Ask Question
19 October, 05:27

Find the margin of error for a 95% confidence interval for estimating the population mean when the sample standard deviation equals 100 , with a sample size of (i) 484 and (ii) 1764. What is the effect of the sample size?

+3
Answers (1)
  1. 19 October, 06:18
    0
    Answer: i) M. E = 1.96*100/√484

    M. E = 8.91

    ii) M. E = 1.96*100/√1764

    M. E = 4.67

    Therefore, the margin of error decreases as the sample size increases.

    Step-by-step explanation:

    Margin of error in statistics can be defined as a small amount that is allowed for in case of miscalculation or change of circumstances.

    For a statistical data margin of error can be expressed as;

    M. E = zr/√n

    Given that;

    Standard deviation r = 100

    Confidence interval = 95%

    sample size n1 = 484, n2 = 1764

    Z (at 95% confidence interval) = 1.96

    i) M. E = 1.96*100/√484

    M. E = 8.91

    ii) M. E = 1.96*100/√1764

    M. E = 4.67

    Therefore, the margin of error decreases as the sample size increases.
Know the Answer?
Not Sure About the Answer?
Find an answer to your question ✅ “Find the margin of error for a 95% confidence interval for estimating the population mean when the sample standard deviation equals 100 , ...” in 📘 Mathematics if you're in doubt about the correctness of the answers or there's no answer, then try to use the smart search and find answers to the similar questions.
Search for Other Answers