PRACTICE OF STATS - 1 TERM ACCESS CODE
4th Edition
ISBN: 9781319403348
Author: BALDI
Publisher: Macmillan Higher Education
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Chapter 3, Problem 3.8AYK
a.
To determine
To construct: The
b.
To determine
To find: The
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What were the average sales for the four weeks prior to the experiment?
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At a 95% significance level, was the difference significant? Explain why or why not using the results from the paired sample t-test.
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A retail chain is interested in determining whether a digital video point-of-purchase (POP) display would stimulate higher sales for a brand advertised compared to the standard cardboard point-of-purchase display. To test this, a one-shot static group design experiment was conducted over a four-week period in 100 different stores. Fifty stores were randomly assigned to the control treatment (standard display) and the other 50 stores were randomly assigned to the experimental treatment (digital display). Compare the sales of the control group (standard POP) to the experimental group (digital POP).
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Question 4
An article in Quality Progress (May 2011, pp. 42-48) describes the use of factorial experiments to improve a
silver powder production process. This product is used in conductive pastes to manufacture a wide variety of
products ranging from silicon wafers to elastic membrane switches. Powder density (g/cm²) and surface area
(cm/g) are the two critical characteristics of this product. The experiments involved three factors: reaction
temperature, ammonium percentage, stirring rate. Each of these factors had two levels, and the design was
replicated twice. The design is shown in Table 3.
A222222222222233
Stir Rate
(RPM)
Ammonium
(%)
Table 3: Silver Powder Experiment from Exercise 13.23
Temperature
(°C)
Density
Surface Area
100
8
14.68
0.40
100
8
15.18
0.43
30
100
8
15.12
0.42
30
100
17.48
0.41
150
7.54
0.69
150
8
6.66
0.67
30
150
8
12.46
0.52
30
150
8
12.62
0.36
100
40
10.95
0.58
100
40
17.68
0.43
30
100
40
12.65
0.57
30
100
40
15.96
0.54
150
40
8.03
0.68
150
40
8.84
0.75
30
150…
Chapter 3 Solutions
PRACTICE OF STATS - 1 TERM ACCESS CODE
Ch. 3 - Prob. 3.1AYKCh. 3 - Prob. 3.2AYKCh. 3 - Prob. 3.3AYKCh. 3 - Prob. 3.4AYKCh. 3 - Prob. 3.5AYKCh. 3 - Prob. 3.6AYKCh. 3 - Prob. 3.7AYKCh. 3 - Prob. 3.8AYKCh. 3 - Prob. 3.9AYKCh. 3 - Prob. 3.10AYK
Ch. 3 - Prob. 3.11CYSCh. 3 - Prob. 3.12CYSCh. 3 - Prob. 3.13CYSCh. 3 - Prob. 3.14CYSCh. 3 - Prob. 3.15CYSCh. 3 - Prob. 3.16CYSCh. 3 - Prob. 3.17CYSCh. 3 - Prob. 3.18CYSCh. 3 - Prob. 3.19CYSCh. 3 - Prob. 3.20CYSCh. 3 - Prob. 3.21ECh. 3 - Prob. 3.22ECh. 3 - Prob. 3.23ECh. 3 - Prob. 3.24ECh. 3 - Prob. 3.25ECh. 3 - Prob. 3.26ECh. 3 - Prob. 3.27ECh. 3 - Prob. 3.28ECh. 3 - Prob. 3.29ECh. 3 - Prob. 3.30ECh. 3 - Prob. 3.31ECh. 3 - Prob. 3.32ECh. 3 - Prob. 3.33ECh. 3 - Prob. 3.34ECh. 3 - Prob. 3.35ECh. 3 - Prob. 3.36ECh. 3 - Prob. 3.37E
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