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Descriptive Statistics, Part Two

Descriptive Statistics, Part Two. Farrokh Alemi, Ph.D. Kashif Haqqi, M.D. Objectives Frequency distribution Categorical Ungrouped Grouped. Histogram Cumulative frequency Pie chart Bar chart. Table of Content. Objectives.

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Descriptive Statistics, Part Two

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  1. Descriptive Statistics, Part Two Farrokh Alemi, Ph.D. Kashif Haqqi, M.D.

  2. Objectives Frequency distribution Categorical Ungrouped Grouped Histogram Cumulative frequency Pie chart Bar chart Table of Content

  3. Objectives • Given a set of nominal or ordinal data, interpret its frequency distribution, pie chart, and bar chart. • Given a set of numerical data, interpret its frequency distribution, cumulative frequency distribution, and histogram. • Given a set of numerical data, interpret the meaning of its range, variance, standard deviation, and coefficient of variation. Return to Table of Contents

  4. Organizing Data • Data when collected in original form is called “raw data”. • For example:

  5. Frequency Distribution • The researches organizes the raw data by using frequency distribution. • The frequency is the number of values in a specific class of data. • A frequency distribution is the organizing of raw data in table form, using classes and frequencies. Return to Table of Contents

  6. Frequency Distribution Cont. • For the first data set, a frequency distribution is shown as follow:

  7. Types of Frequency Distribution • There are three basic types of frequency distribution: • Categorical • Ungrouped • Grouped Return to Table of Contents

  8. Categorical Frequency Distribution • The categorical frequency distribution is used for data that can be placed in specific categories, such as nominal or ordinal data. • For example, data such as political affiliations, religion affiliations, or major field of study would use categorical frequency distribution. Return to Table of Contents

  9. Example • The blood type of different students:

  10. Example Cont.

  11. Ungrouped Frequency Distribution • When the range of data is small, the data must be grouped into classes that are not more than one unit in width. Return to Table of Contents

  12. Example • The range in the example is R=highest value – lowest value : 11 – 4 = 7 • Since the range is small classes consisting of single data value can be used.

  13. Example Cont.

  14. Grouped Frequency Distribution • When the range of the data is large, the data must be grouped into classes that are more than one unit in width. Return to Table of Contents

  15. Example

  16. Example Cont. • In this distribution, the values 1 and 3 of the first class are called “class limits”. • 1 is the “lower class limit” and 3 is the “upper class limit.”

  17. Histogram • The histogram is a graph that displays the data by using vertical bars of various heights to represent the frequencies. Return to Table of Contents

  18. Histogram in Excel (Steps) • Open the tools menu, choose the data analysis command and chose histogram from the analysis tools list box. • Input range: enter the reference for the range of cells containing the data. • Bin range: enter the reference of cells containing the values that separate the intervals, including the labels. (They must be in ascending order).

  19. Steps Continued • Labels: check this box to indicate that labels have been included in the references for the input range and bin range. • Out put range: enter the reference for the cell you want out put to appear. • Chart output: check this option to obtain a histogram chart in addition to the frequency distribution table on the worksheet.

  20. Create a histogram for the following data:5, 6, 4, 7, 5, 9, 11, 12, 4, 5, 6, 7, 9, 19 Do this in Excel

  21. Cumulative Frequency • The cumulative frequency is the sum of the frequencies accumulated up to the upper boundary of a class in the distribution. • They are used to visually represent how many values are below a certain upper class boundary. Return to Table of Contents

  22. Example of Cumulative Frequency Distribution

  23. Pie Chart • A pie chart is a circle that is divided into sections according to the percentage of frequencies in each category of the distribution. Return to Table of Contents

  24. Example

  25. Example Cont.

  26. Bar Chart • A bar chart is a broader concept than histogram. • A bar chart may be used to display concepts other than frequency of an observations. For example, a bar chart may display the average exam results. • Histogram is a bar chart of frequency distribution. Return to start

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