the confidence interval approach is the correct method by which to determine sample size. true false


  1. True.
    Confidence Interval:
    The mean of your estimate plus and minus the range of that estimate constitutes a confidence interval. Within a specific level of confidence, this is the range of values you anticipate your estimate to fall within if you repeat the test.
    In statistics, confidence is another word for probability. If you create a confidence interval, for instance, with a 95% level of confidence, you can be sure that 95 out of 100 times, the estimate will fall between the upper and lower values indicated by the confidence interval.
    Your desired confidence level is usually one minus the alpha (α) value you used in your statistical test:
                        Confidence level = 1 − α
    Learn more about The confidence interval approach here

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