Friday, March 20, 2009

March 21, 2009 - Case Study #2, 80's Hair Bands! Class Activity

The following table lists the top five music bands according to the box office ranks and the ticket
prices for their concerts as on July 23, this year.
Ranks Data Set #1 Data Set #2
Band Average Ticket Price
1 The Eagles $104
2 Dave Matthews Band $85
3 The Dixie Chicks $68
4 Fleetwood Mac $60
5 Cher $42
Questions:
1. Identify the level of measurement for the first data set—or the top five bands.
2. Identify the level of measurement for the second data set.

16 comments:

  1. 1.) The level of measurement used for the first data set- or the top five bands is qualitative.
    2.) The level of measurement used for the second data set is quantitative.

    ReplyDelete
  2. 1. The level of measurement for data #1 is qualitative.

    2. The level of measurement for data #2 is quantitative.

    ReplyDelete
  3. 1) Populatiry is a factor, which would be considered qualitative. There would be other factors of course envolved as well.
    2) Given that the 2nd data set involves numbers that would be quantitative.

    ReplyDelete
  4. 1. The names of the bands are at the nominal level of measurement because no real mathematical computation can be performed in the scope of this study.
    2. The ticket prices are at the ordinal level of measurement because it is the basis of the ranking.

    ReplyDelete
  5. 1. Interval level measurement (quantitative data).
    2. Nominal level measurement (qualitative data).

    ReplyDelete
  6. Evan D.
    1. The level of measurement for this first quantitative one would be nominal due to the fact that there were no mathematical computations made at this level because it's just a name.
    2. The level of measurement for the qualitative data set 2 would be ordinal because there is meaning between the entries.

    ReplyDelete
  7. Clarification:
    Interval level is for the prices and Nominal is for the band ordering (ugh)! Misread the question.

    ReplyDelete
  8. John Drake

    1. data set 1 is nominal
    2. data set 2 is integrel

    ReplyDelete
  9. Tonya Cox


    1. Nominal Level/with Qualitative Data


    2. Interval Level/with Quantitative Data

    ReplyDelete
  10. 1. The first data set has a nominal level of measurement. No calculation can be done at this level. It is categorized using names i.e. the name of the bands.

    2. The second data set has an interval level of measurement because it can be ordered and can be calculated to display a meaningful difference between them.

    ReplyDelete
  11. 1. Data set one consists of titles of bands which are not quantitative. I would consider them in a nominal level of measurement since we are only dealing with names, and or labels.

    2. The second data set consists of quantitative data that represents a price per ticket. I would arrange these in an interval level of measurement since we can put them into an order based on who is selling more tickets than the other band.

    ReplyDelete
  12. 1. The first data set consists of attributes, labels, or non-numerical entries and therefore is Qualitative. As well you could measure the levels by nominal level of measurement. The measurements could also be ordinal.

    2. Interval level or ratio level because of average ticket prices. This is also quantitative.

    ReplyDelete
  13. 1. Nominal: Data is put into categories

    2. Ordinal: Data is put into categories and data is arranged in order.

    ReplyDelete
  14. Mel Bailey

    1. Identify the level of measurement for the first data set—or the top five bands.
    Nominal can put into categories.
    2. Identify the level of measurement for the second data set. prices
    Interval put into categories, arrange data in order, subtract data values.

    ReplyDelete
  15. Rick O'Neil
    1. qualitative.
    2. quantitative.

    ReplyDelete