RNA-seq was commonly used until 2000 , while microarrays became prominent a decade later. True False QUESTION 2 For a t-test that provides a p value of 0.01, this means that one time in 1000 the observed difference between the control and experimental groups will occur by chance. True False One way to assess the reproducibility of a microarrays experiment would be to use r, the correlation coefficient statistical measure between the 2 replicates ( 0.9. Pearson correlation). True False QUESTION 4 The main difference between microarrays and RNA-seq is that RNA-seq measures all RNA species present in a sample, including both coding and non coding RNA, while microarrays measure only preselected transcripts existing on the microarray chip True False Inferential statistics aim to draw conclusions about an additional population outside of your dataset. True False QUESTION 6 For more than 2 conditions (e.g., analyzing multiple time points or measuring the effects of several drugs on gene expression), a t-test is appropriate than the analysis of variance (ANOVA) method. True False