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Displaying Descriptive Statistics: Tables and Graphs in Business Statistics

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Displaying Descriptive Statistics

Introduction

Descriptive statistics are essential tools in business statistics for summarizing, organizing, and presenting data in a meaningful way. This chapter focuses on methods for displaying both quantitative and qualitative data using tables and graphical representations. Mastery of these techniques enables effective communication of data-driven insights in business contexts.

Displaying Quantitative Data

Frequency Distributions

A frequency distribution is a table that shows the number of data observations that fall into specific intervals or classes. It helps to organize raw data into a more interpretable format.

  • Class: A range or single value into which data are grouped.

  • Frequency: The number of observations in each class.

Example: Number of iPads sold per day over 50 days.

# Sold Per Day

Frequency

0

5

1

8

2

14

3

13

4

6

5

4

Relative and Cumulative Frequency Distributions

  • Relative Frequency: The proportion of observations in each class, calculated as .

  • Cumulative Relative Frequency: The sum of relative frequencies for all classes up to and including the current class.

# Sold Per Day

Frequency

Relative Frequency

Cumulative Relative Frequency

0

5

0.10

0.10

1

8

0.16

0.26

2

14

0.28

0.54

3

13

0.26

0.80

4

6

0.12

0.92

5

4

0.08

1.00

Histograms

A histogram is a bar graph that displays the frequency or relative frequency of quantitative data grouped into classes. The height of each bar represents the frequency of the class.

Symmetric histogram

  • Histograms help visualize the distribution shape (e.g., symmetric, skewed, bimodal).

Polygons and Ogives

  • Polygon: A line graph connecting the midpoints of each class at heights corresponding to their frequencies.

  • Ogive: A line graph of cumulative frequencies, useful for determining the proportion of observations below a certain value.

Stem-and-Leaf Displays

A stem-and-leaf display splits each data value into a "stem" (leading digit(s)) and a "leaf" (trailing digit), preserving the original data while showing distribution shape.

  • All data values are represented, unlike in a histogram.

Scatter Plots and Line Charts

  • Scatter Plot: Displays the relationship between two quantitative variables. The independent variable is plotted on the x-axis, and the dependent variable on the y-axis.

  • Line Chart: Connects data points with lines, often used to show trends over time.

Displaying Qualitative Data

Frequency Distributions for Qualitative Data

Qualitative data can be summarized using frequency, relative frequency, and cumulative relative frequency tables.

Grade

Frequency

Relative Frequency

Cumulative Relative Frequency

A

7

0.233

0.233

B

14

0.457

0.700

C

6

0.200

0.900

D

1

0.033

0.933

F

2

0.067

1.000

Bar Charts

Bar charts are used to display the frequency or relative frequency of qualitative data. Bars can be arranged vertically or horizontally.

Vertical bar chart

  • Bar charts are ideal for comparing categories.

Pareto Charts

A Pareto chart is a special bar chart where categories are ordered by frequency, often used in quality control to identify the most significant factors.

Pie Charts

Pie charts display the proportion of each category as a slice of a circle, making it easy to compare parts to the whole.

Pie chart of grades

  • Each slice represents a category's percentage of the total.

Contingency Tables

Contingency tables (cross-tabulations) display the frequency distribution of two qualitative variables simultaneously, showing the relationship between them.

Payment/Gender

Female

Male

Total

Cash

2

5

7

Credit

7

2

9

Debit

3

1

4

Total

12

8

20

Using Excel for Descriptive Statistics

Activating the Data Analysis ToolPak

Microsoft Excel provides built-in tools for statistical analysis and data presentation. To access these, you may need to activate the Analysis ToolPak add-in.

  1. Open Excel and click the File tab. Excel main window

  2. Click Options to open the Excel Options dialog box. Excel Options menu

  3. Select Add-Ins in the left margin. Add-Ins selection

  4. Click Go at the bottom of the screen, check Analysis ToolPak and Analysis ToolPak - VBA, then click OK. Add-Ins dialog

  5. Go to the Data tab and click Data Analysis. Data Analysis in Excel

Constructing Frequency Tables and Histograms in Excel

  • Enter your data and bin values in the worksheet. Excel data entry for frequency table

  • Use the FREQUENCY function to calculate frequencies. Excel FREQUENCY function

  • To create a histogram, select Data Analysis → Histogram. Excel Data Analysis Histogram

  • Specify the input and bin ranges, and select output options. Excel Histogram options

  • Customize the resulting histogram as needed. Excel histogram chart

Summary Table: Descriptive Statistics Tools

Statistics Tool

Variable Type

Main Objective

Frequency Tables

Quantitative, Qualitative

Shows frequency, relative frequency, and cumulative relative frequency

Histogram

Quantitative

Shows frequency and distribution shape

Scatter Plot

Quantitative

Shows relationship between two variables

Line Chart

Quantitative

Shows change over time

Bar Chart

Qualitative

Compares counts or percentages

Pie Chart

Qualitative

Compares parts to the whole

Pivot Table

Qualitative

Shows breakdown of values by another variable

Additional info: These tools are foundational for further topics in business statistics, such as probability distributions, hypothesis testing, and regression analysis.

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