Statistical analysis using SPSS

DAY 2 -

The IBM SPSS Statistics

Starting with the 2nd continuous session of studying statistics , we carried out with a research on change in headlight designs by the two wheeler manufacturing firms. In which we studied about population sizes- census , purchasing power/ Income , no. of 2 wheelers . In which we took the data of the year 2009,2010 and 2011.

Now starting with the analysis we 1st went on to find the regions where the cities or states are located in like ( north,south, east and west ) by clicking the 'Transform' option and then 'recode into different variables'  then 'state no.' in alphabatical order.

The 3 'M's

MEAN VALUE where we took out the average according to the regions

Median value which is the numerical value separating the higher half of the data sample from the lower half . We found the median value by going to analyze > descriptive statistics > frequencies

Mode is the highest value available frequency in the data .

Then we went onto learning about Boxplot, which is another useful visualization for viewing how the data are distributed. A boxplot contains several statistical measures that we will explore.

Handles Large Data Easily

    Due to the five number data summary, a box plot is able to handle and present a summary of a large amount of data. A box plot consists of the median, which is the midpoint of the range of data; the upper and lower quartiles, which represent the numbers above and below the highest and lower quarters of the data; and the minimum and maximum data values. Organizing data in a box plot by using five key concepts is an efficient way of dealing with large data that is too unmanageable for other graphs, such as line plots or stem and leaf plots.

But there is a disadvantage also as it's

Exact Values Not Retained

    The issue with handling such large amounts of data in a box plot is that the exact values and details of the distribution of results are not retained. A box plot shows only a simple summary of the distribution of results, so that it can be quickly viewed and compared with other data. For a thorough, more detailed analysis of data a box plot should be used in combination with another statistical graph method, such as a histogram.

References :

Read more: http://www.ehow.com/info_12025269_advantages-disadvantages-box-plot.html#ixzz2Y0fJbTuke after creating the visualization.

Written by - Prateek jain

Team members

Nishant

POOJA

PRANSHU

PRIYANKA

PRATEEK