ata Analysis
A. Graphs: use graphical displays to examine the data.
1. One graph that gives a sense of the potential relationship between the two variables that form your chosen health question. Include the graph and discuss why you selected it as opposed to others.
What is your health (research) question?
To what extent does gender influence the length of hospital stays for MI patients?
What are the corresponding null and alternative hypotheses?
Women los is longer than men due to MI. Men los is longer than women due to MI.
List the descriptive statistics you will compute, using which variable(s), to help answer your health question.
Histogram, dotplot, and 2 sample t hypothesis test
What is the name of the statistical test you will use to test your hypothesis and answer your health question?
Two sample t-test
What is the formula for your chosen statistical test?
H0: ?1 = ?2 H1: ?1 ? ?2
Why is the statistical test you chose appropriate to answer your health question?
The statistical test I chose is appropriate because it allows two different groups to be compared and tested. It tells you if there's a difference between two population groups.
Which graph(s) (histogram, stem and leaf, boxplot, bar graph, scatterplot) will you use to visualize the answer to your health question?
Be specific and include which variables will be used and if the graph will be created for different subgroups of subjects.
- Histogram
- Dot plot
- Two sample t-test
10) In a Randomized Complete Block Design one of the two factors in the analysis is an extraneous variable (we are not directly interested in it) that is called a block. Explain the goal of including the extraneous variable in the analysis.2. Steps in empirical economic analysis Use the following table to indicate the correctly ordered steps in conducting an empirical economic analysis to test an economic theory. Steps 1. Formulate the question of interest 2. Specify an econometric model 3. Construct a formal or informal economic model 4. Estimate model parameters using econometric methods 5. Collect data 6. State hypothesis in terms of model parameters In an empirical economic analysis, how does the econometric model relate to the economic model? Check all that apply. The economic theory is used to choose the variables in the economic model but not the variables in the econometric model. The econometric model attempts to account for the variables in the economic model that cannot be reasonably observed. The econometric model imposes a functional form on the more generally specified economic model. The econometric model is identical to the economic model.dy dx y(0) = 1 a) (5pts) Determine the solution of the above equation analytically b) (20 pts) Use Runge-Kutta second order Heun's method to solve the given equation over the interval [0, 12] with step size of h = 2 3 I X2 x2 S U a) y = b) Runge kutta Xi Yi ( True Value) Yi ( Runge Kutta) Error1. When survey data indicated that a company needed to improve its package-sealing process, an experiment was conducted to determine the factors in the bag-sealing equipment that might be affecting the ease of opening the bags without tearing the inner liner of the bag. Data were collected on 19 bags and the plate gap on the bag-sealing equipment was used to predict the tear rating of a bag. (choose one choice) a) Is it necessary to compute the Durbin-Watson statistic in this case? A. Yes, it is always necessary to compute the Durbin-Watson statistic B. Yes, because the number of observations is sufficiently small that autocorrelation is a concern. C. No, because the data were not collected over time D. No, because the number of observations is sufficiently small that autocorrelation is not a concern. b) Under what circumstances is it necessary to compute the Durbin-Watson statistic before proceeding with the least-squares method of regression analysis? A. It is always necessary to compute the Durbin-Watson statistic. B. If a larger number of bags had been selected, it would be necessary to compute the Durbin- Watson statistic. C. If the survey involved collecting data over time, it would be necessary to compute the Durbin- Watson statistic D. If fewer bags had been selected, it would be necessary to compute the Durbin-Watson statistic