Respuesta :
Using the coefficient of variation, it is found that the correct option is:
a. Sample 2 has more variability than sample 1.
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The coefficient of variation for a distribution with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex] is given by:
[tex]cv = \frac{\sigma}{\mu}[/tex]
- The higher the coefficient, the more variability is there in the distribution.
For Sample 1, [tex]\mu = 105, \sigma = 15[/tex], thus:
[tex]cv = \frac{15}{105} = 0.143[/tex]
For Sample 2, [tex]\mu = 100, \sigma = 22[/tex], thus:
[tex]cv = \frac{22}{100} = 0.22[/tex]
Due to the higher coefficient, Sample 2 has more variability, which means that option a is correct.
A similar problem is given at https://brainly.com/question/21304355