a) ∑x = 568
∑x² = 32300.29
n = 10
Mean , x̅ = Ʃx/n = 568/10 = 56.8
Standard deviation, s = √[(Ʃx² - (Ʃx)²/n)/(n-1)] = √[(32300.2928-(568)²/10)/(10-1)] = 2.0519
Point Estimate of µ = 56.8
Point Estimate of σ = √(s²/n) = √(4.2103/10) = 0.6489
b)
95% Confidence interval :
At α = 0.05 and df = n-1 = 9, two tailed critical value, t-crit = T.INV.2T(0.05, 9) = 2.262
Lower Bound = x̅ - t-crit*s/√n = 56.8 - 2.262 * 2.0519/√10 = 55.3322
Upper Bound = x̅ + t-crit*s/√n = 56.8 + 2.262 * 2.0519/√10 = 58.2678
55.332 < µ < 58.268
c)
σ = 2
95% Confidence interval :
At α = 0.05 two tailed critical value, z_c = ABS(NORM.S.INV(0.05/2)) = 1.960
Lower Bound = x̅ - z_c*σ/√n = 56.8 - 1.96 * 2/√10 = 55.560
Upper Bound = x̅ + z_c*σ/√n = 56.8 + 1.96 * 2/√10 = 58.040
55.560 < µ < 58.040
We can be 95% confident that the mean is between 55.560 and 58.040
Problem 5: 17 points) Let X equal the weight in grams of a 52 gram snack...
Problem 5: [7 points) Let X equal the weight in grams of a 52-gram snack pack of candies. Assume that the distribution of X is N(41, O2). A random sample of n = 10 observations of X yield the following data: 55.95, 56.54, 57.58, 55.13, 57.48, 56.06, 59.93, 58.3, 52.57, 58.46. (a) Give a point estimate of Ji and o based on the data. [3] (b) Find the endpoints of a 95% confidence interval for J. [2] (c) Suppose now...
Problem 5: 17 points) Let X equal the weight in grams of a 52-gram snack pack of candies. Assume that the distribution of X is N(2,0?). A random sample of n = 10 observations of X yield the following data: 55.95, 56.54, 57,58, 55.13, 57.48, 56.06, 59.93, 58.3, 52.57, 58.46. (a) Give a point estimate of and a based on the data. [3] (b) Find the endpoints of a 95% confidence interval for . (2) (e) Suppose now that X...