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Quality Inc

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Submitted By nmish
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BUSINESS STATISTIC
TOPIC
Analysis of mass segment car sales in India and deducing the trends in monthly and yearly sales
OVERVIEW
The net sales of the passenger car segment in India stood at 2,686,429 units in 2013. Though there was a slump in the past due to the economic slowdown, this sector has started recording growth in the recent past.
The car segment in India is spread out over various segments ranging from the compact segment to luxury segment. Key segments include compact, hatchback, sedans, executive cars and SUVs. The sales for these segments are spread both geographically and demographically. The sales is seasonal as well, varying for different times of the year. The purpose of the sale varies as well. It may be for family purpose or for executive purposes. Through this analysis, we are making an attempt to bring out the key factors and data points that affect the sales of cars across segments, areas and seasons.
The analysis will be made by using various analytical tools in Microsoft Excel to project the key data points and highlight them.
SOURCE
The data has been taken from the website http://management-punditz.blogspot.in/ . They have the sales data for all car manufacturers and car models
METHODOLOGY
1. Sales trend over the year
The variation of sales trend for various segments can be found by plotting the sales in a line graph. 2. Find the most selling cars and manufacturers selling the majority of cars
A pareto chart can be plotted for the sales of different manufacturers and cars. This will tell the cars that the majority of the people are buying. 3. Mean and median sales for different cars/ manufacturers.
The mean sales can be found quite easily and can be used to determine the sweet spot i.e. the value around which the of sales for various cars fluctuates. 4. Probabilistic sales in the next month on basis of previous data
Probability can be used to determine the expected value of sales based on the previous data and trends. 5. Average and expected deviation in sales expected
The variation in sales can be found out and the reliability of expected sales value can be deduced from it. 6. Confidence level of the sales estimations
Further, this data can be used to determine the interval estimates and the confidence interval in which the values lie.

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