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At a Large Construction Website, a Construction Service Company Has

Question 20

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At a large construction website, a construction service company has four teams that carry out facing works. The management of the company has decided to find out whether they work at the same speed or not. For each team, a sample of several typical pieces of work was generated and the number of days spent on its implementation was analyzed. Data for this analysis are presented below. At a large construction website, a construction service company has four teams that carry out facing works. The management of the company has decided to find out whether they work at the same speed or not. For each team, a sample of several typical pieces of work was generated and the number of days spent on its implementation was analyzed. Data for this analysis are presented below. ​ Carry out an ANOVA F-test and interpret the results using the 95% confidence level. ​ A) , , , and p-value is greater than 0.10.We reject the null hypothesis and can conclude that the implementing time differs for the teams. B) , , , and p-value is less than 0.05.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. C) , , , and p-value is less than 0.05.We reject the null hypothesis and can conclude that the implementing time differs for the teams. D) , , , and p-value is greater than 0.10.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. ​ Carry out an ANOVA F-test and interpret the results using the 95% confidence level.
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A) At a large construction website, a construction service company has four teams that carry out facing works. The management of the company has decided to find out whether they work at the same speed or not. For each team, a sample of several typical pieces of work was generated and the number of days spent on its implementation was analyzed. Data for this analysis are presented below. ​ Carry out an ANOVA F-test and interpret the results using the 95% confidence level. ​ A) , , , and p-value is greater than 0.10.We reject the null hypothesis and can conclude that the implementing time differs for the teams. B) , , , and p-value is less than 0.05.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. C) , , , and p-value is less than 0.05.We reject the null hypothesis and can conclude that the implementing time differs for the teams. D) , , , and p-value is greater than 0.10.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. , At a large construction website, a construction service company has four teams that carry out facing works. The management of the company has decided to find out whether they work at the same speed or not. For each team, a sample of several typical pieces of work was generated and the number of days spent on its implementation was analyzed. Data for this analysis are presented below. ​ Carry out an ANOVA F-test and interpret the results using the 95% confidence level. ​ A) , , , and p-value is greater than 0.10.We reject the null hypothesis and can conclude that the implementing time differs for the teams. B) , , , and p-value is less than 0.05.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. C) , , , and p-value is less than 0.05.We reject the null hypothesis and can conclude that the implementing time differs for the teams. D) , , , and p-value is greater than 0.10.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. , At a large construction website, a construction service company has four teams that carry out facing works. The management of the company has decided to find out whether they work at the same speed or not. For each team, a sample of several typical pieces of work was generated and the number of days spent on its implementation was analyzed. Data for this analysis are presented below. ​ Carry out an ANOVA F-test and interpret the results using the 95% confidence level. ​ A) , , , and p-value is greater than 0.10.We reject the null hypothesis and can conclude that the implementing time differs for the teams. B) , , , and p-value is less than 0.05.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. C) , , , and p-value is less than 0.05.We reject the null hypothesis and can conclude that the implementing time differs for the teams. D) , , , and p-value is greater than 0.10.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. , and p-value is greater than 0.10.We reject the null hypothesis and can conclude that the implementing time differs for the teams.
B) At a large construction website, a construction service company has four teams that carry out facing works. The management of the company has decided to find out whether they work at the same speed or not. For each team, a sample of several typical pieces of work was generated and the number of days spent on its implementation was analyzed. Data for this analysis are presented below. ​ Carry out an ANOVA F-test and interpret the results using the 95% confidence level. ​ A) , , , and p-value is greater than 0.10.We reject the null hypothesis and can conclude that the implementing time differs for the teams. B) , , , and p-value is less than 0.05.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. C) , , , and p-value is less than 0.05.We reject the null hypothesis and can conclude that the implementing time differs for the teams. D) , , , and p-value is greater than 0.10.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. , At a large construction website, a construction service company has four teams that carry out facing works. The management of the company has decided to find out whether they work at the same speed or not. For each team, a sample of several typical pieces of work was generated and the number of days spent on its implementation was analyzed. Data for this analysis are presented below. ​ Carry out an ANOVA F-test and interpret the results using the 95% confidence level. ​ A) , , , and p-value is greater than 0.10.We reject the null hypothesis and can conclude that the implementing time differs for the teams. B) , , , and p-value is less than 0.05.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. C) , , , and p-value is less than 0.05.We reject the null hypothesis and can conclude that the implementing time differs for the teams. D) , , , and p-value is greater than 0.10.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. , At a large construction website, a construction service company has four teams that carry out facing works. The management of the company has decided to find out whether they work at the same speed or not. For each team, a sample of several typical pieces of work was generated and the number of days spent on its implementation was analyzed. Data for this analysis are presented below. ​ Carry out an ANOVA F-test and interpret the results using the 95% confidence level. ​ A) , , , and p-value is greater than 0.10.We reject the null hypothesis and can conclude that the implementing time differs for the teams. B) , , , and p-value is less than 0.05.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. C) , , , and p-value is less than 0.05.We reject the null hypothesis and can conclude that the implementing time differs for the teams. D) , , , and p-value is greater than 0.10.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. , and p-value is less than 0.05.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams.
C) At a large construction website, a construction service company has four teams that carry out facing works. The management of the company has decided to find out whether they work at the same speed or not. For each team, a sample of several typical pieces of work was generated and the number of days spent on its implementation was analyzed. Data for this analysis are presented below. ​ Carry out an ANOVA F-test and interpret the results using the 95% confidence level. ​ A) , , , and p-value is greater than 0.10.We reject the null hypothesis and can conclude that the implementing time differs for the teams. B) , , , and p-value is less than 0.05.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. C) , , , and p-value is less than 0.05.We reject the null hypothesis and can conclude that the implementing time differs for the teams. D) , , , and p-value is greater than 0.10.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. , At a large construction website, a construction service company has four teams that carry out facing works. The management of the company has decided to find out whether they work at the same speed or not. For each team, a sample of several typical pieces of work was generated and the number of days spent on its implementation was analyzed. Data for this analysis are presented below. ​ Carry out an ANOVA F-test and interpret the results using the 95% confidence level. ​ A) , , , and p-value is greater than 0.10.We reject the null hypothesis and can conclude that the implementing time differs for the teams. B) , , , and p-value is less than 0.05.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. C) , , , and p-value is less than 0.05.We reject the null hypothesis and can conclude that the implementing time differs for the teams. D) , , , and p-value is greater than 0.10.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. , At a large construction website, a construction service company has four teams that carry out facing works. The management of the company has decided to find out whether they work at the same speed or not. For each team, a sample of several typical pieces of work was generated and the number of days spent on its implementation was analyzed. Data for this analysis are presented below. ​ Carry out an ANOVA F-test and interpret the results using the 95% confidence level. ​ A) , , , and p-value is greater than 0.10.We reject the null hypothesis and can conclude that the implementing time differs for the teams. B) , , , and p-value is less than 0.05.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. C) , , , and p-value is less than 0.05.We reject the null hypothesis and can conclude that the implementing time differs for the teams. D) , , , and p-value is greater than 0.10.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. , and p-value is less than 0.05.We reject the null hypothesis and can conclude that the implementing time differs for the teams.
D) At a large construction website, a construction service company has four teams that carry out facing works. The management of the company has decided to find out whether they work at the same speed or not. For each team, a sample of several typical pieces of work was generated and the number of days spent on its implementation was analyzed. Data for this analysis are presented below. ​ Carry out an ANOVA F-test and interpret the results using the 95% confidence level. ​ A) , , , and p-value is greater than 0.10.We reject the null hypothesis and can conclude that the implementing time differs for the teams. B) , , , and p-value is less than 0.05.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. C) , , , and p-value is less than 0.05.We reject the null hypothesis and can conclude that the implementing time differs for the teams. D) , , , and p-value is greater than 0.10.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. , At a large construction website, a construction service company has four teams that carry out facing works. The management of the company has decided to find out whether they work at the same speed or not. For each team, a sample of several typical pieces of work was generated and the number of days spent on its implementation was analyzed. Data for this analysis are presented below. ​ Carry out an ANOVA F-test and interpret the results using the 95% confidence level. ​ A) , , , and p-value is greater than 0.10.We reject the null hypothesis and can conclude that the implementing time differs for the teams. B) , , , and p-value is less than 0.05.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. C) , , , and p-value is less than 0.05.We reject the null hypothesis and can conclude that the implementing time differs for the teams. D) , , , and p-value is greater than 0.10.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. , At a large construction website, a construction service company has four teams that carry out facing works. The management of the company has decided to find out whether they work at the same speed or not. For each team, a sample of several typical pieces of work was generated and the number of days spent on its implementation was analyzed. Data for this analysis are presented below. ​ Carry out an ANOVA F-test and interpret the results using the 95% confidence level. ​ A) , , , and p-value is greater than 0.10.We reject the null hypothesis and can conclude that the implementing time differs for the teams. B) , , , and p-value is less than 0.05.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. C) , , , and p-value is less than 0.05.We reject the null hypothesis and can conclude that the implementing time differs for the teams. D) , , , and p-value is greater than 0.10.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams. , and p-value is greater than 0.10.We don't reject the null hypothesis and cannot conclude that the implementing time differs for the teams.

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