A factorial experiment was designed to test for any significant differences in the time needed toperform English to foreign language translations with two computerized language translators.Because the type of language translated was also considered a significant factor, translationswere made with both systems for three different languages: Spanish, French, and German. Usethe following data for translation time in hours.LanguageSpanishFrenchGermanSystem 161115101519System 26.1516101722Test for any significant differences due to language translator system (Factor A), type oflanguage (Factor B), and interaction. Use a = .05.Complete the following ANOVA table (to 2 decimals, if necessary). Round your p-value to 4decimal places.Source ofSum ofDegrees ofMeanp-valueVariationSquaresFreedomSquareFactor AFactor BInteractionErrorTotal00000000000

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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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The table below contains data from a study of two airlines - Sunshine Airlines & Comfort Airlines - which fly from BWI to Shore City, FL. If one Airline is selected, find P (on time and Comfort Airlines). Number of Flights Arriving on Time Number of Flights Arriving Late Sunshine Airlines 33 5 Comfort Airlines 43 6
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The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains.t One of the variables in the study is meal price, the average amount paid per person for dinner and drinks, minus the tip. Suppose a reporter for the Sun Coast times thought that it would be of interest to her readers to conduct a similar study for restaurants located on the Grand Strand section in Myrtle Beach, South Carolina. The reporter selected a sample of 8 seafood restaurants, 8 Italian restaurants, and 8 steakhouses. The following data show the meal prices ($) obtained for the 24 restaurants sampled. Italian Seafood Steakhouse $12 $16 $24 13 18 19 15 17 23 17 26 25 18 23 21 20 15 22 17 19 27 24 18 31 Use a = 0.05 to test whether there is a significant difference among the mean meal price for the three types of restaurants. State the null and alternative hypotheses. O Ho: ralian * lseafood * lsteakhouse H: talian = lSeafood = ASteakhouse O Ho: Not all the…
You may need to use the appropriate technology to answer this question. The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains.† One of the variables in the study is meal price, the average amount paid per person for dinner and drinks, minus the tip. Suppose a reporter for a local newspaper thought that it would be of interest to her readers to conduct a similar study for restaurants located in her city. The reporter selected a sample of 8 seafood restaurants, 8 Italian restaurants, and 8 steakhouses. The following data show the meal prices ($) obtained for the 24 restaurants sampled. Italian Seafood Steakhouse $13 $15 $24 14 19 18 16 18 22 17 25 24 17 22 21 19 16 23 16 18 26 32 11 34 Use ? = 0.05 to test whether there is a significant difference among the mean meal price for the three types of restaurants. State the null and alternative hypotheses. H0: ?Italian = ?Seafood = ?SteakhouseHa:…
What is the advantage of using a within-subjects design when there are large individual difference in colour naming and reading proficiency?
Do you think the results of the study might be applicable to the whole population? Why or why not?
Virginia polled a large sample of individuals to find the percentage of students with known food allergies and the percentage of students without known food allergies. Which of the following could sufficiently display the data if only the two given categories are to be included? Select the correct answer below: bar graph pie chart either a pie chart or a bar graph neither a pie chart nor a bar graph
fill blanks underlines.
A 2009 Pew Research Center survey asked a sample of 1,504 adults living in the United States for their opinions on recent technological advancements, such as online shopping, cell phones, and social networking. Respondents categorized each advancement as a change for the worse, hasn't made much difference, a change for the better, or don't know. A summary of respondents' opinions on the Internet follows: Response Change for the worse Hasn't made much difference Change for the better. Don't know Percent of Respondents 16 11 65 8 Make a bar graph of the relative frequency distribution of the responses.
Psychologists at Disney World measured factors that affect the scariness of the soundtrack for their Haunted House ride. In particular, they were interested in the loudness of the screams (soft versus loud) and the length of the screams (short versus long). They used a 2 × 2 factorial design to test how these factors combined. They collected data from 10 different riders in each of the four conditions. Each rider rated the scariness of the ride on a nine-point scale. short screams long screams soft screams T=38, n = 10, SS = 13.6 T=64, n = 10, SS = 22.4 loud screams T=52, n=10, SS = 29.6 T=50, n=10, SS = 16.0 For these data: G = 204, N = 40, X2 = 1156. 1. Sketch a dataplot of the mean rating in each condition. 2. Calculate SS total, the total sum of squares 3. Calculate SSwithin, the within-treatments sum of squares. 4. Calculate SSbetween, the between-treatments sum of squares. 5. Calculate SSA the sum of squares for Factor A (length of scream). 6. Calculate SSB, the sum of squares…
The Ministry of Manpower conducted an analysis of retail workers. A random sample of workers was asked a series of questions regarding workplace satisfaction and personal circumstances. Some of the variables and their definitions were as follows: AGE: GENDER: SALARY: POSITION: SERVICE: TRAVELTIME: the age of the worker (in years). the worker's gender. the worker's annual salary (in dollars). the worker's occupation within the industry, coded as 1= Sales Assistant, 2=Supervisor, 3-Manager. the length of service with current employer (recorded in days) the time the worker took to travel to work on their last work day before the interview (in minutes).

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