Part 1: Analysis of given data.
Data of 2 wheelers registered and population of city way given for the analysis. It included data for years 2009, 2010 and 2011 along with city and states. Analysis included:
1.Finding Mean, Median and Mode: They can be defined as:
• Mean:
It is the sum of a collection of numbers divided by the number of numbers in the collection.In probability and statistics, mean and expected value are used synonymously to refer to one measure of the central tendency either of a probability distribution or of the random variable characterized by that distribution.[1] In the case of a discrete probability distribution of a random variable X, the mean is equal to the sum over every possible value weighted by the probability of that value; that is, it is computed by taking the product of each possible value x of X and its probability P(x), and then adding all these products together, giving \mu = \sum x P(x).[
•Median:
The median of a finite list of numbers can be found by arranging all the observations from lowest value to highest value and picking the middle one (e.g., the median of {3, 5, 9} is 5). If there is an even number of observations, then there is no single middle value; the median is then usually defined to be the mean of the two middle values.
•Mode:
The mode is the value that appears most often in a set of data. We used the function of mode in excel to check the region.
PART 2. Frequency Analysis:
We classified all states and cities to 5 regions i.e. North, South, East, West and Central region. We framed a frequenncy table in SPSS to check the frequency and the percentage of disribution under each region.
Written by: Omkar Gujar
Team Members:
Payal Singh
Noopur Mandhayan
Radhika Agarwall
Pranav Sharma
Data of 2 wheelers registered and population of city way given for the analysis. It included data for years 2009, 2010 and 2011 along with city and states. Analysis included:
1.Finding Mean, Median and Mode: They can be defined as:
• Mean:
It is the sum of a collection of numbers divided by the number of numbers in the collection.In probability and statistics, mean and expected value are used synonymously to refer to one measure of the central tendency either of a probability distribution or of the random variable characterized by that distribution.[1] In the case of a discrete probability distribution of a random variable X, the mean is equal to the sum over every possible value weighted by the probability of that value; that is, it is computed by taking the product of each possible value x of X and its probability P(x), and then adding all these products together, giving \mu = \sum x P(x).[
•Median:
The median of a finite list of numbers can be found by arranging all the observations from lowest value to highest value and picking the middle one (e.g., the median of {3, 5, 9} is 5). If there is an even number of observations, then there is no single middle value; the median is then usually defined to be the mean of the two middle values.
•Mode:
The mode is the value that appears most often in a set of data. We used the function of mode in excel to check the region.
PART 2. Frequency Analysis:
We classified all states and cities to 5 regions i.e. North, South, East, West and Central region. We framed a frequenncy table in SPSS to check the frequency and the percentage of disribution under each region.
Written by: Omkar Gujar
Team Members:
Payal Singh
Noopur Mandhayan
Radhika Agarwall
Pranav Sharma
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