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Statistics - Descriptive statistics

Statistics - Descriptive statistics. 2013/ 09/ 23. Data and statistics. Statistics is the art of collecting, analyzing, presenting, and interpreting data. Application (Marketing, …) Data are the facts and figures collected, analyzed, and summarized for presentation and interpretation.

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Statistics - Descriptive statistics

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  1. Statistics-Descriptive statistics 2013/09/23

  2. Data and statistics • Statistics is the art of collecting, analyzing, presenting, and interpreting data. • Application (Marketing, …) • Data are the facts and figures collected, analyzed, and summarized for presentation and interpretation. • P5. Table 1.1

  3. Data and statistics • Data collection requires one of the following scales of measurement: • Nominal • Ordinal • Interval • Ratio • Data can also be classified as: • Qualitative • Quantitative

  4. Data and statistics • Descriptive statistics: • Data are often summarized and presented in a form that is easy to understand. Such summaries of data, which may be tabular, graphical, or numerical, are referred to as descriptive statistics. • Statistical inference: • Statistics uses data from a sample to make estimates and test hypotheses about the characteristics of a population through a process referred to as statistical inference.

  5. Descriptive statistics • Summarizing qualitative data • Tabular methods • Frequency distribution(P28. Table 2.1 & P29. Table 2.2) • Relative frequency distribution (P29. Table 2.2 & Table 2.3) • Percent frequency distribution (P29. Table 2.2 & Table 2.3) • Graphical methods • Bar graph (P29. Table 2.2 & P30. Figure 2.1) • Pie Chart (P29. Table 2.3 & P30. Figure 2.2)

  6. Descriptive statistics • Summarizing quantitative data • Tabular methods • Frequency distribution (P34. Table 2.4 & P35. Table 2.5) • Relative frequency distribution (P34. Table 2.4 & P36. Table 2.6) • Percent frequency distribution (P34. Table 2.4 & P36. Table 2.6) • Cumulative frequency distribution (P34. Table 2.4 & P38. Table 2.7) • Cumulative relative frequency distribution (P34. Table 2.4 & P38. Table 2.7) • Cumulative percent frequency distribution(P34. Table 2.4 & P38. Table 2.7)

  7. Descriptive statistics • Summarizing quantitative data • Graphical methods • Dot plot (P36. Figure 2.3) • Histogram (P37. Figure 2.4) • Ogive (P39. Figure 2.6) • Stem-and-leaf display (P44. Table 2.8) • Scatter diagram (P52. Table 2.12)

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