Statistics for that. Expansion Summarize data using median trend measurements such as the mean. Mean, mode, and midrange. Describe data using variability measurements such as range, variability, and so on. Identify the location of a data value in a dataset using various measurements, such as percentages, decimals, and quarters in Statistics.

## Measures in Statistics

### Measures in Central Tendency in Statistics

- A measure of centripetal tendency is a detailed statistic. Describes the average or average value of a set of points.
- There are three common measures of central tendency,
- mean
- median
- mode

- When raw data is organized it helps to display it. The form of a table showing the frequency (e) with each data Item (x) occurs. Such a table is called a frequency table.
- However, this may be the case when a large range of data is involved. Breaking down data into smaller groups first is beneficial. In which case, the resulting table is called a group Frequency table.

### Mean (Arithmetic Mean)

- The average calculation of mean numbers “middle” Is the value of a set of numbers. Add up all the numbers to calculate it. Then divide how There are many numbers.
- The arithmetic mean or abbreviated mean of an N group.

#### THE ARITHMETIC MEAN COMPUTED FROM

GROUPED DATA IN STATISTICS

Assumes a procedure for finding the mean for group data. That the mean of all raw data values in each class is the same Takes the middle point of the class. In reality, this is not true. The average of the raw data values for each class will not be average. The same as the midpoint. However, using this procedure From some Will give an acceptable approximation of the mean.

Values fall above the midpoint and other values fall below For each class, the midpoint and the midpoint represent Assessing all values in the class.

Ex: Miles Run per Week

### The Median

The mean is half of a dataset. Before you can find this out, the data must be arranged in order. Then The dataset is ordered, which is called the data array. Mean Will fall between a certain value or two in the dataset.

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