Final answer:
To find the sample mean for which the p-value is equal to 0.05, calculate the z-score corresponding to the desired p-value and solve for the sample mean using the formula for the z-score.
In this case, the sample mean is approximately 1.921.
Step-by-step explanation:
To determine the sample mean, we assume the data is normally distributed, we can use the z-distribution.
The formula for the z-score is: z = (x - μ) / (σ / √n)
where x is the sample mean, μ is the population mean, σ is the population standard deviation, and n is the sample size.
In this case, the population mean is not given, so we'll assume it to be 0.
th a sample size of 20 and a sample standard deviation of 6, the z-score corresponding to a p-value of 0.05 is approximately 1.645.
Using the formula for the z-score, we can solve for the sample mean:
1.645 = (x - 0) / (6 / √20)
Simplifying the equation:
x = 1.645 * (6 / √20)
Rounding to 3 decimal places, the sample mean for which the p-value is equal to 0.05 is approximately 1.921.