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3. Determine if there are any relationships between buying patterns and web site usage patterns. All those working on the project as well as other interested parties should have a clear understanding of what problems are to be addressed. It should also be possible to answer each problem using the data. To make this assessment, it is important to understand what the collection of all possible observations that would answer the question would look like or population. For example, when the question is how America will vote in the upcoming presidential election, then the entire population is all eligible American voters. Any data to be used in the project should be representative of the population. If the problems cannot be answered with the available data, a plan describing how this data will be acquired should be developed.

Patient data was collected concerning the diagnosis of cold or u (Table 6.21). 1. Calculate the Euclidean distance (replacing None with 0, Mild with 1 and Severe with 2) using the variables: Fever, Headaches, General aches, Weakness, Exhaustion, Stuffy nose, Sneezing, Sore throat, Chest discomfort, for the following pairs of patient observations from Table 6.21: a. 1326 and 398 b. 1326 and 1234 c. 6377 and 2662 2. The patient observations described in Table 6.21 are being clustered using agglomerative hierarchical clustering. The Euclidean distance is used to calculate the distance between observations using the following variables: Fever, Headaches, General aches, Weakness, Exhaustion, Stuffy nose, Sneezing, Sore throat, Chest discomfort (replacing None with 0, Mild with 1 and Severe with 2). The average linkage joining rule is being used to create the hierarchical clusters. During the clustering process observations 6377 and 2662 are already grouped together. Calculate the distance from observation 398 to this group. 3. A candidate rule has been extracted using the associative rule method from Table 6.1: If Exhaustion None AND Stuffy node Severe THEN Diagnosis cold Calculate the support, con dence, and lift for this rule. 4. Table 6.21 is to be used to build a decision tree to classify whether a patient has a cold or u. As part of this process the Fever column is being considered as a splitting point. Two potential splitting values are being considered: a. Where the data is divided into two sets where (1) Fever is none and (2) Fever is mild and severe. b. Where the data is divided into two sets where (1) Fever is severe and (2) Fever is none and mild. Calculate, using the entropy impurity calculation, the gain for each of these splits.

New York: Springer Thompson, M E (1997) Theory of Sample Surveys London: Chapman & Hall Thompson, M E and Pantoja Galicia, N (2003) Interval censoring of smoking cessation in the National Population Health Survey Proceedings of Statistics Canada Symposium 2002: Modelling Survey Data for Social and Economic Research Ottawa: Statistics Canada Tourangeau, R, Rips, L J and Rasinski, K (2000) The Psychology of Survey Response New York: Cambridge University Press Turnbull, B W (1976) The empirical distribution function with arbitrarily grouped, censored and truncated data Journal of the Royal Statistical Society Series B, 38, 290 295 Wand, M and Jones, M (1995) Kernel Smoothing London: Chapman & Hall Wolter, K (1985) Introduction to Variance Estimation New York: Springer Verlag Wong, G and Yu, Q (1999) Generalized mle of a joint distribution function with multivariate interval censored data Journal of Multivariate Analysis, 69, 155 166 Yeung, W J.

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and Hofferth, S L (1998) Family adaptations to income and job loss in the US Journal of Family and Economic Issues, 19, 255 283 Yung, W (1997) Variance estimation for public use files under confidentiality constraints In Proceedings of the American Statistical Association, Section on Survey Research Methods (pp 434 439) Washington, DC: American Statistical Association..

and makes sense because the MVNO brand is typically larger than the device brand. Customers are attracted to MVNOs based on a promised specialized experience, which is not going to be had as easily with an off-the-shelf Nokia phone. The special handsets can then be used as status symbols, as they give the person a visible membership in a special club.

<tr> <th align= left width= 275 >Payee Name</th> <th align= left width= 128 >Date To Send</th> <th align= left width= 128 >Amount</th> <tr>

ResultSet rs = .... if(rs.getCurrency() != ResultSet.CONCUR_UPDATABLE) { System.err.println("Error, can't add consistency info"); return; } while(rs.next()) { int prod_id = rs.getColumn("id"); if(external_source.contains(prod_id)) external_source.remove(prod_id); } if(external_source.size() != 0) { rs.moveToInsertRow(); while(external_source.hasMoreItems()) { ProductInfo info = external_source.nextItem(); rs.updateInt("id", external_source.getId()); ... rs.insertRow(); } rs.moveToCurrentRow(); }

Similarly, the following syntax is used to declare a method in JSP: