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ANOVA Table Post Hoc Analysis

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ANOVA table
ANOVA table Post hoc analysis Tukey simultaneous comparison t-values The Excel/MegaStat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners. The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. Use the information above and determine a Tukey simultaneous 95 percent confidence interval for μ<sub>1</sub> − μ<sub>2</sub>. The mean and sample sizes for brand 1 and brand 2 are as follows: = 2.95, = 2.28, n<sub>1</sub> = 4, and n<sub>2</sub> = 5. Post hoc analysis
Tukey simultaneous comparison t-values
ANOVA table Post hoc analysis Tukey simultaneous comparison t-values The Excel/MegaStat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners. The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. Use the information above and determine a Tukey simultaneous 95 percent confidence interval for μ<sub>1</sub> − μ<sub>2</sub>. The mean and sample sizes for brand 1 and brand 2 are as follows: = 2.95, = 2.28, n<sub>1</sub> = 4, and n<sub>2</sub> = 5. The Excel/MegaStat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners. The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt.
Use the information above and determine a Tukey simultaneous 95 percent confidence interval for μ1 − μ2. The mean and sample sizes for brand 1 and brand 2 are as follows: ANOVA table Post hoc analysis Tukey simultaneous comparison t-values The Excel/MegaStat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners. The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. Use the information above and determine a Tukey simultaneous 95 percent confidence interval for μ<sub>1</sub> − μ<sub>2</sub>. The mean and sample sizes for brand 1 and brand 2 are as follows: = 2.95, = 2.28, n<sub>1</sub> = 4, and n<sub>2</sub> = 5. = 2.95, ANOVA table Post hoc analysis Tukey simultaneous comparison t-values The Excel/MegaStat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners. The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. Use the information above and determine a Tukey simultaneous 95 percent confidence interval for μ<sub>1</sub> − μ<sub>2</sub>. The mean and sample sizes for brand 1 and brand 2 are as follows: = 2.95, = 2.28, n<sub>1</sub> = 4, and n<sub>2</sub> = 5. = 2.28, n1 = 4, and n2 = 5.

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