an experiment designed to test the output levels of three different treatments, the following results were obtained: SST 380, SSTR 150, ny 19. Set up the ANOVA table. (Round your values for MSE and F to two decimal places, and your p-value to four decin Source of Variation Treatments Error Total Sum Degrees Mean of Squares of Freedom Square O Ho: At least two of the population means are equal. H: At least two of the population means are different. st for any significant difference between the mean output levels of the three treatments. Use a = 0.05. ate the null and alternative hypotheses. O Ho: Not all the population means are equal. H₂H₁ H₂ H3 O Hoi H₁ H₂ H3 H₂H₁ H₂ H3 Hoi H₁ H₂ H3 H₂H₁ H₂ H3 F Hoi H₁ H₂ H3 Ha: Not all the population means are equal. nd the value of the test statistic. (Round your answer to two decimal places.) nd the p-value. (Round your answer to four decimal places.) walue= p-value ate your conclusion. O Do not reject Ho. There is sufficient evidence to conclude that the means of the three treatments are not equal.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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In an experiment designed to test the output levels of three different treatments, the following results were obtained: SST = 380, SSTR = 150, n₁ = 19. Set up the ANOVA table. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.)
Source
Sum
Degrees
Mean
of Variation of Squares of Freedom Square
Treatments
Error
Total
O Ho: At least two of the population means are equal.
H₂: At least two of the population means are different.
Test for any significant difference between the mean output levels of the three treatments. Use α = 0.05.
State the null and alternative hypotheses.
O Ho: Not all the population means are equal.
H₂: M₁ = M₂ = μ3
о но: H1 =H2= из
Ha: M₁ M₂ M3
о но: M1 # M2 # M3
На: M1 = M2 = Из
F
O Ho: M₁ = M₂ = μ3
Ha: Not all the population means are equal.
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 =
p-value
State your conclusion.
O Do not reject Ho. There is sufficient evidence to conclude that the means of the three treatments are not equal.
O Reject Ho. There is not sufficient evidence to conclude that the means of the three treatments are not equal.
O Do not reject Ho. There is not sufficient evidence to conclude that the means of the three treatments are not equal.
O Reject Ho. There is sufficient evidence to conclude that the means of the three treatments are not equal.
Transcribed Image Text:In an experiment designed to test the output levels of three different treatments, the following results were obtained: SST = 380, SSTR = 150, n₁ = 19. Set up the ANOVA table. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.) Source Sum Degrees Mean of Variation of Squares of Freedom Square Treatments Error Total O Ho: At least two of the population means are equal. H₂: At least two of the population means are different. Test for any significant difference between the mean output levels of the three treatments. Use α = 0.05. State the null and alternative hypotheses. O Ho: Not all the population means are equal. H₂: M₁ = M₂ = μ3 о но: H1 =H2= из Ha: M₁ M₂ M3 о но: M1 # M2 # M3 На: M1 = M2 = Из F O Ho: M₁ = M₂ = μ3 Ha: Not all the population means are equal. 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 = p-value State your conclusion. O Do not reject Ho. There is sufficient evidence to conclude that the means of the three treatments are not equal. O Reject Ho. There is not sufficient evidence to conclude that the means of the three treatments are not equal. O Do not reject Ho. There is not sufficient evidence to conclude that the means of the three treatments are not equal. O Reject Ho. There is sufficient evidence to conclude that the means of the three treatments are not equal.
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