Chapter 1.1: What is Statistics? Healthcare Perspective
Channel: Monika Wahi
Date: 2015-09-13

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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-Basic-Statistics-6th-Edition/dp/1111827028 
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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/downloaddb.asp )
12:42 Example of population-level data: United States Census (see here: https://www.census.gov/data/datasets.html)
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-surveys/acs/data.html )
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