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Descriptive Statistics

Descriptive Statistics. Method of collecting, organizing, displaying, and drawing conclusion of data. Collecting and Organizing. Organizing/Processing, Calculating DATA measured (mm scale) (collect) Variables Numerical Categorical

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Descriptive Statistics

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  1. Descriptive Statistics Method of collecting, organizing, displaying, and drawing conclusion of data

  2. Collecting and Organizing Organizing/Processing, Calculating DATA measured (mm scale) (collect) Variables Numerical Categorical Continuous Discrete Dichotomous Polychotomous Interval Ratio scale Nominal Ordinal scale

  3. DATA SUMMARY (calculation) • Mean - • Median – middle most (50% are higher and 50% are lower) • Mode – most repeated • Measure of Variability • Range = Mx-Mn • Variance s2= • SD • Proportion

  4. DATA PRESENTATION (displaying) • Table (number, title, column and raw labels, body of data, total, source) – self explain. • Graph: • line graph – numerical variables • Scatter – numerical variables • bar graph – categorical variables • Histogram – continuous variables • pie graph – proportion of a whole with a few elements, categorical variables

  5. Descriptive Statistics

  6. Match Variables • Hemoglobin • Level of anemia: normal, mild, severe • Smoking: yes, no • Pulse rate per minute Type a. Quantitative discrete b. Qualitative dichotomous c. Qualitative polychotomous d. Quantitative continuous

  7. Match Variables • Hemoglobin • Level of anemia: normal, mild, severe • Smoking: yes, no • Pulse rate per minute Scale of measurement a. Ratio b. Interval c. Nominal d. Ordinal

  8. Table Table 2. Number of FETP students distributed by sex and nationality, Thailand, 2006 * BRN: Brunei, CAM: Cambodia, CHN: China, LPDR: Lao People Democratic Republic, THL: Thailand, VN: Vietnam Table. Number of FETP students distributed by sex and nationality, 2006 Source: Dara et al

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