1)An educational psychologist wants to use association analysis to analyze test results. The test consists of 100 questions with four possible answers each.

(a)How would you convert this data into a form suitable for association analysis?

(b)In particular, what type of attributes would you have and how many of them are there?

2)Which of the following quantities is likely to show more temporal autocorrelation: daily rainfall or daily temperature? Why?

3)Many sciences rely on observation instead of (or in addition to) designed experiments. Compare the data quality issues involved in observational science with those of experimental science and data mining.

4)For the following vectors, x and y, calculate the indicated similarity or distance measures.

a. (a) x : (0,0,1,1), y : (2,2,2,2) cosine, correlation, Euclidean

b. (b) x : (0,1,0,1), y : (0,1,0,1) cosine, correlation, Euclidean, Jaccard

c. (c) x : (1,1,0,1), y : (-1,0,-1,0) cosine, correlation, Euclidean

d. (d) x : (1,0,0,1,0,1), y : (0,1,1,0,0,1) cosine, correlation, Jaccard

e. (e) x : (2,1,0,2,0,3), y : (1,1,1,0,0,1) cosine, correlation

5)This exercise compares and contrasts some similarity and distance measures. For binary data, the L1 distance corresponds to the Hamming distance; that is, the number of bits that are different between two binary vectors. The Jaccard similarity is a measure of the similarity between two binary vectors. Compute the Hamming distance and the Jaccard similarity between the following two binary vectors.

x: 0111010101

y : 0110011010