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?

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

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

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

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

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.

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

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

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

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.

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

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 214 Boston 165 Chicago 211 Cleveland 136 Detroit 163 Kansas City 131 Los Angeles 187 Minnesota 131 New York 245 Oakland 195 Seattle 149 New York hit about 1.5 times as many home runs as Detroit hit 245 163 ≈1.503

Homework Section 1.2, Pages 13 – 14, #’s 1 - 22