Q 10

Question 10

Researchers conducted a study to examine the association of program delivery factors with weight loss (WL) in enrollees in iDiet , a commercial WL program. Data were collected on 644 adults enrolled in an 11-week group WL program, of whom 461 reported weight to 11 weeks (complete reporters). Predictors of %WL that were considered included meeting type (in-person vs. videoconference), participant type (worksite employees vs. community members), age, gender, BMI, and payment structure. Videoconference participants, older adults, and enrollees in incentivized programs were more likely to be complete reporters. %WL at 11 weeks was not associated with gender, starting BMI, or videoconference versus in-person groups. Worksite participants had greater %WL than community participants (p<0.001), and there was no significant difference in %WL between programs paid by the employee or employer. Greater %WL was achieved by individuals 30 versus < 30 years (p<0.001) and by those enrolling in January-March versus April-June (p=0.02). The researchers concluded that iDiet participants had clinically impactful mean WL. The observed high mean WL in worksites and videoconference-delivered programs broadens options for scalable WL program implementation. Considering the variables mentioned in this article, identify the most appropriate type of analysis that could have been used to make this conclusion by selecting one and only one of the following:

Select one:

a. Linear regression

b. One-way ANOVA

c. Two-way ANOVA

d. ANCOVA

e. Logistic regression

11.A dental researcher measured the percent calcium content of 6 healthy teeth and recorded the following values: 33.4, 36.2, 33.4, 34.8, 35.2, 35.5. What is the mean percent calcium content in this sample?

Select one:

a. 33.4

b. 34.1

c. 34.8

d. 35.0

e. 36.2

Q 12

Question 12

Another dental researcher measured the percent calcium content of 18 healthy teeth and calculated a sample of standard deviation 2.50. What is the sample variance?

Select one:

a. 0.14

b. 0.59

c. 1.58

d. 6.25

e. Cannot be determined without knowing the 18 values

Q 13

Question 13

Suppose you measure the blood pressure of 100 hypertensive males and find that they have a mean systolic blood pressure of 133 mm Hg with a variance of 16 mm Hg. You later discover that your blood pressure monitor was calibrated incorrectly. To adjust for this mistake, you subtract 5 mm Hg from each male's systolic blood pressure. What is the standard deviation of the new data shifted by 5 mmHg?

Select one:

a. 2

b. 11

c. 4

d. 20

e. Cannot be determined without knowing the raw data values for blood pressure

Q 14

Question 14

What is the value of the total area under an entire density curve?

Select one:

a. 0

b. Some number between 0 and 1

c. 1

d. Some number greater than 1

e. It depends on the distribution of the data.