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 languagetranslators. Because the type of language translated was also considered a significant factor, transtations were made with both systems for three different languages: Spanish, French, andGerman. Use the following data for translation time in hours.LanguageSpanishFrenchGermanSystem 11314111718System 2101516141722Test for any significant afferences due to language transtator system (Factor A), type of language (Factor B), and interaction. Use a=0.05.Complete the following ANOVA table (to 2 decimals, if necessary). Round your prvalue to 4 decimal placesSource of Variation Sum of Squares Degrees of Freedom Mean Squarep-valueFactor AFactorInteractionErrorTotal

State the hypotheses Let Factor A denotes the language translator system. Let Factor B denotes the…

Answered: A factorial experiment was designed to…

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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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 translators. Because the type of language translated was also considered a significant factor, translations were made with both systems for three different languages: Spanish, French, and German. Use the following data for translation time in hours. Language Spanish French German System 1 8 14 12 12 18 16 System 2 9 14 17 13 16 23 Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use a=0.05 . Complete the following ANOVA table (to 2 decimals, if necessary). Round your p-value to 4 decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square F P-value Factor A Factor B Interaction Error Total The p-value for Factor A is What…
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 translators. Because the type of language translated was also considered a significant factor, translations were made with both systems for three different languages: Spanish, French, and German. Use the following data for translation time in hours. Language Spanish French German System 1 7 12 14 11 16 18 System 2 4 12 18 8 14 24 Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use a=.05 . Complete the following ANOVA table (to 2 decimals, if necessary). Round your p-value to 4 decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square F P-value Factor A Factor B Interaction Error Total
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 translators. Because the type of language translated was also considered a significant factor, translations were made with both systems for three different languages: Spanish, French, and German. Use the following data for translation time in hours. Language Spanish French German System 1 6 13 11 10 17 15 System 2 7 13 14 11 15 20 Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use . Complete the following ANOVA table (to 2 decimals, if necessary). Round your p-value to 4 decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square -value Factor A Factor B Interaction Error Total
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 translators. Because the type of language translated was also considered a significant factor, translations were made with both systems for three different languages: Spanish, French, and German. Use the following data for translation time in hours. Language Spanish French German System 1 6 13 11 10 17 15 System 2 7 13 14 11 15 20 Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use . Complete the following ANOVA table (to 2 decimals, if necessary). Round your p-value to 4 decimal places.
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 translators. Because the type of language translated was also considered a significant factor, translations were made with both systems for three different languages: Spanish, French, and German. Use the following data for translation time in hours. Language Spanish French German System 1 7 14 15 11 18 19 System 2 6 15 19 10 17 25 Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use x=.05 Complete the following ANOVA table (to 2 decimals, if necessary). Round your p-value to 4 decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square F P-value Factor A Factor B Interaction Error Total The p-value for Factor A is -…
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 translators. Because the type of language translated was also considered a significant factor, translations were made with both systems for three different languages: Spanish, French, and German. Use the following data for translation time in hours. Language Spanish French German System 1 7 8 15 11 12 19 System 2 6 16 18 10 18 24 Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use = .05. Complete the following ANOVA table (to 2 decimals, if necessary). Round p-value to four decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Factor A Factor B Interaction Error Total The p-value for Factor A is…
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 translators. Because the type of language translated was also considered a significant factor, translations were made with both systems for three different languages: Spanish, French, and German. Use the following data for translation time in hours. Language Spanish French German System 1 8 14 15 12 18 19 System 2 4 17 17 8 19 23 Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use . Complete the following ANOVA table (to 2 decimals, if necessary). Round your p-value to 4 decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square -value Factor A Factor B Interaction Error Total The p-value for Factor A is: less than…
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
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?
Gaucher, Friesen, and Kay (2010) found that masculine-themed words (such ascompetitive, independent, analyze, strong) are commonly used in job recruitmentmaterials, especially for job advertisements in male-dominated areas. In a similarstudy, a researcher counted the number of masculine-themed words in jobadvertisements for job areas, and obtained the following data.Area Number of Masculine WordsPlumber 14Electrician 12Security guard 17Bookkeeper 9Nurse 6Early-childhood educator 7Determine what kind of graph would be appropriate for showing this distribution andsketch the frequency distribution graph.
A study was performed on 200 elementary school students to investigate whether regular Vitamin A supplementation was effective in preventing colds during the month of March. 100 were randomized to receive daily Vitamin A supplements during the month of March, and 100 students were randomized to a placebo group (and did not receive Vitamin A) during the same month. The number of students getting at least one cold in March was computed in the two groups, and the results are given in the following 2 X 2 table. Using a 5% level of significance determine whether there is an association between Vitamin A supplementation and prevention of Common Cold ColdNo Cold Vitamin A1585100 Placebo2575100 40160200
In Colorado, there is a large group of deer that spend their summer months in a region on one side of a highway and survive the winter months in a lower region on the other side. To determine if the highway has disturbed deer migration to the winter feeding area, the following data were gathered on a random sample of 10 wilderness districts in the winter feeding area. Row B represents the average January deer count for a 5-year period before the highway was built, and row A represents the average January deer count for a 5-year period after the highway was built. The highway department claims that the January population has not changed. Test this claim against the claim that the January population has dropped. Use a 5% level of significance. Units used in the table are hundreds of deer. (Let d = B − A.) Wilderness District 1 2 3 4 5 6 7 8 9 10 B: Before highway 10.1 7.2 12.9 5.6 17.4 9.9 20.5 16.2 18.9 11.6 A: After highway 9.3 8.4 10.2 4.1 4.0 7.1 15.2 8.3 12.2 7.3 What…

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