Descriptive Statistics: Textual & Graphical (pdf)

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Some definitions • Variable - Trait or characteristic on which the classification is based (# of arrests per officer) • Class – One of the grouped categories of the variable • Class Boundaries – lowest and highest values that within the class • Class Midpoints – point halfway between class boundaries • Class Interval – distance between upper limit of one class and the upper limit of the next class • Class Frequency – number of occurrences of the variable within a given class • Total Frequency – total # of cases in the table
Constructing a Frequency Distribution • Identify the highest and lowest values in the data set. • Create a column with the title of the variable you are using. Enter the highest score at the top, and include all values within the range from the highest score to the lowest score. • Create a tally column to keep track of the scores as you enter them into the frequency distribution. Once the frequency distribution is completed you can omit this column. Most printed frequency distributions do not retain the tally column in their final form. • Create a frequency column, with the frequency of each value, as show in the tally column, recorded. • At the bottom of the frequency column record the total frequency for the distribution proceeded by N = • Enter the name of the frequency distribution at the top of the table.
Page 1 and 2: Descriptive Statistics: Textual and
Page 3 and 4: Descriptive Statistics • Descript
Page 5 and 6: Example Number of Tons of Trash col
Page 7 and 8: Frequency Distributions • The mos
Page 9: Example, cont. • The data values
Page 13 and 14: Grouped Frequency Distributions •
Page 15 and 16: Grouped Frequency Distribution •
Page 17 and 18: Percentage Distributions • Suppos
Page 19 and 20: Must convert to compare • Easiest
Page 21 and 22: Cumulative Frequency Distributions
Page 23 and 24: In-Class Task • The fire chief of
Page 25 and 26: Solution Response Time Response Tim
Page 27 and 28: Bad Table - What’s wrong? Percept
Page 29 and 30: Simplicity vs. Detail • In making
Page 31 and 32: Feature 2 - Divides the data in a w
Page 33 and 34: Feature 5 - Clear Percentages Grade
Page 35 and 36: Graphical Representation of Tabular
Page 37 and 38: Graph Basics • A vertical axis or
Page 39 and 40: The Bar Graph • A bar graph’s b
Page 41 and 42: Bar Graph Example • Next, the tea
Page 43 and 44: The Histogram • A histogram is si
Page 45 and 46: Clinic Example • To organize thei
Page 47 and 48: Clinic Example • Next, to create
Page 49 and 50: The Frequency Polygon (Line Graph)
Page 51 and 52: Clinic Example • Next, they decid
Page 53 and 54: Pie Chart • A pie chart is a very
Page 55 and 56: Task • Using the majors frequency

Descriptive Statistics: Textual & Graphical (pdf)

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