MATH 1280 Introduction to Statistics – Discussion 3 – Part 1

Friday, June 28, 2019


Mural is one of Street arts 
An important practice is to check the validity of any data set that you analyze. One goal is to detect typos in the data, and another would be to detect faulty measurements.” 
Recall that outliers are observations with values outside the “normal” range of values of the rest of the observations.”
Specify a large population that you might want to study and describe the type numeric measurement that you will collect,” few examples: 
- A count of things
- The height of people  
- A score on a survey
- The weight of something

What would you do if you found a couple outliers in a sample of size 100?” 
What would you do if you found two values that were twice as big as the next highest value?”


Illustration of a street art
You may use examples from your area of interest, such as”:
- Monthly sales levels of a product
- File transfer times to different computer on a network
- Characteristics of people “(height, time to run the 100 meter dash, statistics grades, etc.)”
- Trading volume on a stock exchange
- Other such things.

There is no requirement to use sources from the Internet, but if you use an idea or a quotation from any source, it should be cited.

The citation includes: 
- Putting the author and year at the end of the sentence
- and then adding a reference at the end to describe the source.


# To be continued at part 2

24 comments:

  1. Oh man. Math and Stats. Two of my least favorite subjects.

    ReplyDelete
    Replies
    1. Thank you to visit:
      MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      @
      Murat is one of Street arts

      Delete
    2. MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      -
      “An important practice is to check the validity of any data set that you analyze. One goal is to detect typos in the data, and another would be to detect faulty measurements.”

      Delete
    3. MATH 1280 Introduction to Statistics – Discussion 3 – Part 1

      Delete
  2. Nice post :)
    Have a beautiful day :)

    ReplyDelete
    Replies
    1. Thank you to visit:
      MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      @
      “An important practice is to check the validity of any data set that you analyze. One goal is to detect typos in the data, and another would be to detect faulty measurements.”

      Delete
    2. MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      -
      “Recall that outliers are observations with values outside the “normal” range of values of the rest of the observations.”

      Delete
    3. MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      @

      Delete
  3. Good post 😊 thanks for your sharing 😊

    ReplyDelete
    Replies
    1. Thank you to visit:
      MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      @
      “Recall that outliers are observations with values outside the “normal” range of values of the rest of the observations.

      Delete
    2. MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      -
      “Specify a large population that you might want to study and describe the type numeric measurement that you will collect,” few examples:
      - A count of things
      - The height of people
      - A score on a survey
      - The weight of something

      Delete
  4. Replies
    1. Thank you to visit:
      MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      @
      “Specify a large population that you might want to study and describe the type numeric measurement that you will collect,” few examples:
      - A count of things
      - The height of people
      - A score on a survey
      - The weight of something

      Delete
    2. MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      -
      “What would you do if you found a couple outliers in a sample of size 100?”

      Delete
    3. MATH 1280 Introduction to Statistics – Discussion 3 – Part 1

      Delete
  5. Replies
    1. Thank you to visit:
      MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      @
      “What would you do if you found a couple outliers in a sample of size 100?”
      “What would you do if you found two values that were twice as big as the next highest value?”

      Delete
    2. MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      -
      “What would you do if you found two values that were twice as big as the next highest value?”

      Delete
  6. Math. Yikes. Statistics. Double yikes.

    ReplyDelete
    Replies
    1. Thank you to visit:
      MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      @
      Illustration of a street art
      “You may use examples from your area of interest, such as”:
      - Monthly sales levels of a product

      - File transfer times to different computer on a network
      - Characteristics of people “(height, time to run the 100 meter dash, statistics grades, etc.)”
      - Trading volume on a stock exchange
      - Other such things.

      Delete
    2. MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      -
      “What would you do if you found two values that were twice as big as the next highest value?”

      Delete
  7. I'm not really into maths (sorry) but that street art is amazing! Such skilled artists.

    ReplyDelete
    Replies
    1. Thank you to visit:
      MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      @
      There is no requirement to use sources from the Internet, but if you use an idea or a quotation from any source, it should be cited.

      The citation includes:
      - Putting the author and year at the end of the sentence
      - and then adding a reference at the end to describe the source.


      # To be continued at part 2

      Delete
    2. MATH 1280 Introduction to Statistics – Discussion 3 – Part 1
      -
      “You may use examples from your area of interest, such as”:
      - Monthly sales levels of a product
      - File transfer times to different computer on a network
      - Characteristics of people “(height, time to run the 100 meter dash, statistics grades, etc.)”
      - Trading volume on a stock exchange
      - Other such things.

      Delete