We have 95% confidence in our interval, instead of 100%,because we need to account for the fact that the sample may not be truly random.
As given in the question,
Percentage of confidence in our interval = 95%
Required percentage of confidence = 100%
From the given percentage
5% less the required percentage, which represents the sample may not be truly random
Therefore, we have 95% confidence in our interval, instead of 100%,because we need to account for the fact that the sample may not be truly random.
Learn more about interval here
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