Business Analytics
3rd Edition
ISBN: 9780135231678
Author: Evans, James R. (james Robert)
Publisher: PEARSON EDUCATION (COLLEGE)
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Textbook Question
Chapter 3, Problem 1.1CYU
Explain the pros and cons of tabular versus visual data analysis.
Expert Solution & Answer
To determine
Describe the advantages and disadvantages of tabular versus visual data analysis.
Explanation of Solution
Tabular data analysis:
The tabular form of the data would help in identifying the exact or accurate values of required quantity. It helps in comparing the individual values of one group with another group.
The main disadvantage of using tabular form of data analysis is that, the table cannot exhibit the hidden trends or patterns in the data. It would not be an effective way of comparing each individual value in the data to determine the differences between two groups.
Visual data analysis:
The visualization of the data helps in providing a good communication with the data at all the levels of organizations. The graphs used for visualizing data would exhibit the underlying patterns in the datasets and helps to determine the relationships between the variables. This would help in making important decisions related to business. The data can be easily understood and interpreted through visualization techniques.
The main disadvantage of visual data analysis is that, an individual data value for a particular item or quantity cannot be identified using the graphs or pictures.
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Calculate the 90% confidence interval for the population mean difference using the data in the attached image. I need to see where I went wrong.
Microsoft Excel snapshot for random sampling: Also note the formula used for the last
column
02
x✓ fx =INDEX(5852:58551, RANK(C2, $C$2:$C$51))
A
B
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No.
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1
ALABAMA
Rand No.
0.925957526
3
2
ALASKA
0.372999976
4
3
ARIZONA
0.941323044
5
4 ARKANSAS
0.071266381
Random Sample
CALIFORNIA
NORTH CAROLINA
ARKANSAS
WASHINGTON
G7
Microsoft Excel snapshot for systematic sampling:
xfx INDEX(SD52:50551, F7)
A
B
E
F
G
1
No.
States
Rand No. Random Sample
population
50
2
1 ALABAMA
0.5296685 NEW HAMPSHIRE
sample
10
3
2 ALASKA
0.4493186 OKLAHOMA
k
5
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3 ARIZONA
0.707914 KANSAS
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4 ARKANSAS 0.4831379 NORTH DAKOTA
6
5 CALIFORNIA 0.7277162 INDIANA
Random Sample
Sample Name
7
6 COLORADO 0.5865002 MISSISSIPPI
8
7:ONNECTICU 0.7640596 ILLINOIS
9
8 DELAWARE 0.5783029 MISSOURI
525
10
15
INDIANA
MARYLAND
COLORADO
Chapter 3 Solutions
Business Analytics
Ch. 3 - Explain the pros and cons of tabular versus visual...Ch. 3 - How is data visualization used in descriptive,...Ch. 3 - Summarize the most useful charts available in...Ch. 3 - Prob. 2.2CYUCh. 3 - Prob. 2.3CYUCh. 3 - Prob. 2.4CYUCh. 3 - Prob. 3.1CYUCh. 3 - What is a heatmap, and what are some typical...Ch. 3 - Prob. 3.3CYUCh. 3 - Prob. 4.1CYU
Ch. 3 - Prob. 4.2CYUCh. 3 - Prob. 4.3CYUCh. 3 - Create clustered column and stacked column charts...Ch. 3 - Prob. 1.2PECh. 3 - Prob. 1.3PECh. 3 - Prob. 1.4PECh. 3 - Prob. 1.5PECh. 3 - Prob. 1.6PECh. 3 - Prob. 1.7PECh. 3 - Prob. 1.8PECh. 3 - Construct a column chart for the data in the Excel...Ch. 3 - The Excel file Internet Usage provides data about...Ch. 3 - Construct an appropriate chart to show the...Ch. 3 - Construct an appropriate chart or charts to...Ch. 3 - Prob. 1.13PECh. 3 - In the Excel file Banking Data, apply the...Ch. 3 - Prob. 1.15PECh. 3 - Prob. 1.16PECh. 3 - Prob. 1.17PECh. 3 - Prob. 1.18PECh. 3 - Create a useful dashboard for the data in the...Ch. 3 - Prob. 1.20PECh. 3 - Prob. 1.21PECh. 3 - Prob. 2.1PECh. 3 - Prob. 2.2PECh. 3 - Prob. 2.3PECh. 3 - Prob. 2.4PECh. 3 - Use PivotCharts to create a useful dashboard for...Ch. 3 - Prob. 2.6PECh. 3 - Prob. 2.7PECh. 3 - Prob. 2.8PECh. 3 - Use PivotCharts to create a useful dashboard for...
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