Statistics for IT– Worldwideasy – 05

Statistics for that. Here you have, Applying the basic calculation principle. Calculation of percussion. Calculation of Comb Combinations. Distinguish combinations against per induction. Can be done.

Fundamental Counting
Principle -Statistics

Can be used here Determine the number of possible consequences
When there are two or more symptoms. and Can be used here Determine the number of possible consequences When there are two or more symptoms.

Motivation is a provision. In a specific order.

Permutations – Statistics

To find the number of triggers here Items, we can use basic. By the principle of calculation or by factorial notation.


Is a combination of Items not ordered are a material arrangement.

Because the order is not important Combinations, there are fewer combinations. Than inductions. Combinations A “subset” of triggers.

In mathematics, a combination is a selection of items from a collection, the order of selection is not important (unlike inductions). For example, give three fruits and say one apple, one orange, and one pear, three combinations of two can be extracted from this set: apple and pear Apples and oranges; Or pears and oranges. More formally, the k-combination in an S set is a subset of the k-specific elements in S. If the set has the element n, the number of k-combinations is equal to the two-dimensional coefficient.

See the below examples and get the idea,

Next, we meet with a very wide-ranging lesson. Until then, keep these lessons in mind.

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Statistics for IT– Worldwideasy – 04

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.


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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