Please complete attached exercises.   Please note the following definitions of the abbreviations in the worksheet.  You may utilize the required text:  Pallant, J.  (2007). SPSS Survival Manual, 3rd ed ., New York, NY:  MacGraw-Hill, to assist you in completion of this assignment.

DyspLN = dyspnea duration log transformed

DOE_LN = dyspnea on exertion log transformed

HFSPS = heart failure somatic perception scale measuring perceived symptom distress. Higher scores indicate higher symptom distress

Correlation

1. What is the relationship between dyspnea on exertion and emotional factors (anxiety, control, embarrassment, fear)?
   1a. What are the r values for each relationship above?
   1b. What are the p values (significance) for each relationship? Based on these values, what do you conclude about the relationship of these variables?
   t-test
2. What variable is presented in this table?
   2a. What are the mean values for this variable? Are they statistically different?
   2b. t-Test - Is there a difference in symptom distress (HFSPSTOT) based on gender?
   2c. What does the Levene’s Test indicate?
   ANOVA
3. This table presents data comparing symptom distress (HFSPSTOT – the higher the number, the more distress) and functional performance rated 1 to 4 (the higher the number, the lower the function). Describe the mean scores with regards to functional performance.
   3a. One way Anova - Is there a significant difference in mean symptom distress score (HFSPSTOT) based on functional performance class (Specific activity scale)? Explain your answer.
   REGRESSION
4. Regression – What factors predict duration of dyspnea in elders with heart failure?
   Note: gender is coded 0 = male, 1 = female (Hint: To answer this question, examine the coefficients table)
5. What percent variance in dyspnea duration is explained by this model? (Hint: To answer this question, examine the model summary table)
   1. Complete the following questions related to screening.

1. Your screening facility can process 1000 patients per week. If you are attempting the early detection of a disease with a prevalence of 2%, and you test has a sensitivity of 95% and a specificity of 90% how many of the people screened in a week will test positive?
2. Of these people testing positive, in how many will the results be truly positive and in how many will they be falsely positive?
3. What is the predictive value of a positive test?

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