Chapter 13, Problem 13.59CRP

Football coaches running their summer practices noticed that the players who weighed more typically had slower times for their 40-yard dash. What are the explanatory variable and response variable for this relationship? Explanatory variable: season Response variable: player weight Explanatory variable: season Response variable: player 40-yard-dash time Explanatory variable: player weight Response variable: player 40-yard-dash time Explanatory variable: player 40-yard-dash time Response variable: player weight

Because colas tend to replace healthier beverages and colas contain caffeine and phosphoric acid, researchers wanted to know whether cola consumption is associated with lower bone mineral density in women. The accompanying data lists the typical number of cans of cola consumed in a week and the femoral neck bone mineral density for a sample of 15 women. Complete parts (a) through (f) below. Click the icon to view the women's data. (a) Find the leas ŷ=x+ X (Round to four d Colas per Week and Bone Density colas per week 0 0 1 1 2 2 33556670 4 8 Bone Mineral Density (g/cm³) 0.908 0.896 0.887 0.877 0.866 0.850 0.829 0.836 0.815 0.800 0.795 0.773 0.771 0.760 0.735 X

Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. F-ratio: Low Moderate p-value: 2.2 3.1 0.6 2.6 0.5 0 High Moderate 1.5 2.1 3.3 2.3 2.1 4.6 Moderately Severe 2.7 4.7 4.7 4.6 3.7 3.3 From this table, conduct ANOVA. Calculate the F-ratio and p-value. Be sure to round your answers to three decimal places. Severe 3.8 2.4 5.3 4.7 4.2 4 What is your final conclusion? Use a significance level of a = 0.02. O There is sufficient evidence that there exists a significant difference between treatments. O There is not enough evidence to determine a difference…

Doctors are interested in the relationship between the dosage of a medicine and the time required for a patient's recovery. Table 2 shows, for a sample of 10 patients, dosage levels (in grams) and recovery times (in hours). These patients have similar characteristics except for medicine dosages. Table 2: Dosage Level and Recovery Time Patient Dosage Level Recovery Time 1 1.2 25 2 1.3 28 3 1.0 40 4 1.4 38 1.5 10 6. 1.8 9. 7 1.2 27 8. 1.3 30 9. 1.4 16 10 1.3 18 a. Estimate the linear regression of recovery time on dosage level. b. Compute R2 and interpret it. c. Perform an F test of goodness of fit at the 5% significance level.

If I studied the relationship between class size and student achievement, what kind of research design would I use?

How was relative risk calculated? Make a 2 by 2 table to display the data.

Air traffic controllers often experience a high degree of on-the-job stress. In an effort to help air traffic controllers cope with their stress, the impact of a relaxation exercise program was investigated. Thirty air traffic controllers were selected from some of the busiest airports in the country and were administered a scale measuring job-related stress (the scale ranged from 10 to 50, with higher scores indicating greater stress levels). Following the stress scale, the air traffic controllers were trained in a relaxation technique for four weeks and were then administered the job-stress scale a second time.Test statistic used: Dependent Sample t-Test Requirement: State the null and alternative hypothesis.

Identify the sample, the population, the statistic, and the parameter for the situation below A sample of 1200 college students in Connecticut indicated that 15% of them do not participate in extracurricular activities.

The Acme School of Locksmithing has been accredited for the past 15 years. Discuss how this information might be interpreted as a a. qualitative variable. b. quantitative variable.