Missing p values 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, translations were made with both systems for three different languages: Spanish, French,and German. Use the following data for translation time in hours.LanguageSpanishFrenchGermanSystem 1111015151419System 291518131724Test 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 SquareFp-valueFactor A121121.38©0.2838xFactor B1042526.00Interaction242 G121.38Error52098.67Total19211

Step 1:Given: SpanishFrenchGermanSystem 1111015 151419System 291518 131724Step 2:Goal:Determine the…

Answered: A factorial experiment was designed to…

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section11.5: Interpreting Data

Problem 1C

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A psychologist studying the human factors of computer keyboards sets up an experiment to compare two different keyboard designs. He measures the number of words per minute typed by one group on Keyboard A and then he measures the number of words typed per minute by another group of people on Keyboard B. Use the data below to determine if the typing speeds on the two different keyboards are significantly different. Keyboard A (words per minute) 54, 62, 75, 59, 78, 64, 69, 72, 50, 73 Keyboard B (words per minute) 47, 51, 54, 62, 44, 51, 48, 65, 42, 44, 71, 68 Evaluate on a TI 83 calculator
For unemployed persons in the United States, the average number of months ofunemployment at the end of December 2009 was approximately seven months(Bureau of Labor Statistics, January 2010). Suppose the following data are for aparticular region in upstate New York. The values in the first column show thenumber of months unemployed and the values in the second column show thecorresponding number of unemployed persons.MonthsUnemployedNumberUnemployed1 10292 16863 22694 26755 34876 46527 41458 35879 2325 10 1120Let x be a random variable indicating the number of months a person is unemployed.a. Use the data to develop an empirical discrete probability distribution for x.b. Show that your probability distribution satisfies the conditions for a validdiscrete probability distribution.c. What is the probability that a person is unemployed for two months or less?Unemployed for more than two months?d. What is the probability that a person is unemployed for more than sixmonths?
You may need to use the appropriate technology to answer this question. 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 8 10 12 System 1 12 14 16 6 14 16 System 2 10 16 22 Test for any significant differences due to language translator, type of language, and interaction. Use a = 0.05. Find the value of the test statistic for language translator. (Round your answer to two decimal places.) Find the p-value for language translator. (Round your answer to three decimal places.) p-value = State your conclusion about language translator. O Because the p-value > a = 0.05, language…
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 10 15 10 14 19 System 2 6. 14 14 10 16 20 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 1 Factor B 2 Interaction Error 52 6 8.6666 Total 11
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, transtations 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 13 14 11 17 18 System 2 10 15 16 14 17 22 Test 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 places Source of Variation Sum of Squares Degrees of Freedom Mean Square p-value Factor A Factor 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 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 health psychologist investigated dietary differences between middle class Hispanic and Black women. One dietary practice examined was the consumption of mutagen-containing meats (defined as smoked, grilled, or fried meat). Based on the contingency table below, is there a reason to believe there a difference between women with respect to their consumption of mutagen-containing meat servings per day. What can be concluded with an a of 0.01? Ethnicity Мeat Hispanic Black 0-1 68 75 serving 2-3 45 19 serving 4+ 11 37 serving a) Select and compute the appropriate statistic. ---Select--- %3D b) Obtain/compute the appropriate values to make a decision about Ho. p-value ; Decision: ---Select--- c) Compute the corresponding effect size(s) and indicate magnitude(s). If not appropriate, input and/or select "na" below. Effect Size = ; Magnitude: ---Select-- d) Make an interpretation based on the results. O There is a significant negative relationship between middle class and food preference.…
The National Sleep Foundation used a survey to determine whether hours of sleeping per night are independent of age (Newsweek, January 19, 2004). The following show the hours of sleep on weeknights for a sample of individuals age 49 and younger and for a sample of individuals age 50 and older.
An educational psychologist was interested in whether using a student’s own name in a story affected children’s attention span while reading. Six children were randomly assigned to read a story under ordinary conditions (using names like Dick and Jane). Six other children read versions of the same story, but with each child’s own name substituted for one of the children in the story. The researcher kept a careful measure of how long it took (in minutes) each child to read the story. The results are shown in Table 2. Using the 0.05 alpha level, does including the child’s name make any difference? Use all of the steps of hypothesis testing.
An educational psychologist is interested in whether using a child’s own name in a story affected attention span while reading. Six children were randomly assigned to read a story under ordinary conditions (using common and generic names). Five other children read versions of the same story, but with each child’s ownname substituted for one of the children in the story. The researcher measured the amount of time (in minutes) each child spent reading the story. The results are shown in the following table. Does including the child’s namemake any difference in attention span? Test the hypothesis at an alpha set to .05, following these steps: a) write the null and alternative hypotheses; b) determine the critical value(s); c) draw the comparison distribution with rejection region(s) shaded; d)use the correct formula to compute the test statistic; e) state the statistical decision; f) state a brief conclusion.
A researcher from the ministry of education wants to find out if there is an academic difference in students from different parishes in Jamaica based on the CSEC examinations. He selected 20 students who completed the exam from three parishes; St James, St Ann, Kingston. He will assess them based on their English and Mathematics scores. Use the provided data to do the following questions. ID Parish English Mathematics 1 StJames 90 92 2 StJames 83 83 3 StJames 80 70 4 StJames 82 65 5 StJames 90 92 6 StJames 95 94 7 StJames 98 66 8 StJames 96 77 9 StJames 81 78 10 StJames 84 80 11 StJames 63 70 12 StJames 71 66 13 StJames 72 68 14 StJames 66 69 15 StJames 75 75 16 Kingston 79 74 17 kingston 67 63 18 kingston 65 62 19 kingston 65 77 20 kingston 60 67 21 kingston 64 75…
The accompanying table pertains to scheduled commercial carriers for a certain country. The third year was an anomaly. If the anomalous numbers are removed from the data for the third year (4 of the 7 fatal accidents and 261 of the 531 fatalities were anomalous), which of the three measures for fatalities change and what are their new values for each of them? Click the icon to view the commercial carrier data for the country. ... Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Simplify your answer. Type an integer or a decimal. Do not round.) OA. The new median is The mean and mode remain the same. The median and mode remain the same. OB. The new mean is OC. The new mode is D. The mean, the median, and the mode all remain the same. The mean and the median remain the same.

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