Reading Assignment #2
Due Tuesday, September 3rd
Textbook Reading: Chapter 2, pages 18-30
Optional video:
Month: August 2013
Due Tuesday, September 3rd
Textbook Reading: Chapter 2, pages 18-30
Optional video:
Your first exercise is described below. This exercise is due before class on Tues, Sep 3rd. In-class time will be allocated, time permitting, to begin the assignment on Thu, Aug 29.
Please prepare your answers to the exercise questions using Microsoft Word or the equivalent and submit via email to [email protected] with the Word (.doc or .docx) file or a PDF version attached.
If you have trouble answering the questions you might want to read the Case Study about DiGiorno Pizza and the Case Solution. Here’s a link to download the Case Solution: ch01-CaseSolutions. Note that this Case Study is not required material for this exercise; I mention it and include the solutions here simply as a an example that you may find useful for completing the exercise.
For class on Thursday, August 29th
I will present these PowerPoint slides covering key material in Chapter 1. Click here to download the slides: ch01 [I may a few edits that can be found here: ch01-jh]
Here’s a link to a YouTube video (6 min) that we will watch in class. The woman narrating the video is from New Zealand so she may be difficult for some to understand. But, hopefully it will be helpful to hear about the same topic presented another way.
There were a couple of helpful questions and answers on the YouTube page
Q1. But what is the difference between interval and ratio data or scale?? In my book they are given separately and i m not able to comprehend the difference between the two 🙁
A1. The difference isn’t usually relevant in statistics, so I didn’t confuse things by adding that level. Ratio data has a meaningful zero value, and ratios of numbers make sense. For example temperature is interval data as the difference between 30 degrees and 40 degrees is the same as the difference between 40 degrees and 50 degrees. However it is not meaningful to say that 40 degrees is twice as hot as 20 degrees. So temperature is not ratio data. Length in mm, is ratio data. 20mm is twice 10mm.
Q2. So basically it’s like this. Nominal data is numbers given to stuff like name Kevin=1 Women=2 but it does not imply order (such as I’m above women). Ordinal data does imply order but the intervals (amount) between the order may not be equal. Interval/Ratio/Scale data is quantitative of the data and gives mean, median, and standard deviation. Correct?
A2. Yup – you got it. Nominal doesn’t always have numbers assigned. It is often left as text.
Today is the first day of class for me. I will be teaching “Inferential Statistics and Problem Solving” in the Hasan School of Business at Colorado State University, Pueblo. I’m really excited about it actually. If you’re interested in the subject matter (I mean who wouldn’t be interested in inferential statistics?), feel free to follow along as I will be posting assignments, resources, information, commentary, etc on a course blog page that I’ve set up.
Here’s the link: http://busad265.wordpress.com/
If you’re an academic type and have come across good resources for teaching in general, teaching statistics specifically, testing, grading, etc. Leave me a comment below.
Here’s to a great semester!
Due Thursday, August 29th
Textbook Reading: Chapter 1, pages 1-16
Optional video (registration on the publisher website is required): http://www.wiley.com/college/black/0470931469/kbvidtutorials/Black_7e_Video_Ch01/simulations/videos/asset.index.htm
Please follow this link and complete the survey: https://www.surveymonkey.com/s/HTTCXWV
Also, answer this quick poll:
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Welcome to Inferential Statistics and Problem Solving! I’ve attached the course syllabus here: BUSAD 265 Fall 2013 Holman