A 95% confidence interval is calculated for a sample of weights of 100 randomly selected pigs and the resulting confidence interval is 42 to 48 pounds. Will the sample mean weight fall within the confidence interval?

A student was asked to find a 95% confidence interval for weight of their backpacks in pounds using data from a random sample of size n = 20. Which of the following is a correct interpretation of the interval 3.1 < μ < 8.6? Assume the population is normally distributed.With 95% confidence, the weight of a randomly selected backpack will be between 3.1 and 8.6 pounds.There is a 95% chance that the mean of a sample of 20 backpacks will weigh between 3.1 and 8.6 pounds.There is a 95% chance that the weight is between 3.1 and 8.6.With 95% confidence, the mean weight of all backpacks is between 3.1 and 8.6 pounds.The sample mean weight of all backpacks is between 3.1 and 8.6 pounds, 95% of the time. We know this is true because the mean of our sample is between 3.1 and 8.6.

A representative of a consumer advocacy group randomly selects 50 bags of a certain brand of chips and determines the net weight of each. He finds the mean of these selected bags to be 395 grams and the standard deviation to be 6.8 grams. Calculate a 90% confidence interval for the true mean of weight of chips. What is the lower limit of the interval?

Weights. I sample 7 random males in the US and record their weights in pounds. Some of their data are given below.149 178 202 206 213 220 252Find a 98% confidence interval for the mean weight of all US males. (Round to one decimal place)(,)

A student was asked to find a 95% confidence interval for widget width using data from a random sample of size n = 27. Which of the following is a correct interpretation of the interval 13.1 < μ < 25.9?Check all that are correct.There is a 95% chance that the mean of the population is between 13.1 and 25.9.With 95% confidence, the mean width of all widgets is between 13.1 and 25.9.With 95% confidence, the mean width of a randomly selected widget will be between 13.1 and 25.9.There is a 95% chance that the mean of a sample of 27 widgets will be between 13.1 and 25.9.The mean width of all widgets is between 13.1 and 25.9, 95% of the time. We know this is true because the mean of our sample is between 13.1 and 25.9.

A random sample of 12 items is taken and is found to have a meanweight of 50 grams and a standard deviation of 9 gramsWhat is the mean weight of population1. with 95% confidence2. with 99% confidence