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Sleep apnea is a disorder characterized by pauses in breathing during sleep. Children who sufer from untreated sleep apnea often have behavior problems, induding hyperactivity, inattention, and aggression. A common treatment for pediatric sleep apnea is the surgical removal of enlarged tonsils and adenoids that are obstructing the airways. Suppose researchers at a sleep clinic are interested in the effect of surgical treatment for pediatric sleep apnea on hyperactive behavior. They study nine children without sleep apnea, nine children with untreated sleep apnea, and nine children who have been surgically treated for sleep apnea. Hyperactivity is measured using the Conners Rating Scales. The sample means and sums of squares of the scores for each of the three groups are presented in the following table. Group Sample Mean Sum of Squares No Sleep Apnea 0.27 0.1568 Untreated Sleep Apnea 0.54 0.2592 Treated Sleep Apnea 0.32 0.1800 The researchers perform an analysis of variance (ANOVA) at a = 0.01 to test the hypothesis that the treatment means are equal. The results are presented in the following ANOVA table. ANOVA Table Source of Variation Sum of Squares Degrees of Freedom Mean Square Between Treatments 0.3714 2 0.1857 7.49 WIRhin Treatments 0.5960 24 0.0248 Total 0.9674 26 The ANOVA yielded a significant F statistic, so the nul hypothesis is rejected. Since there are more than two groups, the researchers are interested in determining which groups are different. The Tukey's Honestly Significant Difference (HSD) test will be used to evaluate the pairs. First, use the table given below to determine the appropriate value of q at a = 0.01. The q value for this problem is The Studentized Range Statistic (q) df for Error Term 2

Sleep apnea is a disorder characterized by pauses in breathing during sleep. Children who sufer from untreated sleep apnea often have behavior problems, induding hyperactivity, inattention, and aggression. A common treatment for pediatric sleep apnea is the surgical removal of enlarged tonsils and adenoids that are obstructing the airways. Suppose researchers at a sleep clinic are interested in the effect of surgical treatment for pediatric sleep apnea on hyperactive behavior. They study nine children without sleep apnea, nine children with untreated sleep apnea, and nine children who have been surgically treated for sleep apnea. Hyperactivity is measured using the Conners Rating Scales. The sample means and sums of squares of the scores for each of the three groups are presented in the following table. Group Sample Mean Sum of Squares No Sleep Apnea 0.27 0.1568 Untreated Sleep Apnea 0.54 0.2592 Treated Sleep Apnea 0.32 0.1800 The researchers perform an analysis of variance (ANOVA) at a = 0.01 to test the hypothesis that the treatment means are equal. The results are presented in the following ANOVA table. ANOVA Table Source of Variation Sum of Squares Degrees of Freedom Mean Square Between Treatments 0.3714 2 0.1857 7.49 WIRhin Treatments 0.5960 24 0.0248 Total 0.9674 26 The ANOVA yielded a significant F statistic, so the nul hypothesis is rejected. Since there are more than two groups, the researchers are interested in determining which groups are different. The Tukey's Honestly Significant Difference (HSD) test will be used to evaluate the pairs. First, use the table given below to determine the appropriate value of q at a = 0.01. The q value for this problem is The Studentized Range Statistic (q) df for Error Term 2

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Sleep apnea is a disorder characterized by pauses in breathing during sleep. Children who suffer from untreated sleep apnea often have behavior problems, including hyperactivity, inattention, and aggression. A common treatment for pediatric sleep apnea is the surgical removal enlarged tonsils and adenoids that are obstructing the airways. Suppose researchers at a sleep clinic are interested in the effect of surgical treatment for pediatric sleep apnea on hyperactive behavior. They study nine children without sleep apnea, nine children with untreated sleep apnea, and nine children who have been surgically treated for sleep apnea. Hyperactivity is measured using the Conners Rating Scales. The sample means and sums of squares of the scores for each of the three groups are presented in the following table. Group Sample Mean Sum of Squares No Sleep Apnea 0.27 0.1568 Untreated Sleep Apnea 0.54 0.2592 Treated Sleep Apnea 0.32 0.1800 The researchers perform an analysis of variance (ANOVA) at a = 0.01 to test the hypothesis that the treatment means are equal. The results are presented in the following ANOVA table. ANOVA Table Source of Variation Sum of Squares Degrees of Freedom Mean Square Between Treatments 0.3714 2 0.1857 7.49 Within Treatments 0.5960 24 0.0248 Total 0.9674 26 The ANOVA yielded a significant F statistic, so the null hypothesis is rejected. Since there are more than two groups, the researchers are interested in determining which groups are different. The Tukey's Honestly Significant Difference (HSD) test will be used to evaluate the pairs. First, use the table given below to determine the appropriate value of q at a = 0.01. The q value for this problem is The Studentized Range Statistic (q) df for Error Term 2 3 20 2.95 3.58
Transcribed Image Text:Sleep apnea is a disorder characterized by pauses in breathing during sleep. Children who suffer from untreated sleep apnea often have behavior problems, including hyperactivity, inattention, and aggression. A common treatment for pediatric sleep apnea is the surgical removal enlarged tonsils and adenoids that are obstructing the airways. Suppose researchers at a sleep clinic are interested in the effect of surgical treatment for pediatric sleep apnea on hyperactive behavior. They study nine children without sleep apnea, nine children with untreated sleep apnea, and nine children who have been surgically treated for sleep apnea. Hyperactivity is measured using the Conners Rating Scales. The sample means and sums of squares of the scores for each of the three groups are presented in the following table. Group Sample Mean Sum of Squares No Sleep Apnea 0.27 0.1568 Untreated Sleep Apnea 0.54 0.2592 Treated Sleep Apnea 0.32 0.1800 The researchers perform an analysis of variance (ANOVA) at a = 0.01 to test the hypothesis that the treatment means are equal. The results are presented in the following ANOVA table. ANOVA Table Source of Variation Sum of Squares Degrees of Freedom Mean Square Between Treatments 0.3714 2 0.1857 7.49 Within Treatments 0.5960 24 0.0248 Total 0.9674 26 The ANOVA yielded a significant F statistic, so the null hypothesis is rejected. Since there are more than two groups, the researchers are interested in determining which groups are different. The Tukey's Honestly Significant Difference (HSD) test will be used to evaluate the pairs. First, use the table given below to determine the appropriate value of q at a = 0.01. The q value for this problem is The Studentized Range Statistic (q) df for Error Term 2 3 20 2.95 3.58
The ANOVA yielded a significant F statistic, so the null hypothesis is rejected. Since there are more than two groups, the researchers are interested in determining which groups are difrrerent. The Tukey's Honestly Significant Difference (HSD) test will be used to evaluate the pairs. First, use the table given below to determine the appropriate value of g at a = 0.01. The g value for this problem is The Studentized Range Statistic (q) df for Error Term 2 3 20 2.95 3.58 4.02 4.64 24 2.92 3.53 3.96 4.55 30 2.89 3.49 3.89 4.45 40 2.86 3.44 3.82 4.37 60 2.83 3.40 3.76 4.28 The top value is a = .05; the bottom (bold) value is a = .01. The number of treatments is listed across. The df for the error term is in the left column, where the "error term" is another name for the within-treatments variance. Now, use the q value to calculate Tukey's HSD. Tukey's HSD is Thus, the mean difference between any two samples must be at least - to be significant. The researchers - conclude that the population means for children without sleep apnea and children with untreated sleep apnea differ. They conclude that the population means for children without sleep apnea and children with treated sleep apnea differ. They conclude that the population means for children with untreated sleep apnea and children with treated sleep apnea differ.
Transcribed Image Text:The ANOVA yielded a significant F statistic, so the null hypothesis is rejected. Since there are more than two groups, the researchers are interested in determining which groups are difrrerent. The Tukey's Honestly Significant Difference (HSD) test will be used to evaluate the pairs. First, use the table given below to determine the appropriate value of g at a = 0.01. The g value for this problem is The Studentized Range Statistic (q) df for Error Term 2 3 20 2.95 3.58 4.02 4.64 24 2.92 3.53 3.96 4.55 30 2.89 3.49 3.89 4.45 40 2.86 3.44 3.82 4.37 60 2.83 3.40 3.76 4.28 The top value is a = .05; the bottom (bold) value is a = .01. The number of treatments is listed across. The df for the error term is in the left column, where the "error term" is another name for the within-treatments variance. Now, use the q value to calculate Tukey's HSD. Tukey's HSD is Thus, the mean difference between any two samples must be at least - to be significant. The researchers - conclude that the population means for children without sleep apnea and children with untreated sleep apnea differ. They conclude that the population means for children without sleep apnea and children with treated sleep apnea differ. They conclude that the population means for children with untreated sleep apnea and children with treated sleep apnea differ.
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