Statistics Essay Example | Topics and Well Written Essays - 750 words - 2

Statistics - Essay prototype2. You wish to estimate the weight of the students at EKU. Using the question 2 data, calculate your sample reckon to the nearest tenth of a pound. Use that estimate to construct 95% confidence interval for the sure fair if you know that the quantity deviation of the community is 2.3 pounds. Construct 95% confidence interval if you do not know the true standard deviation. Comment on why those confidence intervals are different. twain confidence intervals are meagerly different because one is computed based on known population standard deviation, and z distribution and other is calculated based on sample standard deviation, s and t distribution. The t distribution has slightly broader tails then z distribution, therefore, the confidence interval is also slightly wider as compared to z distribution.3. The average height in the United States for men is 69.3 inches. The standard deviation for the population of the men in the US is 3.4 inches. You measu re a sample of people from Richmond and find that the average of these 16 men is 71.4 inches with a sample standard deviation of 4.8 inches. Assume all testing is for 95% confidence.4. We wish to compare the weights of the people of Richmond, Kentucky with those of Lexington, Kentucky. We do not know the standard deviation for the population as a whole and we cannot assume that the unknown sigma is the same for individually city. We take a sample from each city and the results are as followsAll the three beats are statistically significant and also, In model 3, individually, Parents income and Years of education significantly predicts persons annual income . However, the adjusted R2 measure for the model 3 is highest of all the regression models. Therefore, the best model is given byAdjusted R2 is a measure of Goodness-of-fit and penalizes the R2 for adding additional explanatory variables. The higher the value of adjusted R2,