Q.1 1. By doing assessment, it has identified that width of confidence interval (CI) decreases when sample size enhance. The main reason behind this is reduction in standard error which in turn places impact on CI. 2. In the case of 99% CI width would be wider in comparison to 95% confidence interval. Q.2 i. Distribution of X, female height is 100; n = 100 ii. Distribution of= 70cm Yes, relying on sample mean theorem; formal = A bell curve also known as normal distribution curve analyze data that looks like bell curve. Where the highest point shows highest probability of occurring the event and either sides decreases with occurrence. This bell curve shows average at the top, tallest height on the right side and shorter height on left side of the curve. This average is also known as mean height of the sample or population. Hence any variation in sample size could affect average mean and thus impact the size of bell curve. iii. 95% confidence level derives at 1.96; derived from the two tailed critical value table Confidence LevelsTwo – tailed critical value One-tailed upper critical value One-tailed lower critical value
90%1.6451.28-1.28 95%1.961.645-1.645 99%2.582.33-2.33 iv. Population mean =x̄± 1.96σ/Square root of√n x̄= sample mean height = 70 cm σ = Population standard deviation = 25cm √n= sample size square root =√100 Population mean (μ) =x̄± 1.96σ /√n = 70 + {1.96 (25)/√100} = 70 + 4.9 = 74.9 cm