An athletic trainer would like to estimate how many additional calories are burned when completing a high-intensity interval training (HIIT) workout for 30 minutes rather than doing yoga for 30 minutes. A group of 30 volunteers is randomly assigned to take a 30-minute HIIT class or a 30-minute yoga class, and each volunteer wears a calorie-counting armband. Here are summary statistics and dotplots of the results.
An athletic trainer would like to estimate how many additional calories are burned when completing a high-intensity interval training (HIIT) workout for 30 minutes rather than doing yoga for 30 minutes. A group of 30 volunteers is randomly assigned to take a 30-minute HIIT class or a 30-minute yoga class, and each volunteer wears a calorie-counting armband. Here are summary statistics and dotplots of the results.
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.2: Box-and-whisker Plots
Problem 1E
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An athletic trainer would like to estimate how many additional calories are burned when completing a high-intensity interval training (HIIT) workout for 30 minutes rather than doing yoga for 30 minutes. A group of 30 volunteers is randomly assigned to take a 30-minute HIIT class or a 30-minute yoga class, and each volunteer wears a calorie-counting armband. Here are summary statistics and dotplots of the results.
Are the conditions for inference met?
A)Yes, all three conditions for inference are met.
B) No, the random condition is not met for both samples.
C) No, the 10% condition is not met for both samples.
D) No, the Normal/large sample condition is not met for both samples.
Transcribed Image Text:Group Name
N
SD
min Q1 med
Q3
mean
max
1: HIIT
15
449.4
41.699
386
416
457
481
510
2: Yoga
15
265.333
44.657
182
231
270
310
325
HIIT
150
200
250
300
350
400
450
500
550
Yoga
150
200
250
300
350
400
450
500
550
of
00
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