1. Do Now and Example for Notebook
In a recent study, volunteers who had 8 hours of sleep were three times more likely to answer questions correctly on a math test than were sleep-deprived participants. Is this an example of a population parameter or a sample statistic?

2. Section 1.1 Classwork/Homework Page 6 – 7, #’s 1 - 32
Make sure that you review all your definitions from 1.1 and 1.2

3. 1.) Distinquish between qualitative and quantitative data
1.2 - Data Classification
Objectives
1.) Distinquish between qualitative and quantitative data
2.) Classify data

4. Types of Data
Qualitative Data – consist of attributes, labels or nonnumerical entries.
Quantitative Data – consist of numerical measurements or counts

5. Classifying Data by Type
Qualitative
Two data sets
Quantitative
Model
Suggested retail price
Accord Sedan
$21,680
Civic Hybrid
$24,200
Civic Sedan
$18,165
Crosstour
$27,230
CR-V
$22,795
Fit
$15,425
Odyssey
$28,675
Pilot
$29,520
Ridgeline
$29,450

6. Levels of Measurement
Nominal Level of Measurement – Data that are only qualitative. Data using Names, Labels, or qualities. No mathematical computations can be made.
Ordinal Level of Measurement – Data that are qualitative or quantitative. Data can be arranged in order, or ranked, but differences between data entries do not have mathematical meaning.

7. Example of Nominal Data
Movie Genres
Action
Adventure
Comedy
Drama
Horror
Qualitative
No mathematical computations can be made
Names are not being ranked

8. Ordinal Level of Measurement
Top Five Grossing Movies of 2012
1.) Marvel’s The Avengers
2.) The Dark Knight Rises
3.) The Hunger Games
4.) Skyfall
5.) The Twilight Saga: Breaking Dawn, Part 2
Data consists of ranks
Ranks can be listed in order
Ranks between 1 and 5 has no mathematical meaning

9. Levels of Measurement
Interval Level of Measurement – Data that can be ordered, and meaningful differences between data entries can be calculated.

10. Levels of Measurement
Ratio Level of Measurement – Data are similar to data at the interval level. A ratio of two data entries can be formed so that one data entry can be meaningfully expressed as a multiple of another.

11. World Series victory (years)
Example of Interval
New York Yankees’
World Series victory (years)
1923, 1927, 1928, 1932, 1936, 1937,
1938, 1939, 1941, 1943, 1947, 1949,
1950, 1951, 1952, 1953, 1956, 1958,
1961, 1962, 1977, 1978, 1996, 1998,
1999, 2000, 2009
The data is quantitative
Can find differences between the years
Can not write ratios the numbers given

12. Home run totals (by team)
Example of Ratio
Quantitative Data
Can find differences
Can write ratios
2012 American League
Home run totals (by team)
Baltimore
Boston
Chicago
Cleveland
Detroit
Kansas City
Los Angeles
Minnesota
New York
Oakland
Seattle
New York hit about 1.5 times as many home runs as Detroit hit
≈1.503

13. Homework
Section 1.2, Pages 13 – 14, #’s