Question

A research study tested the impact of a new weight loss pill by monitoring weight loss during a 2-year study period. The average participant weight 175 pounds at the beginning of the study. Which of the following findings would be BOTH clinically and statistically significant (alpha set at .05)?

a.

Average weight loss = 9.2 lbs, p= 0.27

b.

Average weight loss = 11.3 lbs, p= 0.42

c.

Average weight loss = 8.9 lbs, p = 0.04

Average weight loss = 0.03 lbs, p= 0.02

Researchers want to test whether or not dog owners walk more hours per week than non-dog owners. They conduct a study at the α = .05 level with 1,000 dog and non-dog owners and find a p value of .35. Based on this information what would your statistical conclusion be?

a.

We do not have enough evidence at the α = .05 level to conclude that dog owners walk more hours per week than non-dog owners

We do have enough evidence at the α = .05 level that dog owners walk more hours per week than non-dog owners

Which of the following are methods of establishing significance: (chose one or more

		compare alpha to beta
		compare p-value to alpha
		compare p-value to beta
		compare test statistic to critical value

Answer 1

1) for the first one: Average weight loss = 9.2 lbs, p= 0.27

here p value is greater than 0.05. so this is BOTH clinically and statistically significant.

for the second one: Average weight loss = 11.3 lbs, p= 0.42

here p value is greater than 0.05. so this is BOTH clinically and statistically significant.

for the third: Average weight loss = 8.9 lbs, p = 0.04

here p value is less than 0.05. so this is clinically significant but not statistically.

for the fourth: Average weight loss = 0.03 lbs, p= 0.02

so this is not clinically or statistically significant.

2) We do have enough evidence at the α = .05 level that dog owners walk more hours per week than non-dog owners.

we have to compare p-value to alpha.