The difference between a point estimate and an interval estimate

Using what you learned in this week's lessons, answer the following questions: What is the difference between a point estimate and an interval estimate? Give an example of each. Suppose the 95% confidence interval for a population mean is (56.56, 62.39), write a sentence interpreting this interval. What does the phrase “95% confidence” mean in this context? At a fixed confidence level, what effect will increasing the sample size have on the length of a confidence interval?

Sample Solution

       

Point Estimates vs. Interval Estimates

Point Estimate: A single value used to estimate a population parameter.  

  • Example: Using the sample mean (x̄) as a point estimate for the population mean (μ).

Full Answer Section

       

Interval Estimate: A range of values used to estimate a population parameter with a certain degree of confidence.  

  • Example: A 95% confidence interval for the population mean.

Interpreting the Confidence Interval

Interpretation: We are 95% confident that the true population mean lies between 56.56 and 62.39.

Meaning of "95% Confidence": If we were to take many samples and construct 95% confidence intervals for each sample, approximately 95% of those intervals would contain the true population mean.  

Effect of Sample Size on Confidence Interval

Increasing the sample size will decrease the length of the confidence interval at a fixed confidence level.  

This is because a larger sample size leads to a smaller standard error, which in turn reduces the margin of error.

A smaller margin of error results in a narrower confidence interval, providing a more precise estimate of the population parameter.  

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