I have a project its for statistics it is asking too compare two sets of quantitative data each having 25 data values, after that I need to form a side by side histogram and explain how these two data sets are similar and different

Here is the rubric maybe it shall help:

EC @ RHC Ca... 0 Californ... I] E classroomgooglecom C a Holland'... $3 Californ... E Rio Hon... M Compo... a Edgar... a Univaria... Statistics Unit 1 Project Critical Statistical Analysis (CSA): Comparing Quantitative Data Locate two sets of related quantitative data (each having at least 25 data values) suitable for comparison in a newspaper, magazine, periodical, recent book, or on the Intemet. YOU must obtain this data without consultation from other students. Be certain to make a copy of the source data and to record the bibliographical information. They are part of the CSA scoring rubric. Once you have obtained your data use appropriate graphical and numerical techniques (back-to-back stemplots, side-by-side boxplots, histograms and measures of center and spread) to compare the two sets of data. The narrative comparison of the two data sets most include context based on your graphical and numerical summaries. Comment on each of your graphical comparisons as demonstrated in class. Discuss which display(s) and statistics are most helpful in comparing the data sets. Use appropriate terminology, and write in complete, grammatically correct sentences. Organization, Transition, and Appearance is important. Your document must be computer generated (no handwritten images are accepted). You can use https:([stats.cpm.org to create your graphs and summary statistics or any other software of your choice. DO NOT discuss your analysis with any other person it is to be your own work. Late work is not accegted. Your CSA will be evaluated on accuracy of graphical representations and numerical summaries, quality of your written analysis, neatness, and organization. The marking guide follows the rubric below: Organization, Transition, Appearance 4 The CSA shows evidence of careful organization, ows naturally from statistical technique to statistical analysis, and is neat in appearance. There are minor aws in one of the areas: organization, transition, appearance. There are major aws in one of the areas: organization, transition, appearance, OR minor aws in two areas. Completely inadequate in two or more of: organization, transition, appearance. Completely inadequate: organization, transition, appearance. Accuracy of Graphical/Numerical Summary Techniques ,. q clinics i... 5 Ask a Q... S how to