RENTALSCOURSESHint(s) Check My Work13.14.く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 wasalso 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.SpanishLanguageFrenchGermanSystem 181412Study toolsSystem 2College Success Tips24812181614141620Career Success TipsTest 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 SquareFp-value? HelpFactor A× ☑×××× ×××Factor B+ SIGN OUTInteractionErrorTotal* *XThe p-value for Factor A is between 0.05 and 0.10What is your conclusion with respect to Factor A?Factor A is not significant ✓GThe p-value for Factor B is between 0.01 and 0.025What is your conclusion with respect to Factor B?Factor B is significantร××W

We have given data, LanguageSpanishFrenchGermanSystem 181412121816System 24141481620Now we will use…

Answered: A factorial experiment was designed to…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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The Bureau of Labor Statistics reports that the official unemployment rate for Black people was 10.4% and 4.7% for White people in February 2015. Select all correct answers for this question. O The samples of white and black people are independent. The explanatory variable is the unemployment rate. The response variable is the unemployment rate. The response variable is race.
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?
Fast-food restaurants may be able to decrease yearly expenses simply by decreasing the size of the paper napkins they provide to patrons. Papel Paper Products is considering pitching the smaller-napkin idea to potential restaurant clients. To determine the receptiveness of different restaurants to the idea, Papel surveyed 400 fast-food establishments chosen at random, and looked at the data according to two variables: type of fast-food restaurant ("burger/sandwich", "Chinese/Mexican", or "other") and attitude toward the smaller-napkin idea ("receptive" or "not receptive.") The data are summarized in the contingency table below. Each of the 6 cells of the table contains three numbers: the first number is the observed cell frequency (f); the second number is the expected cell frequency (f) under the assumption that the two variables type of fast-food restaurant and attitude toward the smaller-napkin idea are not associated; and the third number is the following value. (fo-ƒE)² JE…
fill blanks underlines.
You may need to use the appropriate technology to answer this question. The better-selling candies are often high in calories. Assume that the following data show the calorie content from samples of M&M's, Kit Kat, and Milky Way II. M&M's Kit Kat Milky Way II 250 245 200 210 205 208 230 215 202 220 225 190 250 240 180 Test for significant differences among the calorie content of these three candies. State the null and alternative hypotheses. O H,: Median MM * Mediank * Median ww KK H: Median MM = Mediangk = MedianMw "KK O Ho: Median MM = MedianKK H: Median MM * Median KK * MedianyW Median Mw O Ho: All populations of calories are identical. H: Not all populations of calories are identical. O Ho: Not all populations of calories are identical. H: All populations of calories are identical. O Ho: Median MM = Mediank = MedianMw H: Median MM > Mediankk > Median Mw Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three…
his question refers to excavations at a national monument. One question the archaeologists asked was: Is raw material used by prehistoric Indians for stone tool manufacture independent of the archaeological excavation site? Two different excavation sites gave the information in the following table. Use a chi-square test with 5% level of significance to test the claim that raw material used for construction of stone tools and excavation site are independent. Excavation Site Material Site A Site B Row Total Basalt 756 559 1315 Obsidian 92 103 195 Pedernal chert 514 521 1035 Other 88 91 179 Column Total 1450 1274 2724 (a) What is the level of significance? (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.)
Use the given info and answer subquestion 10.b only
The questions below are based on a dataset containing the characteristics of 5,407households. In particular, we will use the following variables:- size: home size, measured in square feet.- hhinc: annual household net income, measured in euros.- owner: dummy variable equal to 1 if the living space is owned, and 0 if the livingspace is rented.- hhsize1: dummy variable equal to 1 if the number of household’s members is 1 or2, and 0 otherwise.- hhsize2: dummy variable equal to 1 if the number of household’s members is 3 or4, and 0 otherwise.- hhsize3: dummy variable equal to 1 if the number of household’s members is 5 orabove 5, and 0 otherwise.- edu: education level of household’s members. We conduct a simple regression of size on hhinc, now using robust standard errors.The regression output is reported in Table 2. Why are the estimated coefficients inTable 2 equal to the estimated coefficients in Table 1? Do the conclusions on thestatistical significance at 5% of the coefficient of…

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