The processing of transforming data into meaningful information.  data collection false data processing true data preparation false data input false Single The process of cleaning and manipulating data so it can be used for analysis. data collection false data processing false data preparation true data input false Single A data transformation approach wherein the value of a variable is changed into a set of different values. The most common practice of this approach is changing nominal values to numerical values.  data input false data recoding true data storage false listwise deletion false Single The following are different ways of doing imputation, EXCEPT:  mean imputation false imputation using the most frequent value false cold-deck imputation false median imputation true Single Roger realized that there was missing data. As a result, he filled in the missing value of the missing data. What strategy did he use?  pairwise deletion false list-wise deletion false imputation true pairwise deletion false Single The process of abstracting and summarizing data and presenting them in graphical form to communicate the quantitative data to the audience. data visualization true data processing false data recoding false data preparation false Single It arranges data into rows and columns, with labels applied to indicate categories.  bar graph false line graph false table true chart false Single A type of graph with rectangular bars that plots numeric values of categorical features.  pie chart false line graph false bar graph true scatter plot false Single A type of graph that plots data connected with a straight line. pie chart false line graph true bar graph false stacked bar graph false Single The following are reasons why researchers create data visualization, EXCEPT: It summarizes the data. false It shows a comparison of values. false It reveals patterns in data. false It helps researchers delete unnecessary data.  true Single