Qualitative and Quantitative Data Analysis
Name:Saffat Rahaman
Id:0630059
Section:04
Spring2010,
Email ID:0630059
I have asked 20 people who live in Mirpur about their choice of soft drink they used to buy. Their answer s(my data set) are given below.
Dataset 01: mojo mojo mojo mojo rc coke rc rc sprite coke mojo rc rc lemu lemu sprite lemu mojo sprite 7up ice
Qualitative data analysis: from this data set we get to know the name and the number of the brands they choose and 2o people’s frequency of choosing among these brands. class Frequency Relative frequency Percent frequency
Mojo 6 .30 30
RC 5 .25 25
Sprite 3 .15 15
Coke 2 .10 10
Lemu 3 .15 15
7up Ice 1 .05 05
Total 20 1.00 100
The table above shows that most of the people prefer hierarchically mojo,rc and so on. We may assume the costs of the brands are responsible for that in this specific territory.
We also asked the same 20 people about what quantity[cans or bottles] of soft drinks they used to buy in a week. The dataset is given below.
Dataset 02: 3 2 7 10 10 6 8 11 13 13 15 14 13 12 16 16 20 25 24 21
Quantitative data analysis:
No. of class=5 [2 to the power 5=32>25]
Class Width=5 [{25-2}/5=4.6] No. purchase in a week Frequency Relative frequency Percent frequency
1-5 2 .1
6-10 5 .25
11-15 7 .35
16-20 3 .15
21-25 3 .15 total We can see most people buy within 11-15 n less people buy within
Id:0630059
Section:04
Spring2010,
Email ID:0630059
I have asked 20 people who live in Mirpur about their choice of soft drink they used to buy. Their answer s(my data set) are given below.
Dataset 01: mojo mojo mojo mojo rc coke rc rc sprite coke mojo rc rc lemu lemu sprite lemu mojo sprite 7up ice
Qualitative data analysis: from this data set we get to know the name and the number of the brands they choose and 2o people’s frequency of choosing among these brands. class Frequency Relative frequency Percent frequency
Mojo 6 .30 30
RC 5 .25 25
Sprite 3 .15 15
Coke 2 .10 10
Lemu 3 .15 15
7up Ice 1 .05 05
Total 20 1.00 100
The table above shows that most of the people prefer hierarchically mojo,rc and so on. We may assume the costs of the brands are responsible for that in this specific territory.
We also asked the same 20 people about what quantity[cans or bottles] of soft drinks they used to buy in a week. The dataset is given below.
Dataset 02: 3 2 7 10 10 6 8 11 13 13 15 14 13 12 16 16 20 25 24 21
Quantitative data analysis:
No. of class=5 [2 to the power 5=32>25]
Class Width=5 [{25-2}/5=4.6] No. purchase in a week Frequency Relative frequency Percent frequency
1-5 2 .1
6-10 5 .25
11-15 7 .35
16-20 3 .15
21-25 3 .15 total We can see most people buy within 11-15 n less people buy within