STATISTICAL TECHNIQUES AND TOOLS
CONFIDENCE INTERVALS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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True
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False
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Either A or B
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None of the above
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Detailed explanation-1: -False. To get higher confidence, we need to make the interval wider interval.
Detailed explanation-2: -As the confidence level increases the width of the confidence interval also increases. A larger confidence level increases the chance that the correct value will be found in the confidence interval. This means that the interval is larger.
Detailed explanation-3: -It is clear that as the sample size increases, the corresponding confidence interval decreases. A large sample size represents a population well. In any research study, therefore, large sample size is preferable. As a large sample size implies a smaller confidence interval, the preferable interval will be smaller.
Detailed explanation-4: -Confidence Intervals Depend on Sample Size The more data in your sample, the smaller your confidence interval. That’s because with more data, you have more chance of the sample being a pretty good match to the whole population and, therefore, of its mean being similar to the true population value.