Here is a sample of amounts of weight change (kg) of college students in their freshman year: 14, 2, -2, -3, where -3 represents a loss of 3 kg and positive values represent weight gained. Here are ten bootstrap samples: {14, 14, 14, -2}, {14, – 3, -2, 14}, {14, - 3, 2, – 2}, {2, -3, - 2, 14}, {-2, - 2, – 2, 2}, {2, -3, 2, - 3}. {14, 2, – 3, -2}, { – 3, 2, – 3, 2}, {-3, -2, -3, 2}, {2, 14, 14, 14}. Complete parts (a) and (b) below. a. Using only the ten given bootstrap samples, construct an 80% confidence interval estimate of the mean weight change for the population. |kg < µ < (Round to one decimal place as needed.) kg

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Here is a sample of amounts of weight change (kg) of college students in their freshman year:
14, 2, -2, -3, where -3 represents a loss of 3 kg and positive values represent weight gained.
Here are ten bootstrap samples: (14, 14, 14, -2}, (14, - 3, -2, 14), {14, -3, 2, - 2),
{2, -3, -2, 14}, {-2, - 2, -2, 2}, (2, -3, 2, - 3),. {14, 2, -3, -2}, { – 3, 2, - 3, 2},
{- 3, - 2, - 3, 2}, {2, 14, 14, 14}. O Complete parts (a) and (b) below.
a. Using only the ten given bootstrap samples, construct an 80% confidence interval estimate of
the mean weight change for the population.
|kg < µ< |
(Round to one decimal place as needed.)
kg
Transcribed Image Text:Here is a sample of amounts of weight change (kg) of college students in their freshman year: 14, 2, -2, -3, where -3 represents a loss of 3 kg and positive values represent weight gained. Here are ten bootstrap samples: (14, 14, 14, -2}, (14, - 3, -2, 14), {14, -3, 2, - 2), {2, -3, -2, 14}, {-2, - 2, -2, 2}, (2, -3, 2, - 3),. {14, 2, -3, -2}, { – 3, 2, - 3, 2}, {- 3, - 2, - 3, 2}, {2, 14, 14, 14}. O Complete parts (a) and (b) below. a. Using only the ten given bootstrap samples, construct an 80% confidence interval estimate of the mean weight change for the population. |kg < µ< | (Round to one decimal place as needed.) kg
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