Wednesday, January 29, 2020

2.7 Measures of Variation

Comic of the Day
Tip: If at first you don't succeed, fudge the data


Deadlines & Announcements
Lab 2 Mobius questions due Fri Jan 31
Production Assignment 1 due Sun Feb 2 (will need to submit draft to WriteOn several days in advance)
Chapter 1&2 assignments (Moodle) due Mon Feb 3
Watch your rounding for the assignments.  Keep extra decimals for intermediate answers, then round your final answer only.
Theory Exam (Chapter 1&2) in class Mon Feb 3
Drop-in tutorials will run every Tue 12-12:50 in CAT286 (computer lab)

Today - 2.7 Measures of Variation
Notes on Moodle
Standard deviation using a dotplot


Next Lab - Lab 3 - Charts and PivotTables
Watch the video tutorial and refer to the sample pdf

Monday, January 27, 2020

2.5-2.6 Measures of Central Tendency

Comic of the Day


Tip: Laughter is the best medicine.  It makes the math hurt less.

Canadian music to study to
Tom Cochrane - "median"
Tragically Hip - "meridian"


Deadlines & Announcements
Lab 2 Mobius questions due Fri Jan 31
Production Assignment 1 due Sun Feb 2 (will need to submit draft to WriteOn several days in advance)
Chapter 1&2 assignments (Moodle) due Mon Feb 3
Watch your rounding for the assignments.  Keep extra decimals for intermediate answers, then round your final answer only.
Theory Exam (Chapter 1&2) in class Mon Feb 3
Drop-in tutorials will run every Tue 12-12:50 in CAT286 (computer lab)

Today - 2.5-2.6 Measures of Central Tendency
Notes on Moodle
How are meanmedian, and mode affected by an outlier?

Remember: A meridian is a line on a map, not a statistical term or what you crash your car into!



Next Lecture - 2.7 Measures of Variation
Pre-read §2.7
Practice this online activity to calculate standard deviation
https://www.khanacademy.org/math/probability/data-distributions-a1/summarizing-spread-distributions/a/calculating-standard-deviation-step-by-step

Thursday, January 23, 2020

Lab 2 - Frequency Distribution and Histograms

Comic of the Day

Tip: Always label your axes.

Warmup
Fill in the blanks with the words FUNCTION or FORMULA
A __________ uses mathematical operators to calculate a value
A __________ is built in and has a specific syntax for its inputs
An example of a __________ is "=SUM(A1:A5)"
An example of a __________ is "=A1+A2+A3+A4+A5"
Avoid "=SUM(A1+A2+A3+A4+A5)"

Deadlines & Announcements
Lab 1 Mobius questions due Fri Jan 24
Production Assignment 1 due Sun Feb 2 (will need to submit draft to WriteOn several days in advance)
Chapter 1&2 assignments (Moodle) due Mon Feb 3
Watch your rounding for the assignments.  Keep extra decimals for intermediate answers, then round your final answer only.
Theory Exam (Chapter 1&2) in class Mon Feb 3
Drop-in tutorials will run every Tue 12-12:50 in CAT286 (computer lab)

Today - Lab 2 - Frequency Distribution and Histograms
Video tutorial and Mobius questions on Moodle
Check your email for other data files from me

Tips:
  • Formulas or functions always start with =
  • Press Enter to accept a formula, or Esc to exit without saving changes
  • Start typing =COU in the formula bar in Excel and it will give you a choice of which function to use (e.g. COUNT, COUNTA, COUNTIF...) then the syntax for that function

    Next Lecture - 2.5-2.6 Measures of Central Tendency
    Pre-read §2.5-2.6
    Watch this 3:54 primer video on mean, median and mode

    https://www.khanacademy.org/math/probability/data-distributions-a1/summarizing-center-distributions/v/mean-median-and-mode

    Wednesday, January 22, 2020

    2.3-2.4 Measures of Relative Standing and Boxplots

    Comic of the Day

    Tip: Statistics - Strengthening arguments since ~1763AD±100 

    Deadlines & Announcements
    Lab 1 Mobius questions due Fri Jan 24
    Chapter 1&2 assignments (Moodle) due Mon Feb 3
    Watch your rounding for the assignments.  Keep extra decimals for intermediate answers, then round your final answer only.
    Theory Exam (Chapter 1&2) in class Mon Feb 3
    Drop-in tutorials will run every Tue 12-12:50 in CAT286 (computer lab)

    Today - 2.3-2.4 Measures of Relative Standing and Boxplots
    Notes on Moodle

    Next Lecture - Lab 2 - Frequency Distribution and Histograms
    Watch video tutorial on Moodle

    Monday, January 20, 2020

    2.1 Interpret Statistical Graphs

    Comic of the Day
    Tip: Never do statistics on an empty stomach.

    Deadlines & Announcements
    Lab 0 Mobius questions due Fri Jan 17
    Chapter 1&2 assignments (Moodle) due Mon Feb 3
    Watch your rounding for the assignments.  Keep extra decimals for intermediate answers, then round your final answer only.
    Theory Exam (Chapter 1&2) in class Mon Feb 3
    Drop-in tutorials will run every Tue 12-12:50 in CAT286 (computer lab)

    Today - 2.1-2.2 Statistical Graphs and Histograms
    What is misleading or questionable about these graphs?

     Notes on Moodle
      Next Lecture - 2.3-2.4 Measures of Relative Standing and Boxplots

      Pre-read §2.3-2.4

      Wednesday, January 15, 2020

      1.3 and 2.2 Frequency Distributions and Histograms

      Comic of the Day
      Tip: Many a statistician has been lost in the search for this sweet spot

      Deadlines & Announcements
      Lab 0 Mobius questions due Fri Jan 17
      Chapter 1&2 assignments (Moodle) due Mon Feb 3
      Watch your rounding for the assignments.  Keep extra decimals for intermediate answers, then round your final answer only.
      Theory Exam (Chapter 1&2) in class Mon Feb 3
      Drop-in tutorials will run every Tue 12-12:50

      Today - 1.3 and 2.2 Frequency Distributions and Histograms
      Notes on Moodle
        Next Lecture - Lab 1 - Data Management and Calculations
        Video tutorial and instructions are posted, data will be emailed out individually

        Monday, January 13, 2020

        1.2-1.4 Sampling Methods, Experimental Design & Ethics

        Comic of the Day
        Tip: Ethical conduct is sometimes a moving target

        Deadlines & Announcements
        Wednesday's 8am lecture is now in CAT221
        Lab 0 Mobius questions due Fri Jan 17
        Chapter 1&2 assignments (Moodle) due Mon Feb 3
        Watch your rounding for the assignments.  Keep extra decimals for intermediate answers, then round your final answer only.
        Theory Exam (Chapter 1&2) in class Mon Feb 3
        Drop-in tutorials will tentatively run Tue 12-12:50 (TBC)

        Today - 1.2-1.4 Sampling Methods, Experimental Design & Ethics
        Notes from Moodle

        Warmup
        After reading the article "Is global warming still happening if it's really, really cold outside?  A scientific explainer on climate change"
        - what makes the author's arguments believable or not?
        - what "data" (i.e. numbers) are used to support the argument, and where do those numbers come from?
        - what does this have to do with a statistics class?

        Try to answer these questions through the lens of Critical Evaluation
        - sampling
        - bias
        - analysis

        Hawthorne Effect
        http://www.economist.com/node/12510632
        "Two groups of workers in the Hawthorne factory were used as guinea pigs. One day the lighting in the work area for one group was improved dramatically while the other group's lighting remained unchanged. The researchers were surprised to find that the productivity of the more highly illuminated workers increased much more than that of the control group.

        The employees' working conditions were changed in other ways too (their working hours, rest breaks and so on), and in all cases their productivity improved when a change was made. Indeed, their productivity even improved when the lights were dimmed again. By the time everything had been returned to the way it was before the changes had begun, productivity at the factory was at its highest level. Absenteeism had plummeted.

        The experimenters concluded that it was not the changes in physical conditions that were affecting the workers' productivity. Rather, it was the fact that someone was actually concerned about their workplace, and the opportunities this gave them to discuss changes before they took place."

        Instead of workplace productivity, think about how you might conduct a study or experiment about workplace safety:
        - what are the explanatory, response and lurking variables?
        - what are the treatments?
        - how could you assign treatment groups?  Control group?


        Next Lecture - 1.3 and 2.2 Frequency Distributions and Histograms
        Pre-read 1.3 and 2.2 in the textbook and watch this 6:07 primer video on Histograms
        https://www.khanacademy.org/math/pre-algebra/pre-algebra-math-reasoning/pre-algebra-picture-bar-graphs/v/histograms


        Thursday, January 9, 2020

        Lab 0 - Data Types and Validation

        Comic of the Day
        Tip: Avoid the dreaded xlsx.png.docx file format

        Deadlines
        Drop-In Tutorial Times (Moodle) vote by Fri Jan 10 at 1:00
        Assignment 0 - Getting to Know You (Moodle) due Fri Jan 10
        Chapter 1&2 assignments (Moodle) due Mon Feb 3
        Statistics Exam (Chapter 1&2) in class Mon Feb 3

        Today - Lab 0 - Data Types and Validation
        Automatic Date formats in Excel can be helpful or a pain in the genes


        Watch the video tutorial and answer the questions in Mobius.
        You do not have to submit the Excel file afterwards.

        Cells may contain text, formulas or numbers.  Numbers can be formatted as dates, decimals, currency, percentage, or more.


        Next Lecture - 1.2-1.4 Sampling Methods, Experimental Design & Ethics
        Preread section 1.2-1.4 in the textbook

        Wednesday, January 8, 2020

        1.1-1.2 Introduction to Statistics

        Comic of the Day

        Deadlines
        Drop-In Tutorial Times (Moodle) vote by Fri Jan 10 at 1:00
        Assignment 0 - Getting to Know You (Moodle) due Fri Jan 10
        Chapter 1&2 assignments (Moodle) due Mon Feb 3
        Statistics Exam (Chapter 1&2) in class Mon Feb 3

        Today - 1.1-1.2 Introduction to Statistics
        Lecture notes on Moodle
        For next lecture please read the following article on Moodle:
        "Is global warming still happening if it's really, really cold outside?  A scientific explainer on climate change"
        We will discuss these questions as a class, within the context of the Critical Evaluation skills we learn in:
        - what makes the author's arguments believable or not?
        - what "data" (i.e. numbers) are used to support the argument, and where do those numbers come from?
        - what does this have to do with a statistics class?

        Next Lecture - 1.2-1.4 Sampling Methods, Experimental Design & Ethics
        Preread section 1.2-1.4 in the textbook
        https://openstax.org/books/introductory-statistics/pages/1-2-data-sampling-and-variation-in-data-and-sampling

        Monday, January 6, 2020

        Welcome to STAT 1253!

        Comic of the Day

        Today - Introduction
        Welcome to STAT 1253 PowerPoint
        Handouts/Moodle
        • Tentative Lecture and Homework Schedule
        • Syllabus
        • Course Outline

        Homework
        "Lab 0 - Getting to Know You" questionnaire on Moodle
        "Drop-in tutorial times" vote on Moodle

        Next Lecture - 1.2-1.3 Intro to Statistics
        Pre-read (and maybe print) lecture notes for Chapter 1 and 2 (available on Moodle)