obtained follow. A Design B Size of Advertisement Small 6 10 24 16 10 18 Large 14 10 24 28 18 14 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 not significant. Comm O Because the p-value s a 0.05, type of design is significant. Because O Because the p-value> a = 0.05, type of design is significant. O Because the p-values 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.) Jak wy S Find the p-value for size of advertisement. (Round your answer to three decimal places.) p-value= State your conclusion about size of advertisement. Because the p-value sa = 0.05, size of advertisement is 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 sa = 0.05, size of advertisement is not 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. Opin 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> a = 0.05, interaction between type of design and size of advertisement is significant. O Because the p-value sa = 0.05, interaction between type of design and size of advertisement is not significant. O Because the p-values a 0.05, interaction between type of design and size of advertisement is significant.
obtained follow. A Design B Size of Advertisement Small 6 10 24 16 10 18 Large 14 10 24 28 18 14 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 not significant. Comm O Because the p-value s a 0.05, type of design is significant. Because O Because the p-value> a = 0.05, type of design is significant. O Because the p-values 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.) Jak wy S Find the p-value for size of advertisement. (Round your answer to three decimal places.) p-value= State your conclusion about size of advertisement. Because the p-value sa = 0.05, size of advertisement is 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 sa = 0.05, size of advertisement is not 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. Opin 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> a = 0.05, interaction between type of design and size of advertisement is significant. O Because the p-value sa = 0.05, interaction between type of design and size of advertisement is not significant. O Because the p-values a 0.05, interaction between type of design and size of advertisement is significant.
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 2E
Related questions
Question
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.
Design
B
Size of Advertisement
Small
6
10
24
16
10
18
Large
14
10
24
28
18
14
Use the ANOVA procedure for factorial designs to test for any significant effects due to type of design, size of advertisement, or interaction. Use α = 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 > α = 0.05, type of design is not significant.
O Because the p-value ≤ x = 0.05, type of design is significant.
Because the p-value > x = 0.05, type of design is significant.
O Because the p-value ≤ α = 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 your conclusion about size of advertisement.
O Because the p-value ≤ x = 0.05, size of advertisement is significant.
Because the p-value > α = 0.05, size of advertisement is not significant.
Because the p-value > a = 0.05, size of advertisement is significant.
O Because the p-value < α = 0.05, size of advertisement is not 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 > α = 0.05, interaction between type of design and size of advertisement is not significant.
Because the p-value > α = 0.05, interaction between type of design and size of advertisement is significant.
O Because the p-value ≤ α = 0.05, interaction between type of design and size of advertisement is not significant.
O Because the p-value < α = 0.05, interaction between type of design and size of advertisement is significant.
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