Probability and Statistical Inference

Probability and Statistical Inference
Slide Note
Embed
Share

In this material, various aspects of variables, measurements, and data collection in Statistics are discussed. It covers the definition of variables, examples of variables, the concept of measurements, and data collection processes. Additionally, it touches on exploratory data analysis techniques. The content also addresses practical applications in educational settings, including the use of ASSISTments for homework assignments. Overall, the discussion aims to build a foundational understanding of essential statistical concepts.

  • Statistics
  • Variables
  • Measurements
  • Data Analysis
  • Educational

Uploaded on Feb 15, 2025 | 0 Views


Download Presentation

Please find below an Image/Link to download the presentation.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.

You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.

E N D

Presentation Transcript


  1. HUDM4122 Probability and Statistical Inference January 26, 2015

  2. ASSISTments Did everyone get an account for the ASSISTments system? Did anyone have difficulties setting up an account? First homework is due in a week

  3. Today Ch. 1 in Mendenhall, Beaver, & Beaver Variables and Variable Types Graphing Data Basic Exploratory Data Analysis

  4. Variables What is a variable?

  5. Variables What is a variable? A variable is a characteristic that changes or varies over time and/or for different individuals or objects under consideration. MBB p. 8

  6. Which of these are examples of variables? GPA Shoe size Age Number of correct answers in ASSISTments Number of times gamed the system in ASSISTments Favorite vegetable Favorite type of pie Pi

  7. What is a measurement?

  8. What is a measurement? A measurement is the result of measuring a variable on a single experimental unit A person, if you are studying people A class, if you are studying classes A pizza, if you are studying pizzas

  9. A measurement Person furthest towards my left in the front row, what is your name?

  10. Now I have a measurement

  11. A measurement Person furthest towards my right in the second row, what is your name?

  12. Now I have data A set of measurements

  13. Now I have data A set of measurements Note that in stats class or education journals, the word data is plural

  14. Now I have data A set of measurements Note that in stats class or education journals, the word data is plural I only know one exception

  15. Now I have data A set of measurements Note that in stats class or education journals, the word data is plural I only know one exception

  16. Everyone repeat after me

  17. Everyone repeat after me My data are in this Excel file.

  18. Everyone repeat after me My data are in this Excel file. Your data aren t evidence for that conclusion.

  19. Everyone repeat after me My data are in this Excel file. Your data aren t evidence for that conclusion. His data were hard to collect.

  20. However

  21. However I do not recommend insisting that data is plural in bars, on first dates, or at Thanksgiving dinner

  22. Any questions or concerns?

  23. Univariate Data A single variable is collected Height 5 11 5 11 5 10 5 6

  24. Univariate Data Two variables are collected (for the same data point) Height Drum-Playing Skill 5 11 1 5 11 2 5 10 4 5 6 8

  25. Multivariate Data 3+ variables are collected Name Height Drum-Playing Skill John Lennon 5 11 1 Paul McCartney 5 11 2 George Harrison 5 10 4 Ringo Starr 5 6 8

  26. Any questions or concerns?

  27. Types of Variables

  28. Quantitative/Numerical Data Data that can be expressed as numbers

  29. What are some examples Of numerical data?

  30. Ordinal Data Refers to data where there is a known order, but either The data clearly isn t numbers The space between values is not guaranteed to be equal

  31. Examples of Ordinal Data Months of the year: January, February, March, April, Agreement level: Strongly Agree, Agree, Neutral, Disagree, Strongly Disagree Quality of university: Highly selective, selective, somewhat selective, non-selective

  32. Other examples of ordinal data?

  33. Nominal data Values have no order or spacing Name State of Residence New Jersey is not greater or less than New York

  34. Nominal data Values have no order or spacing Name State of Residence New Jersey is not greater or less than New York Although my brother might disagree

  35. Other Examples of Nominal Data?

  36. Another name Nominal data is often also called categorical data

  37. Another name Nominal data is often also called categorical data Technically ordinal data is also categorical, but no one ever uses the term that way

  38. Any questions or concerns?

  39. Exploratory Data Analysis Analyzing data sets to summarize their main characteristics Seeing what the data can tell us beyond the formal modeling or hypothesis testing task

  40. Goal Generate hypotheses Understand your data better

  41. Often (but not always) done with graphs

  42. Which of these is your favorite type of graph? Pie chart Bar graph Frequency histogram Line graph Scatterplot Stem-and-leaf plot Box plot Other

  43. Pie Chart Take a set of categories that add to 100% Show the proportion each category has

  44. Pie Chart: Example What is everyone's favorite pie? Pumpkin Apple Cherry Rhubarb Banana Cream

  45. Interpret This Graph Please What is everyone's favorite pie? Pumpkin Apple Cherry Rhubarb Banana Cream

  46. Never Ever Do This: Completely Visually Misleading Fair use; critique

  47. Lets make a pie chart Using the your favorite graph data

  48. Any questions?

  49. Alternative: Bar Graphs What is everyone's favorite pie? 30 25 20 15 10 5 0 Pumpkin Apple Cherry Rhubarb Banana Cream

  50. Interpret this graph please What is everyone's favorite pie? 30 25 20 15 10 5 0 Pumpkin Apple Cherry Rhubarb Banana Cream

More Related Content