The distribution A must has a smaller standard deviation. So, option C is correct.
What does "normal" describe in statistics?
Normal usually refers to the word "normal" in normal distribution.
The normal distribution is somewhat similar where the main observation (mean or its surrounding) occurs frequently and as we go far from mean, its chances decrease.
If we've got a normal distribution, then we can convert it to a standard normal distribution and its values will give us the z score.
If we have
[tex]X \sim N(\mu, \sigma)[/tex]
(X is following a normal distribution with mean and standard deviation )
then it can be converted to a standard normal distribution as
[tex]Z = \dfrac{X - \mu}{\sigma}, \\\\Z \sim N(0,1)[/tex]
Normal curve A has a wider distribution than Normal curve B.
The distribution A must has a smaller standard deviation.
Learn more about normal distribution here:
https://brainly.com/question/15395456
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