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Acute lymphoblastic leukemia is a blood related disease. For a primary data , researchers would have to go out and take blood samples from individuals for examination. Then the examine samples would help them to generate a gene expressed data set for the study. But for the purpose of our study, we would use a secondary data . We took the data from a public gene expression repository. The data set is a matrix : genes representing the rows and samples representing the columns. We then perform filtering using a threshold to remove unexpressed genes from the data set. Our dataset has a normalized fpkm values : which are skewed so we then perform a log transform to scale the data to a single unit. We then perform a pairwise comparison test for the groups. Our null hypothesis is : for each gene, n group has no significant difference in the means of the n groups. Alternative hypothesis is: for each gene , there’s a significant difference in the means of the groups . We then move to our statistical test. For pairwise comparison test, the student t test is the best to use according to literature.