Statistics: Point Estimate vs. Confidence Interval
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Questions and Answers

What is the difference between a point estimate and a confidence interval estimate?

  • A confidence interval is an interval estimate. (correct)
  • A point estimate is an interval estimate.
  • A confidence interval is a single point.
  • A point estimate is a single point. (correct)
  • What is a point estimate?

    A single point representing a population parameter.

    What is a confidence interval?

    An interval estimate that provides a range of values.

    How is a confidence interval constructed for a single population mean using z distribution?

    <p>By using the z distribution table and knowledge of the standard error.</p> Signup and view all the answers

    What value is typically used to interpret the confidence interval with z distribution?

    <p>1.96</p> Signup and view all the answers

    Study Notes

    Point Estimate vs. Confidence Interval Estimate

    • A point estimate provides a single value as an estimate of a population parameter.
    • A confidence interval estimate offers a range of values that likely contain the population parameter, reflecting uncertainty.

    Confidence Interval for Population Mean

    • Use the z distribution when the population standard deviation is known.
    • Utilize z tables to find critical values; for a 95% confidence level, use a critical value of approximately 1.96.
    • The formula involves the sample mean, the critical z value, and the standard error, which is calculated from the standard deviation divided by the square root of the sample size.
    • For example, if the interval is constructed with a confidence level of 95%, and the calculated value is ±1.96 standard errors from the mean, this defines the range of the confidence interval.

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    Description

    This quiz covers the concepts of point estimates and confidence intervals in statistics. Learn how to differentiate between a single-value estimate and a range that reflects uncertainty regarding population parameters. Practice using z distributions and critical values to calculate confidence intervals for the population mean.

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