Short Answer
To determine the sample size for a 99% confidence level with a 5% margin of error, first, identify the necessary parameters: Z critical value of 2.58 and assume a proportion of 0.5. Using the sample size formula, the calculated sample size is 665.64, rounded to 700 consumers for accurate survey results.
Step 1: Understand the Confidence Level and Margin of Error
Before calculating the sample size, it’s crucial to know the desired confidence level and margin of error (ME). In this case, we’re looking for a 99% confidence level with a margin of error of 0.05. This means that the results of the survey should be accurate within 5% of the true population value at a confidence level of 99%, ensuring high reliability in the data collected.
Step 2: Use the Sample Size Formula
To find the sample size, apply the formula: n = (Z critical / ME)² * p(1 – p). The Z critical value for a 99% confidence level is 2.58. Since we don’t have a proportion provided, we assume it as 50% (0.5) for maximum variability. This is essential for determining the largest sample size needed, thereby ensuring that our estimate is robust.
- Set Z critical = 2.58
- Set ME = 0.05
- Assume p = 0.5
Step 3: Calculate and Round the Sample Size
Now, plug the values into the formula. You calculate as follows: (2.58 / 0.05)² * 0.5(1 – 0.5) = 665.64. After calculating, round this value to the nearest hundred for practical purposes. Hence, the smallest number of consumers that Timex can survey is 700 to meet the criteria of the margin of error and confidence level.