Hello there,
I have 6 Supplier samples to compare based on the Durability and Cost. In Total there are 6 Samples * 25 observation each = 150 observations. I would like to use Minitab to generate the outcome for selection of the Sample from one of these 6 samples.
The data set is from samples provided by the suppliers containing Durability (in months) and Cost (in rupees). I will have to select the best possible sample to fit the company needs.
But I have no idea what I should use for comparing these 6 Samples. Could anyone give me an idea?
Sorry for my English and Thanks in advance!!!
To help your understanding...the data set looks like this:
Samples Durability Cost
Sample 1 39 3800
Sample 1 38 3800
Sample 1 40 3800
Sample 1 42 3800
Sample 1 47 3800
Sample 1 42 3800
Sample 1 39 3800
Sample 1 37 3800
Sample 1 41 3800
Sample 1 46 3800
Sample 1 40 3800
Sample 1 38 3800
Sample 1 40 3800
Sample 1 44 3800
Sample 1 41 3800
Sample 1 44 3800
Sample 1 44 3800
Sample 1 43 3800
Sample 1 41 3800
Sample 1 41 3800
Sample 1 40 3800
Sample 1 43 3800
Sample 1 47 3800
Sample 1 38 3800
Sample 1 41 3800
Sample 2 1 950
Sample 2 0 950
Sample 2 0 950
Sample 2 1 950
Sample 2 1 950
Sample 2 1 950
Sample 2 1 950
Sample 2 1 950
Sample 2 0 950
Sample 2 1 950
Sample 2 1 950
Sample 2 0 950
Sample 2 0 950
Sample 2 1 950
Sample 2 0 950
Sample 2 0 950
Sample 2 0 950
Sample 2 0 950
Sample 2 1 950
Sample 2 1 950
Sample 2 1 950
Sample 2 0 950
Sample 2 1 950
Sample 2 0 950
Sample 2 1 950
Sample 3 6 1150
Sample 3 6 1150
Sample 3 6 1150
Sample 3 6 1150
Sample 3 7 1150
Sample 3 6 1150
Sample 3 5 1150
Sample 3 7 1150
Sample 3 6 1150
Sample 3 8 1150
Sample 3 6 1150
Sample 3 8 1150
Sample 3 5 1150
Sample 3 8 1150
Sample 3 6 1150
Sample 3 5 1150
Sample 3 6 1150
Sample 3 8 1150
Sample 3 6 1150
Sample 3 7 1150
Sample 3 8 1150
Sample 3 5 1150
Sample 3 7 1150
Sample 3 7 1150
Sample 3 6 1150
Sample 4 1 780
Sample 4 1 780
Sample 4 1 780
Sample 4 1 780
Sample 4 0 780
Sample 4 1 780
Sample 4 0 780
Sample 4 2 780
Sample 4 2 780
Sample 4 2 780
Sample 4 1 780
Sample 4 1 780
Sample 4 2 780
Sample 4 0 780
Sample 4 2 780
Sample 4 2 780
Sample 4 1 780
Sample 4 1 780
Sample 4 2 780
Sample 4 1 780
Sample 4 1 780
Sample 4 1 780
Sample 4 1 780
Sample 4 1 780
Sample 4 2 780
Sample 5 2 680
Sample 5 1 680
Sample 5 0 680
Sample 5 1 680
Sample 5 1 680
Sample 5 1 680
Sample 5 2 680
Sample 5 1 680
Sample 5 1 680
Sample 5 0 680
Sample 5 0 680
Sample 5 2 680
Sample 5 1 680
Sample 5 1 680
Sample 5 1 680
Sample 5 2 680
Sample 5 0 680
Sample 5 2 680
Sample 5 2 680
Sample 5 1 680
Sample 5 1 680
Sample 5 0 680
Sample 5 0 680
Sample 5 2 680
Sample 5 0 680
Sample 6 18 365
Sample 6 24 365
Sample 6 20 365
Sample 6 19 365
Sample 6 20 365
Sample 6 21 365
Sample 6 21 365
Sample 6 21 365
Sample 6 23 365
Sample 6 18 365
Sample 6 21 365
Sample 6 22 365
Sample 6 22 365
Sample 6 22 365
Sample 6 21 365
Sample 6 24 365
Sample 6 20 365
Sample 6 23 365
Sample 6 23 365
Sample 6 21 365
Sample 6 23 365
Sample 6 21 365
Sample 6 18 365
Sample 6 22 365
Sample 6 22 365
I have 6 Supplier samples to compare based on the Durability and Cost. In Total there are 6 Samples * 25 observation each = 150 observations. I would like to use Minitab to generate the outcome for selection of the Sample from one of these 6 samples.
The data set is from samples provided by the suppliers containing Durability (in months) and Cost (in rupees). I will have to select the best possible sample to fit the company needs.
But I have no idea what I should use for comparing these 6 Samples. Could anyone give me an idea?
Sorry for my English and Thanks in advance!!!
To help your understanding...the data set looks like this:
Samples Durability Cost
Sample 1 39 3800
Sample 1 38 3800
Sample 1 40 3800
Sample 1 42 3800
Sample 1 47 3800
Sample 1 42 3800
Sample 1 39 3800
Sample 1 37 3800
Sample 1 41 3800
Sample 1 46 3800
Sample 1 40 3800
Sample 1 38 3800
Sample 1 40 3800
Sample 1 44 3800
Sample 1 41 3800
Sample 1 44 3800
Sample 1 44 3800
Sample 1 43 3800
Sample 1 41 3800
Sample 1 41 3800
Sample 1 40 3800
Sample 1 43 3800
Sample 1 47 3800
Sample 1 38 3800
Sample 1 41 3800
Sample 2 1 950
Sample 2 0 950
Sample 2 0 950
Sample 2 1 950
Sample 2 1 950
Sample 2 1 950
Sample 2 1 950
Sample 2 1 950
Sample 2 0 950
Sample 2 1 950
Sample 2 1 950
Sample 2 0 950
Sample 2 0 950
Sample 2 1 950
Sample 2 0 950
Sample 2 0 950
Sample 2 0 950
Sample 2 0 950
Sample 2 1 950
Sample 2 1 950
Sample 2 1 950
Sample 2 0 950
Sample 2 1 950
Sample 2 0 950
Sample 2 1 950
Sample 3 6 1150
Sample 3 6 1150
Sample 3 6 1150
Sample 3 6 1150
Sample 3 7 1150
Sample 3 6 1150
Sample 3 5 1150
Sample 3 7 1150
Sample 3 6 1150
Sample 3 8 1150
Sample 3 6 1150
Sample 3 8 1150
Sample 3 5 1150
Sample 3 8 1150
Sample 3 6 1150
Sample 3 5 1150
Sample 3 6 1150
Sample 3 8 1150
Sample 3 6 1150
Sample 3 7 1150
Sample 3 8 1150
Sample 3 5 1150
Sample 3 7 1150
Sample 3 7 1150
Sample 3 6 1150
Sample 4 1 780
Sample 4 1 780
Sample 4 1 780
Sample 4 1 780
Sample 4 0 780
Sample 4 1 780
Sample 4 0 780
Sample 4 2 780
Sample 4 2 780
Sample 4 2 780
Sample 4 1 780
Sample 4 1 780
Sample 4 2 780
Sample 4 0 780
Sample 4 2 780
Sample 4 2 780
Sample 4 1 780
Sample 4 1 780
Sample 4 2 780
Sample 4 1 780
Sample 4 1 780
Sample 4 1 780
Sample 4 1 780
Sample 4 1 780
Sample 4 2 780
Sample 5 2 680
Sample 5 1 680
Sample 5 0 680
Sample 5 1 680
Sample 5 1 680
Sample 5 1 680
Sample 5 2 680
Sample 5 1 680
Sample 5 1 680
Sample 5 0 680
Sample 5 0 680
Sample 5 2 680
Sample 5 1 680
Sample 5 1 680
Sample 5 1 680
Sample 5 2 680
Sample 5 0 680
Sample 5 2 680
Sample 5 2 680
Sample 5 1 680
Sample 5 1 680
Sample 5 0 680
Sample 5 0 680
Sample 5 2 680
Sample 5 0 680
Sample 6 18 365
Sample 6 24 365
Sample 6 20 365
Sample 6 19 365
Sample 6 20 365
Sample 6 21 365
Sample 6 21 365
Sample 6 21 365
Sample 6 23 365
Sample 6 18 365
Sample 6 21 365
Sample 6 22 365
Sample 6 22 365
Sample 6 22 365
Sample 6 21 365
Sample 6 24 365
Sample 6 20 365
Sample 6 23 365
Sample 6 23 365
Sample 6 21 365
Sample 6 23 365
Sample 6 21 365
Sample 6 18 365
Sample 6 22 365
Sample 6 22 365