p | Margin of Error | n |
0.32 | 0.01 | |
0.32 | 0.02 | |
0.32 | 0.03 | |
0.32 | 0.04 | |
Write a formula in cell C2 to calculate the sample size needed to be 95% confident that the actual population proportion is within the 1% margin of error of the 32% sample proportion.
Then use the fill-down feature to complete column C. Note that the value in C4 gives the sample size needed to be 95% confident that the actual population proportion is within the 3% margin of error of the 32% sample proportion.
Suppose a new poll was conducted and it was reported that 25% of the sample responded in favor of a particular question and that this poll had a 3.5% margin of error with a 95% confidence level.
Complete cell A6 to indicate this sample proportion.
Complete cell B6 to indicate the margin of error.
Use the auto-fill feature to determine the needed sample size in cell C6 for this new poll.
Confidence Level, CL = 0.95
Significance level, α = 1 - CL = 0.05
Critical value, z = NORM.S.INV(0.05/2) = 1.96
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For cell C2:
Sample size, n = (z² * p * (1-p)) / E² = (1.96² * 0.32 * 0.68)/ 0.01²
= 8359.014 = 8360
For cell C3:
Sample size, n = (z² * p * (1-p)) / E² = (1.96² * 0.32 * 0.68)/ 0.02²
= 2089.7536 = 2090
For cell C4:
Sample size, n = (z² * p * (1-p)) / E² = (1.96² * 0.32 * 0.68)/ 0.03²
= 928.7794 = 929
For cell C5:
Sample size, n = (z² * p * (1-p)) / E² = (1.96² * 0.32 * 0.68)/ 0.04²
= 522.4384 = 523
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Cell A6: p = 0.25
Cell B6: E = 0.035
Cell C6:
Sample size, n = (z² * p * (1-p)) / E² = (1.96² * 0.25 * 0.75)/ 0.035²
= 587.9784 = 588
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