Descriptive Statistics: Textual & Graphical (pdf)

More documents

Recommendations

Info

Graph Basics • The graphs considered here are all two dimensional representations of data that could also be shown in a frequency distribution. • The typical graph consists of • A horizontal axis or x-axis which represents the variable being presented. This axis is referred to as the abscissa of the graph and sometimes as the category axis. This axis of the graph should be named and should show the categories or divisions of the variable being represented.
Graph Basics • A vertical axis or y-axis which is referred to as the ordinate or the value axis. In the graphs we will be considering the ordinate will show the frequency with which each category of the variable occurs. This axis should be labeled as frequency and also have a scale, the values of the scale being represented by tic marks. By convention the length of the ordinate is three-fourths the length of the abscissa. This is referred to as the three-fourths rule in graph construction.
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 and 10: Example, cont. • The data values
Page 11 and 12: Constructing a Frequency Distributi
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: Graphical Representation of Tabular
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)

Create successful ePaper yourself

Delete template?

Save as template?