How long it takes paint to dry can have an impact on the production capacity of a business. An auto body & paint business invested in a paint-drying robot to speed up its process. An interesting question is, "Do all paint-drying robots have the same drying time?" To test this, suppose we sample five drying times for each of different brands of paint-drying robots. The time in minutes until the paint was dry enough for a second coat to be applied was recorded. Suppose the following data were obtained. Robot 1 Robot 2 Robot 3 Robot 4 129 143 134 151 138 133 142 143 136 141 137 136 125 145 137 141 132 128 125 144 At the ? = 0.05 level of significance, test to see whether the mean drying time is the same for each type of robot. State the null and alternative hypotheses. H0: ?1 = ?2 = ?3 = ?4 Ha: ?1 ≠ ?2 ≠ ?3 ≠ ?4H0: ?1 = ?2 = ?3 = ?4 Ha: Not all the population means are equal. H0: Not all the population means are equal. Ha: ?1 = ?2 = ?3 = ?4H0: ?1 ≠ ?2 ≠ ?3 ≠ ?4 Ha: ?1 = ?2 = ?3 = ?4H0: At least two of the population means are equal. Ha: At least two of the population means are different. Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = What is your conclusion? Do not reject H0. There is not sufficient evidence to conclude that the mean drying times for the four robots are not all equal.Reject H0. There is not sufficient evidence to conclude that the mean drying times for the four robots are not all equal. Reject H0. There is sufficient evidence to conclude that the mean drying times for the four robots are not all equal.Do not reject H0. There is sufficient evidence to conclude that the mean drying times for the four robots are not all equal.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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How long it takes paint to dry can have an impact on the production capacity of a business. An auto body & paint business invested in a paint-drying robot to speed up its process. An interesting question is, "Do all paint-drying robots have the same drying time?" To test this, suppose we sample five drying times for each of different brands of paint-drying robots. The time in minutes until the paint was dry enough for a second coat to be applied was recorded. Suppose the following data were obtained.
Robot 1 Robot 2 Robot 3 Robot 4
129 143 134 151
138 133 142 143
136 141 137 136
125 145 137 141
132 128 125 144
At the ? = 0.05 level of significance, test to see whether the mean drying time is the same for each type of robot.
State the null and alternative hypotheses.
H0: ?1 = ?2 = ?3 = ?4
Ha: ?1 ≠ ?2 ≠ ?3 ≠ ?4H0: ?1 = ?2 = ?3 = ?4
Ha: Not all the population means are equal.    H0: Not all the population means are equal.
Ha: ?1 = ?2 = ?3 = ?4H0: ?1 ≠ ?2 ≠ ?3 ≠ ?4
Ha: ?1 = ?2 = ?3 = ?4H0: At least two of the population means are equal.
Ha: At least two of the population means are different.
Find the value of the test statistic. (Round your answer to two decimal places.)
 
Find the p-value. (Round your answer to four decimal places.)
p-value = 
What is your conclusion?
Do not reject H0. There is not sufficient evidence to conclude that the mean drying times for the four robots are not all equal.Reject H0. There is not sufficient evidence to conclude that the mean drying times for the four robots are not all equal.    Reject H0. There is sufficient evidence to conclude that the mean drying times for the four robots are not all equal.Do not reject H0. There is sufficient evidence to conclude that the mean drying times for the four robots are not all equal.
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