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A mail-order catalog firm designed a factorial experiment to test the effect of the size of a magazine advertisement and the advertisement design on the number of catalog requests received (data in thousands). Three advertising designs and two different-size advertisements were considered. The data obtained follow. Size of Advertisement Small Large 13 11 22 26 Design B 14 30 11 17 19 13 Use the ANOVA procedure for factorial designs to test for any significant effects due to type of design, size of advertisement, or interaction. Use a = 0.05. Find the value of the test statistic for type of design. (Round your answer to two decimal places.) Find the p-value for type of design. (Round your answer to three decimal places.) p-value = State your conclusion about type of design. O Because the p-value > a = 0.05, type of design significant. O Because the p-value s a = 0.05, type of design is significant. O Because the p-value > a = 0.05, type of design is not significant. O Because the p-value sa = 0.05, type of design is not significant. Find the value of the test statistic for size of advertisement. (Round your answer to two decimal places.) Find the p-value for size of advertisement. (Round your answer to three decimal places.) p-value=

A mail-order catalog firm designed a factorial experiment to test the effect of the size of a magazine advertisement and the advertisement design on the number of catalog requests received (data in thousands). Three advertising designs and two different-size advertisements were considered. The data obtained follow. Size of Advertisement Small Large 13 11 22 26 Design B 14 30 11 17 19 13 Use the ANOVA procedure for factorial designs to test for any significant effects due to type of design, size of advertisement, or interaction. Use a = 0.05. Find the value of the test statistic for type of design. (Round your answer to two decimal places.) Find the p-value for type of design. (Round your answer to three decimal places.) p-value = State your conclusion about type of design. O Because the p-value > a = 0.05, type of design significant. O Because the p-value s a = 0.05, type of design is significant. O Because the p-value > a = 0.05, type of design is not significant. O Because the p-value sa = 0.05, type of design is not significant. Find the value of the test statistic for size of advertisement. (Round your answer to two decimal places.) Find the p-value for size of advertisement. (Round your answer to three decimal places.) p-value=

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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State your conclusion about size of advertisement. O Because the p-value < a = 0.05, size of advertisement is not significant. O Because the p-value > a = 0.05, size of advertisement is not significant. O Because the p-value < a = 0.05, size of advertisement is significant. O Because the p-value > a = 0.05, size of advertisement is significant. Find the value of the test statistic for interaction between type of design and size of advertisement. (Round your answer to two decimal places.) Find the p-value for interaction between type of design and size of advertisement. (Round your answer to three decimal places.) p-value = State your conclusion about interaction between type of design and size of advertisement. O Because the p-value > a = 0.05, interaction between type of design and size of advertisement is not significant. O Because the p-value s a = 0.05, interaction between type of design and size of advertisement is significant. O Because the p-value > a = 0.05, interaction between type of design and size of advertisement is significant. O Because the p-value < a = 0.05, interaction between type of design and size of advertisement is not significant.
Transcribed Image Text:State your conclusion about size of advertisement. O Because the p-value < a = 0.05, size of advertisement is not significant. O Because the p-value > a = 0.05, size of advertisement is not significant. O Because the p-value < a = 0.05, size of advertisement is significant. O Because the p-value > a = 0.05, size of advertisement is significant. Find the value of the test statistic for interaction between type of design and size of advertisement. (Round your answer to two decimal places.) Find the p-value for interaction between type of design and size of advertisement. (Round your answer to three decimal places.) p-value = State your conclusion about interaction between type of design and size of advertisement. O Because the p-value > a = 0.05, interaction between type of design and size of advertisement is not significant. O Because the p-value s a = 0.05, interaction between type of design and size of advertisement is significant. O Because the p-value > a = 0.05, interaction between type of design and size of advertisement is significant. O Because the p-value < a = 0.05, interaction between type of design and size of advertisement is not significant.
A mail-order catalog firm designed a factorial experiment to test the effect of the size of a magazine advertisement and the advertisement design on the number of catalog requests received (data in thousands). Three advertising designs and two different-size advertisements were considered. The data obtained follow. Size of Advertisement Small Large 7 13 A 11 9 22 26 Design B 14 30 11 17 19 13 Use the ANOVA procedure for factorial designs to test for any significant effects due to type of design, size of advertisement, or interaction. Use a = 0.05. Find the value of the test statistic for type of design. (Round your answer to two decimal places.) Find the p-value for type of design. (Round your answer to three decimal places.) p-value = State your conclusion about type of design. O Because the p-value > a = 0.05, type of design is significant. O Because the p-value s a = 0.05, type of design is significant. O Because the p-value > a = 0.05, type of design is not significant. O Because the p-value s a = 0.05, type of design is not significant. Find the value of the test statistic for size of advertisement. (Round your answer to two decimal places.) Find the p-value for size of advertisement. (Round your answer to three decimal places.) p-value = State vour conclusion about size of advertisement
Transcribed Image Text:A mail-order catalog firm designed a factorial experiment to test the effect of the size of a magazine advertisement and the advertisement design on the number of catalog requests received (data in thousands). Three advertising designs and two different-size advertisements were considered. The data obtained follow. Size of Advertisement Small Large 7 13 A 11 9 22 26 Design B 14 30 11 17 19 13 Use the ANOVA procedure for factorial designs to test for any significant effects due to type of design, size of advertisement, or interaction. Use a = 0.05. Find the value of the test statistic for type of design. (Round your answer to two decimal places.) Find the p-value for type of design. (Round your answer to three decimal places.) p-value = State your conclusion about type of design. O Because the p-value > a = 0.05, type of design is significant. O Because the p-value s a = 0.05, type of design is significant. O Because the p-value > a = 0.05, type of design is not significant. O Because the p-value s a = 0.05, type of design is not significant. Find the value of the test statistic for size of advertisement. (Round your answer to two decimal places.) Find the p-value for size of advertisement. (Round your answer to three decimal places.) p-value = State vour conclusion about size of advertisement
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