Answer the following questions in about 30 words:
(i) Define the mean.
(ii) What are the advantages of using mode ?
(iii) What is dispersion ?
(iv) Define correlation.
(v) What is perfect correlation ?
(vi) What is the maximum extent of correlation?
Answers
Answer:
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Step by step explanation
- Defination of mean
Mean is defined as different branches of mathematics there are several types of means. The arithmetic mean, also called the logical expectation for a data numbers is the central value of an unique set of numbers.(or) Mean is also defined as statistical distribution with a random continuous variable, often called the expected values.
- Advantages of mode
Defination of mode:
The mode is defined as the number that appears most frequently in a set of numbers is called mode.
- Disadvantages of mode
Using mode it is easy to calculate and quick to measure.It does not show any impact on extremely large or small values . It can be identified in ungrouped data and discreet distribution of frequency only by inspection. It can also be used for qualitative data.
- Dispersion
Dispersion is defined as Measures of dispersion measure how spread out a set of data or set of numbers. When a set of data has a large value, the values in the set are distributed widely; when it is small, the objects in the set are grouped tightly. This set of data have a basically has a smaller value of 1.
- Correlation
correlation is defined as a measure of the linear relation between two quantitative variables. A slightly wider description is often used, whereby correlation simply means that the relationship between two variables.It describes positive and negative correlation, and explain how correlation can be calculated and address some correlation pitfalls.
- perfect correlation
Perfect correlation is nothing but change in the value of one variable, to the value of the other variable is in the form of a fixed proportion. The correlation between them is called as perfect correlation. It is numerically represented by +1 and –1. Maximum extent of correlation is 1.
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