Chapter 1.1: What is Statistics? Healthcare Perspective скачать в хорошем качестве

Chapter 1.1: What is Statistics? Healthcare Perspective

*Note: I may be compensated, but you will not be charged, if you click on the links below. In this video, Monika Wahi lectures to Laboure College students in her Essentials of Statistics class. Want to follow along? Get “Understanding Basic Statistics” by Brase & Brase: http://www.amazon.com/Understanding-B... Want to download the slides? Go here: https://mailchi.mp/51e5fdce2275/stats... Try Monika's courses on LinkedIn Learning: https://linkedin-learning.pxf.io/NKN0JO Try Monika's new **FREE** course in Understanding Research Forms, Surveys, and Instruments: https://monika-s-school-e295.thinkifi... WANT TO SUPPORT MONIKA? FOLLOW HER ON SOCIAL MEDIA! Follow Monika on LinkedIn for updates and to know about future live streams:   / dethwench   Subscribe to Monika's YouTube channel: https://buff.ly/2W6ijuc Follow Monika's educational feed on Twitter:   / phexaminer   Follow Monika's data science blog: https://dethwench.com/blog/ I listed the links I mention below as they come up in the lecture. Enjoy! 00:16 Learning objectives 00:42 Topics to be covered in lecture 01:08 Thinking of how to define statistics 01:15 Introduction to concepts in statistics of individuals and variables 01:36 A few definitions of statistics 02:52 Statistics is used to help us make decisions 03:11 Example: Using statistics to figure out what to put in the influenza vaccine each year 03:46 Why you can get the flu vaccine and still get sick 04:07 Informal meaning of terms “individuals” and “variables” 04:33 Meaning of “individual” in statistics – and examples 05:18 Meaning of “variable” in statistics – and examples 05:53 More examples of individuals and variables in healthcare 06:34 Statistics aids in decision-making in healthcare and guides processes 07:07 Introduction to population parameters and sample statistics 07:36 Definition of “population” in statistics with example 08:55 Definition of “sample” in statistics with example 10:00 Difference between data from populations and samples 10:28 Definition of census 10:54 Description of sample data 11:37 Example of population-level data: Medicare (check out this link for some public Medicare data: https://www.medicare.gov/download/dow... ) 12:42 Example of population-level data: United States Census (see here: https://www.census.gov/data/datasets....) 13:05 Example of sample data: Medicare Beneficiary Survey (MBS) (data available here: https://buff.ly/31farJt ) 13:43 Example of sample data: American Community Survey (ACS) (data available here: https://www.census.gov/programs-surve... ) 14:30 Statistical notation for populations and samples 15:15 Introduction to parameter vs. statistic 15:27 Definition of “parameter” (with example) 15:43 Definition of “statistic” (with example) 16:35 Examples of parameters and statistics based on the same population 17:45 Verbal clues you can look for to tell if the person is talking about a parameter vs. a statistic 19:06 Introduction to descriptive compared to inferential statistics 19:42 Definition of descriptive statistics 20:29 Definition of inferential statistics 21:29 Identifying population parameters compared to sample statistics to make sure you know what you are talking about 21:54 Introduction to classifying levels of measurement of variables 22:09 Introduction to terms quantitative, qualitative, interval, ratio, nominal, and ordinal 22:28 Begin drawing four-level data classification diagram 22:41 Description of quantitative data (also continuous data) 22:55 Examples of quantitative data 24:05 Description of qualitative data (also categorical data) 24:26 Examples of qualitative data 25:55 How to classify a variable as quantitative or qualitative 26:17 Further classifying quantitative variables as interval vs. ratio 28:05 Hairsplitting difference between interval and ratio 29:20 Demonstration of classifying quantitative variables as interval vs. ratio 30:46 Further classifying qualitative variables as nominal vs. ordinal 31:56 Demonstration of classifying qualitative variables as nominal vs. ordinal 32:41 Why it is important to classify data properly in healthcare statistics 33:13 Review of what lecture covered Chapter 1.1: What is Statistics? Healthcare Perspective