Once data has been collected, the first step of analysis is to summarise the data using basic descriptive analysis. The resources in this section will guide you on understanding measures of central tendency, spread and skewness.
Statistics for Evidence-Based Practice and Evaluation by 
Towards Advanced Data Analysis by Combining Soft Computing and Statistics by 
SPSS Statistics for Data Analysis and Visualization by 
Synergies of Soft Computing and Statistics for Intelligent Data Analysis by 
Statistical Analysis of Clinical Data on a Pocket Calculator by 
Statistics for Health Care Professionals by 
Multivariate Descriptive Statistical Analysis by 
A Crash Course in Statistics by 
Statistics : plain and simple by 
Reading statistics and research by 
Oxford Handbook of Medical Statistics by 
Medical Statistics Made Easy by 
Medical Statistics at A Glance by 
Medical Statistics from A to Z by 
Using and Understanding Medical Statistics by 
Medical Statistics by 
Medical Statistics from Scratch by 
Medical Statistics Made Easy by 
Munro's Statistical Methods for Health Care Research by 
Essentials of Biostatistics in Public Health by 
Basic Statistics for the Health Sciences by 
Introduction to Statistics by 
The Art of Data Analysis by 
Statistics for Nursing: a Practical Approach by 
Statistics for the Health Sciences by 
Categorical and Nonparametric Data Analysis by 
Nonparametric Methods in Statistics with SAS Applications by 1. Manikandan S. (2011). Measures of central tendency: Median and mode. Journal of pharmacology & pharmacotherapeutics, 2(3), 214–215. https://doi.org/10.4103/0976-500X.83300. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3157145/
2. Roberts S, McInnes E, Bucknall T, Wallis M, Banks M, Chaboyer W. Process evaluation of a cluster-randomised trial testing a pressure ulcer prevention care bundle: a mixed-methods study. Implement Sci. 2017 Feb 13;12(1):18. doi: 10.1186/s13012-017-0547-2. PMID: 28193242; PMCID: PMC5307838. https://pubmed.ncbi.nlm.nih.gov/28193242/
3. Mercedes A, Fairman P, Hogan L, Thomas R, Slyer JT. Effectiveness of structured multidisciplinary rounding in acute care units on length of stay and satisfaction of patients and staff: a quantitative systematic review. JBI Database System Rev Implement Rep. 2016 Jul;14(7):131-68. doi: 10.11124/JBISRIR-2016-003014. PMID: 27532795. https://pubmed.ncbi.nlm.nih.gov/27532795/
4. Kapetas P, Clauser P, Woitek R, Wengert GJ, Lazar M, Pinker K, Helbich TH, Baltzer PAT. Quantitative Multiparametric Breast Ultrasound: Application of Contrast-Enhanced Ultrasound and Elastography Leads to an Improved Differentiation of Benign and Malignant Lesions. Invest Radiol. 2019 May;54(5):257-264. doi: 10.1097/RLI.0000000000000543. PMID: 30632985; PMCID: PMC8284878. https://pubmed.ncbi.nlm.nih.gov/30632985/
5. Mishra P, Pandey CM, Singh U, Gupta A, Sahu C, Keshri A. Descriptive statistics and normality tests for statistical data. Ann Card Anaesth. 2019 Jan-Mar;22(1):67-72. doi: 10.4103/aca.ACA_157_18. PMID: 30648682; PMCID: PMC6350423. https://pubmed.ncbi.nlm.nih.gov/30648682/
6. Polit DF, Beck CT. Generalization in quantitative and qualitative research: myths and strategies. Int J Nurs Stud. 2010 Nov;47(11):1451-8. doi: 10.1016/j.ijnurstu.2010.06.004. Epub 2010 Jul 3. PMID: 20598692. https://pubmed.ncbi.nlm.nih.gov/20598692/
7. Pelto PJ. What is so new about mixed methods? Qual Health Res. 2015 Jun;25(6):734-45. doi: 10.1177/1049732315573209. Epub 2015 Feb 26. PMID: 25721718. https://pubmed.ncbi.nlm.nih.gov/25721718/
