1,教学方法：课堂讲授：课堂练习。 2.教学手段：多媒体教学。 Chapter 2 Tabular and Graphical Methods (一)目的与要求 1.Organize raw data into a frequency distribution 2.Preset data using such common graphic techniques as line charts,bar charts,and pie charts 3. Portray the frequency distribution in a histogram,a frequency polygon,ora cumulative frequency polygon. 3.Develop a stem-and-leaf display 4.Construct and interpret a scatterplot (二)教学内容 Section1.Summarizing Qualitative Data 1.主要内容 Frequency distribution for qualitative data Frequency distribution a grouping of data into categories showing the number of observations in each mutually exclusive category TABLE 2.2 Seattle Weathe ay2010 Sunday Monday hursday Friday Saturday Rainy Rainy Rainy Rainy Rainy Rainy Cloudy回Rainy Rainy Rainy Rainy 2 Sunny Rainy Rainy Rainy Rainy Sunn Calculating relative and percent frequencies Weather Frequeney Relative Relative Cloudy 1/28-0.036 0.097 Rainy 20 20/28-0.714 0.581 Sunny 7/28-0.250 0.323 Total=1 Total=1 Picturing frequency distribution for qualitative data:pie charts,bar charts5 1．教学方法：课堂讲授；课堂练习。 2．教学手段：多媒体教学。 Chapter 2 Tabular and Graphical Methods （一）目的与要求 1. Organize raw data into a frequency distribution 2. Preset data using such common graphic techniques as line charts, bar charts, and pie charts 3. Portray the frequency distribution in a histogram, a frequency polygon, or a cumulative frequency polygon. 3. Develop a stem-and-leaf display 4. Construct and interpret a scatterplot （二）教学内容 Section1. Summarizing Qualitative Data 1.主要内容 Frequency distribution for qualitative data Frequency distribution：a grouping of data into categories showing the number of observations in each mutually exclusive category. Calculating relative and percent frequencies Picturing frequency distribution for qualitative data: pie charts, bar charts