Question: 1. If an analyst rejects the null hypothesis that a hospital's average length of stay (LOS) is less than or equal to a benchmark of
1. If an analyst rejects the null hypothesis that a hospital's average length of stay (LOS) is less than or equal to a benchmark of 3 days when the true population length of stay is 2.5 days, what type of error is committed? 2. If an analyst wishes to test a hypothesis and limit the Type I error to 0.05, which of the following p-values would result in rejecting the null hypothesis? 0.01, 0.06, .01, or 5 3. Patient gender is classified as what type of data? 4. If the health data analyst uses the information from figure 16.3 in your text to determine the audit sample size decided that conservative value would be appropriate to complete an audit with 95% confidence and 5% precision, what would be the required sample? 5. Which value best describes the center of distribution for a variable such as length of stay? 6. When describing the typical length of stay for patients admitted for CHF, which is the most appropriate measure of central tendency, given the following values for lengths of stay for 7 patients are: 3, 4, 5, 2, 3, 9, and 109? 7. An analyst provides a 95% confidence interval for the mean length of stay for hip replacement patients as 2.3-4.7 days. If the utilization review committee request a more precise or narrower interval, what is the best option for the analyst to pursue? 8. If a 95% confidence interval for the proportion of postoperative infections is (0.9%, 1.5%) what is the precision of that interval? 9. If the test statistic for testing the hypothesis that the readmission rate at General Hospital is different from zero is z=3.45, what would the conclusion of the test be at the 0.05 level? 10. If the correlation between patient lung volume level and BMI is 0.6, what should you conclude about the relationship between lung volume level and BMI? 11. Which statistic should a health data analyst recommend to a manager who would like to measure the relationship between length of stay and time to code a medical record? 12. If the coefficient of determination for the SLR model (Cost=1,500+300xLOS) is 0.8, how would you interpret the line? 13. If the SLR model is (Cost=1,500+300xLOS), how would you interpret the slope of the line? 14. If the SLR model is (Cost=1,500+300xLOS), how would you interpret the y-intercept of the line?
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