How do you classify modal series?
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In machine learning and statistics, classification is the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known. An example would be assigning a given email into "spam" or "non-spam" classes or assigning a diagnosis to a given patient as described by observed characteristics of the patient (gender, blood pressure, presence or absence of certain symptoms, etc.). Classification is an example of pattern recognition.
In the terminology of machine learning,[1]classification is considered an instance of supervised learning, i.e. learning where a training set of correctly identified observations is available. The corresponding unsupervised procedure is known as clustering, and involves grouping data into categories based on some measure of inherent similarity or distance.
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Statistics for Economics Class 11 Notes Chapter 5 Measures of Central Tendency
July 5, 2019 by Sastry CBSE
Statistics for Economics Class 11 Notes Chapter 5 Measures of Central Tendency
Central Tendency
A central tendency refers to a central value or a representative value of a statistical series.
According to Clark, “An average is a figure that represents the whole group”.
Types of Statistical Averages
Averages are broadly classified into two categories
Mathematical Averages
Positional Averages
Arithmetic Mean
Arithmetic Mean is the number which is obtained by adding the values of all the items of a series and dividing the total by the number of items.
Arithmetic Mean is generally written as X. It may be expressed in the form of following formula
X¯¯¯¯=x1+x2+x3+……xNN or ΣX¯¯¯¯¯N
Types of Arithmetic Mean
Simple Arithmetic Mean
Weighted Arithmetic Mean
Methods of Calculating Simple Arithmetic Mean
(i) Individual Series In the case of individual series, Arithmetic Mean may be calculated by two methods
Direct Method According to this method, we find the Arithmetic mean from the following formula
X¯¯¯¯=ΣXN or X¯¯¯¯= Total value of the item Number of items
Short-cut Method By short cut method, we find the Arithmetic Mean from the following formula
X¯¯¯¯=A+ΣdN
Here, X¯¯¯¯ = Arithmetic Mean, A = Assumed average of Ed = Net sum of the deviations of the different values from the assumed average; and N = Number of items in the series,
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