Statistics for Business & Economics
Statistics for Business & Economics
16th Edition
ISBN: 9781337325448
Author: Anderson
Publisher: CENGAGE C
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Chapter 16.5, Problem 26E

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 (in thousands) of catalog requests received. Three advertising designs and two sizes of advertisements were considered. The following data were obtained. Test for any significant effects due to type of design, size of advertisement, or interaction. Use α = .05.

Design Size of Ad vertisement
Small Large
A 8 12
12 8
B 22 26
14 30
C 10 18
18 14
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Another experiment involving processor speed (Sp) and size of random access memory (RAM) for computers produced the following data     Sp1 Sp2 RAM 1 48 37 38 35 37 39 RAM 2 30 35 31 22 26 30   Are the factors Sp and RAM or their interaction statistically significant?
In a study of a group of women science majors who remained in their profession and a group who left their profession within a few months of graduation, the researchers collected the data shown here on a self-esteem questionnaire. Leavers Stayers1 = 3.05 2 = 2.92σ1 = 0.71 σ2 = 0.71n1 = 100 n2 = 227At α = 0.05, can it be concluded that there is a difference in the self-esteem scores of the two groups? Use the P-value method.
A factorial experiment was designed to test for any significant differences in the time needed to perform English to foreign language translations with two computerized language translations.  Because the type of language translated was also considered  a significant factor, translations wwre made both systems for three languages: Spanish,  French,  and German. Use the following data for translation time in hours.              Spanish.    French    German Sys 1         12             14             15                    16             18              19 Sys 2.         7               12             17                    11             14              23 Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interactuon. Use a =.05. Complete the following ANOVA table (to 2 decimals, if necessary). Round your value  to 4 decimal places. Attached is what I need help with. Thank you

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