Preliminary data analyses and other information indicate that you can reasonably assume that, in Exercises 11.63–11.68, the variable under consideration is
11.66 Stuttering. Researchers S. Reilly et al. studied the indicators of stuttering onset and the potential effects that stuttering may have on a child in the article “Natural History of Stuttering to 4 Years of Age: A Prospective Community-Based Study” (Pediatrics, Vol. 132, Issue 3, pp. 460–467). The following table provides the scores on the Communication and Symbolic Behavior Scale (CSBS), an assessment tool used to identify communication disorders, for random samples of stuttering and nonstuttering children.
At the 10% significance level, do the data provide sufficient evidence to conclude that, in this age group, there is more variation in CSBS scores for stutterers than for nonstutterers? (Note: s1 = 17.326 and s2 = 15.745.)
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Introductory Statistics (10th Edition)
- A researcher believes that if students experience a particular form of positive coaching, then they will be more likely to plan to continue with university preparation studies. Use the data below and Excel's ANOVA testing with α=0.02α=0.02 to test the relevant hypotheses. Control:No Coaching Treatment:Positive Coaching Year 7 62.544.753.654.252.660.754.0 62.150.853.757.757.153.658.9 Year 10 55.949.754.753.656.351.951.6 58.962.176.658.957.075.661.5 ( 1a ) What is the F value for the treatment effect? (Report answer accurate to 2 decimal place.)( 1b ) What is the p-value for the F value for the treatment effect? (Report answer accurate to 4 decimal places.) ( 2a ) What is the F value for the school-year effect? (Report answer accurate to 2 decimal place.)( 2b ) What is the p-value for the F value for the school-year effect? (Report answer accurate to 4 decimal places.)( 3a ) What is the F value for the interaction effect? (Report answer accurate to…arrow_forwardConsidering a treadmill test given to patients being tested for high blood pressure, male patients took their pulse rates before and after running for 5 min. Subject 1 2 3 4 5 6 7 8 9 10 Pulse before 64 100 85 60 92 85 68 85 85 68 Pulse after 68 115 84 68 105 92 72 88 80 92 Using a 0.05 significance level, perform the 8-step hypothesis test to test the claim that the mean difference between the pulse rates before and after the run is significantly zero. Based on the result, do the male pulse rates taken before and after running appear to be about the same or not?arrow_forwardAn independent-measures research study uses a total of 40 participants to compare two treatment conditions. What is the df value for the t statistic computed for the corresponding hypothesis test?arrow_forward
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- A market research firm used a sample of individuals to rate the purchase potential of a particular product before and after the individuals saw a new television commercial about the product. The purchase potential ratings were based on a 0 to 10 scale, with higher values indicating a higher purchase potential. The null hypothesis stated that the mean rating "after" would be less than or equal to the mean rating "before." Rejection of this hypothesis would show that the commercial improved the mean purchase potential rating. Use = .05 and the following data to test the hypothesis and comment on the value of the commercial. Purchase Rating Purchase Rating Individual After Before Individual After Before 1 6 6 5 3 4 2 6 5 6 8 7 3 8 8 7 6 6 4 5 4 8 6 6 What are the hypotheses?H0: d is Selectgreater than or equal to 0greater than 0less than or equal to 0less than 0equal to 0not equal to 0Item 1 Ha: d is Selectgreater than or equal to 0greater than 0less than or equal to…arrow_forwardA market research firm used a sample of individuals to rate the purchase potential of a particular product before and after the individuals saw a new television commercial about the product. The purchase potential ratings were based on a 0 to 10 scale, with higher values indicating a higher purchase potential. The null hypothesis stated that the mean rating "after" would be less than or equal to the mean rating "before." Rejection of this hypothesis would show that the commercial improved the mean purchase potential rating. Use = .05 and the following data to test the hypothesis and comment on the value of the commercial. Purchase Rating Purchase Rating Individual After Before Individual After Before 1 6 5 5 3 5 2 6 4 6 9 8 3 7 7 7 7 5 4 4 3 8 6 6arrow_forwardA market research firm used a sample of individuals to rate the purchase potential of a particular product before and after the individuals saw a new television commercial about the product. The purchase potential ratings were based on a 0 to 10 scale, with higher values indicating a higher purchase potential. The null hypothesis stated that the mean rating “after”would be less than or equal to the mean rating “before.” Rejection of this hypothesis would show that the commercial improved the mean purchase potential rating. Use α = .05 and the following data to test the hypothesis and comment on the value of the commercial.arrow_forward
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