“Eat For 10 Hours. Fast For 14. This Daily Habit Prompts Weight Loss, Study Finds” This is the title of an NPR article about a 2019 study that recruited 19 overweight adults diagnosed with metabolic syndrome (elevated blood sugar, elevated cholesterol levels, high blood pressure). Participants were asked to restrict any eating to a period of just 10 hours each day. The study found a statistically significant reduction in body weight after 12 weeks of this eating pattern.
1.
Define the parameter in this hypothesis test as a sentence in context.
[This essay question will be graded manually later.]
2.
The statement of a "statistically significant reduction in body weight" indicates that a [ a.) two-sample t test b.) matched-pairs t test c.)z test ]
on the data gave a [ a.) negative b.) large c.) small ]
P-value. This [ a.) does b.) does not ]
imply that the mean reduction in body weight was substantial.
3.
To be able to conclude that a time-restricted eating pattern causes a weight loss in this population on average, we would need to
a.)collect weight-loss data on all adults, not just adults with metabolic syndrome
b.)use a much larger sample than what this study used
c.)collect weight-loss data on the entire population of adults with metabolic syndrome
d.)make sure that the study found a very small P-value and check that the conditions for inference were all met
e.)find a significant weight-loss difference for participants that would be randomly assigned to time-restricted eating or regular eating
1.Define the parameter in this hypothesis test as a sentence in context.
Th researcher wants to test a statistically significant reduction in body weight after 12 weeks of this eating pattern.
So
we want to test that
2.b.) The statement of a "statistically significant reduction in body weight" indicates that a matched-pairs t test
on the data gave a c.) small P-value. This a.) does imply that the mean reduction in body weight was substantial.
3.To be able to conclude that a time-restricted eating pattern causes a weight loss in this population on average, we would need to
d.)make sure that the study found a very small P-value and check that the conditions for inference were all met
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