Final answer:
To estimate the population standard deviation from a sample, calculate the sample standard deviation using the sample data by finding the mean, deviations, squared deviations, variance, and then take the square root of the variance. Round the final result to three decimal places to get the point estimate.
Step-by-step explanation:
To give a point estimate for the population standard deviation, we first need to calculate the sample standard deviation and then use it as our best estimate for the population standard deviation. The steps for calculating the sample standard deviation are as follows:
- Calculate the sample mean (average).
- Subtract the sample mean from each measurement to find the deviation of each measurement.
- Square each deviation to get the squared deviations.
- Sum up all the squared deviations.
- Divide the sum by the sample size minus one (n-1) to get the variance.
- Take the square root of the variance to find the sample standard deviation.
Now, let's calculate it for the given data of cardstock thicknesses: 2.88, 2.91, 2.97, 2.97, 2.92, 2.87.
- Sample mean: (2.88+2.91+2.97+2.97+2.92+2.87) / 6 = 17.52 / 6 = 2.92 mm
- Squared deviations: Sigma((x_i - mean)^2), for each thickness x_i.
- Sum of squared deviations: Sigma((x_i - 2.92)^2).
- Variance: (Sum of squared deviations) / (6-1).
- Sample standard deviation: sqrt(Variance).