, 1000, and 1100.
  • First, add up these numbers: 500 + 600 + 800 + 800 + 900 + 900 + 900 + 900 + 900 + 1000 +1100 = 8400.
  • The number of observations, or numbers in our list, is 11.
  • So, the mean is calculated by dividing the total sum by 11, \ \(\frac{8400}{11}\ \), which equals approximately 763.64.
This value gives us an idea of the average or typical observation in the data set.

The mean is a useful summary for understanding the data, but it's important to remember it can be affected by extremely high or low values, which might make it misleading in certain situations.
Median
The median is a type of average that represents the middle value of a data set when it is arranged in order. It is particularly useful in providing a "typical" value that isn't distorted by outliers or skewed data.

To find the median, first ensure that the data is in ascending order, which has been done for us already: 500, 600, 800, 800, 900, 900, 900, 900, 900, 1000, 1100.
  • Since there are 11 data points, the median is the 6th number in the ordered list.
  • Counting in from either end, the 6th number is 900.

Thus, the median for this data set is 900.

If the number of observations had been even, we would have taken the average of the two middle numbers in the list. However, with an odd number of data points, the median is simply the center number. This value is great for giving a sense of the central tendency, especially in skewed distributions.
Mode
The mode is the number that appears most frequently in a data set. It's particularly useful for understanding the most common or popular value(s) in your observations. A data set might have one mode, more than one mode, or no mode at all if no number repeats.

In the given list: 500, 600, 800, 800, 900, 900, 900, 900, 900, 1000, and 1100:
  • Observe that the number 900 occurs five times.
  • Other numbers appear fewer times.

This makes 900 the mode, as it has the highest frequency of occurrence among all numbers in the data set.

The mode can be incredibly insightful, especially when dealing with categorical data or when trying to understand trends within your numerical data. Its ability to capture the frequency of data points can provide an immediate snapshot of dominant themes or results within a dataset.

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