The minimum sample size required to estimate a population proportion or percentage is 306.
In statistics, a simple random sample is a subset of individuals chosen from a larger set in which a subset of individuals are chosen randomly, all with the same probability. It is a process of selecting a sample in a random way.
In order to determine the minimum sample size required to estimate a population proportion or percentage, we will use the following formula:
n = (z×p×q)/m²
where is the minimum sample size, z is the z-score corresponding to the desired confidence level, p is the population proportion, q is 1-p, and m is the desired margin of error.
In this case, the confidence level is 95%, so the corresponding z-score is 1.96. Since we don't know the population proportion, we will use the symbol p and q to represent it. Therefore, the formula becomes:
n = (1.96×p×q)/(0.04)²
To determine the minimum sample size, we need to determine the value of p and q. Since p + q = 1, if we set p to 0.5, then q will also be 0.5. Therefore, the minimum sample size is:
n = (1.96×0.5×0.5)/(0.04)² = 306.25
≈ 306
Therefore, the minimum sample size required to estimate a population proportion or percentage is 306.
Learn more about the random sample here:
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2. Multiply -32 add -4
3.multiply -14 add -5
4. Multiply -24 add 5
Answer:
-3 + 8 = 5, -3 · 8 = -24
Hope this helps!!!
Step-by-step explanation:
4x² = 8x-7?