learn-us-east-1-prod-fleet02-xythos.content.blackboardcdn.com C PG G Homework Help - Q&A from Online Tutors - Course Hero Bb Final Exam - HSD 269 501 - Fundamentals of Biostatistics... Bb https://learn-us-east-1-prod-fleet02-xythos.content.blackboardcdn.c... + Final Exam 1. A clinical trial into the effectiveness of a new pain relief medication was carried out. A total of 1,500 people took part in the trial, with 500 of them being immunodeficient. Out of the immunodeficient people, only 150 of them exhibited side-effects, compared to 400 in the control group. Please complete the contingency table, given this information: Side-effects No side-effects Total Immunodeficient 150 500 Control Total 550 1500 2. What is the prevalence of side-effects in the immunodeficient group? a. 0.100 b. 0.300 c. 0.273 d. 0.333 3. What is the prevalence of side-effects in the control group? a. 0.727 b. 0.400 c. 0.267 d. 0.667 4. Which of the following values represents the relative risk of side-effects between the immunodeficient and control groups? a. 1.33 b. 0.429 c. 1.22 d. 0.750' 1 t = l U learn-us-east-1-prod-fleetO2-xythos.content,blackboardcdnLom 0' t o . r11 1 5. The Empirical rule states that _% of all data in under the normal curve is between plus or minus 1 standard deviation from the mean. 99.7% 2.5% 95% 68% 9.09\"!\" . Given that a population of scores is normally distributed with a mean of 100 and a standard deviation of 8, determine the Z score of X = 112. a. +1.5 b. 1.5 c. 99.5 d. 12 1 points 7. The standard error of the mean is best dened as the a. sum of squares of a sample divided by the appropriate degrees of freedom. b. error that occurs when a mean falls in the critical region of a hypothesis test. 0. z score of a mean. d. standard deviation of the sampling distribution of Xbar (sample mean). 8. When conducting a hypothesis test, Ha symbolizes the a. research hypothesis b. null hvnothesis ' U E learn-us-east-1-prod-eetO2-xythos.content.blackboardcdn.com C; \\ \\ . l 'l w. . When conducting a hypothesis test, Ha symbolizes the a. research hypothesis b. null hypothesis 0. power d. sample mean . Use the information provided here to answer the following questions. H0 : p 60, n = 36, Xbar = 58. Which of the following best characterizes this test? a. The information provided characterizes a one sample, two-sided test. b. The information provided characterizes a two sample, one-sided test. c. The information provided characterizes a one sample, one-sided test. d. The information provided characterizes a 95% confidence interval for the mean. . Use the information provided here to answer the following questions. H0 : a 60, n = 36, Xbar = 58. Which of the following would be the correct decision to make based on the information? a. p = 0.274, p > 0.05 and H0 is not rejected. b. p = 0.274, p 0.05 and Ha is not rejected. . The probability of committing a Type I error is symbolized by a. A b. la c. B (1. 10 . Researchers A and B separately took samples from the same population of epilepsy patients, each with the same sample size. Researcher A calculated a mean seizure rate of 4.1 per week, with 95% condence interval of (0.1, 8.1). Researcher B calculated a mean seizure rate of 4.2 per week, with 95% condence interval of (0.8, 7.6). These results indicate that Researcher A's study assessed seizure rate with a greater precision of estimation a. True b. False ' I ' = l U learn-us-east-1-prod-eetO2-xythos.content.blackboardcdnLom 0' ' o . r11 \\ ET] 13. True or False? Sampling distributions are created assuming a xed sample size, n. a. True b. False 14. If I accept H0 when H1 is true, which of the following events happened? a. Type I error b. Type II Error c. Power d. None of the above. 15. A population is normally distributed with a mean of 80 and a standard deviation of 6. If you had a sample of 9, the standard error would be a. 3 b. 0.667 c. 2 d. 0.75 16. Condence intervals are used to estimate a. standard errors. b. sampling distributions. c. sample statistics. d. population parameters. 17. Which of the following will increase the size of a condence interval? a. Increasing sample size. b. Decreasing the level of condence (e.g. going from 95 to 90% condence). 0. Finding that the parameter being estimated (.e.g. 11/4) is outside the condence interval. d. Increasing the level of condence (e.g. going from 90 to 95% condence). 18. When calculating statistical power, increasing sample size (n) will a. increase power. b. decrease power. c. increase H. d. contribute to global warming. 19. The discipline of statistics may be conceptually divided into which of the following categories? db ' = l U E learn-us-east-1-prod-fleetO2-xythos.content,blackboardcdncom C; l ' o . r11 \\ CT] ' \" ' W " ' \" . ' ' ' \" ' ' Ema/Few" 19. The discipline of statistics may be conceptually divided into which of the following categories? a. Descriptive and inferential statistics. b. Finite and innite statistics. c. Exact and approximate statistics. d. Theoretical and research statistics. 20. **The sign of r (+/-) tells you the Direction Strength Power . none of the above of the relationship between X and Y 21. **The value of r gives you the of the relationship between X and Y. a. Direction b. Strength c. Power d. none of the above 22. **True or False? A researcher ts a linear regression line to summarize the ability of BMI to predict systolic blood pressure (SBP) and does the same to summarize the relationship learn-us-east-1-prod-fleet02-xythos.content.blackboardcdn.com C PG G Homework Help - Q&A from Online Tutors - Course Hero Bb Final Exam - HSD 269 501 - Fundamentals of Biostatistics... Bb https://learn-us-east-1-prod-fleet02-xythos.content.blackboardcdn.c... + 21. **The value of r gives you the of the relationship between X and Y. a. Direction b. Strength c. Power d. none of the above 22. **True or False? A researcher fits a linear regression line to summarize the ability of BMI to predict systolic blood pressure (SBP) and does the same to summarize the relationship between BMI and diastolic blood pressure (DBP). The correlation between BMI and SBP is 0.45, and the correlation between BMI and DBP is 0.447. Since the correlations are very close we can expect that the slope of the regression line is very similar across the two regression analyses. a. True b. False The data shown below describe children in four countries in terms of adequate dental care. Adequate Inadequate Dental Care Dental Care UK 2520 180 US 4560 240 France 1100 300 Mexico 2820 280 23. What is the probability that a child from France has inadequate dental care? a. 300/1400 b. 180/12000 C. 1 100/1 1000 d. 300/3100 24. True or false? Even with small sample sizes (e.g. 15 people), the sampling distribution willlearn-us-east-1-prod-fleet02-xythos.content.blackboardcdn.com C PG G Homework Help - Q&A from Online Tutors - Course Hero Bb Final Exam - HSD 269 501 - Fundamentals of Biostatistics... Bb https://learn-us-east-1-prod-fleet02-xythos.content.blackboardcdn.c... + 24. True or false? Even with small sample sizes (e.g. 15 people), the sampling distribution will always be exactly normally distributed a. True b. False The data shown below describe children in four countries in terms of adequate dental care. Adequate Inadequate Dental Care Dental Care UK 2520 180 US 4560 240 France 1100 300 Mexico 2820 280learn-us-east-1-prod-fleet02-xythos.content.blackboardcdn.com C PG G Homework Help - Q&A from Online Tutors - Course Hero Bb Final Exam - HSD 269 501 - Fundamentals of Biostatistics... Bb https://learn-us-east-1-prod-fleet02-xythos.content.blackboardcdn.c... + 25. What is the probability that a child from the US has adequate dental care? a. 240/1 1000 b. 4560/11000 c. 4560/4800 d. 240/12000 26. Given that a population is normally distributed with a mean of 100 and a standard deviation of 8, determine the Z score of X = 88 a. +1.5 b. 12 c. -1.5 d. 99.5 27. A researcher is interested in studying how caffeine intake affects test performance, and states his research hypothesis H1: Consuming caffeine will improve test scores a. One-tailed hypothesis test. (Right) b. One-tailed hypothesis test. (Left) c. Two-tailed hypothesis test. d. There's not enough information. 28. True or False? The probability of a Z score being less than 0 is 84%. a. True b. False 29. Which of the following is NOT an assumption for Pearson Correlations (r)? a. Each variable measured should be quantitative b. Each X must have a corresponding Y c. The data have a non-linear relationship d. The spread of the data is normally distributeddim: l U E learn-us-east-1-prod-fleetO2-xythos.content,blackboardcdncom C; l 30. The mean change in muscle thickness observed aer a 4-week training regimen was 4 mm, and the 95% condence interval (CI) for mean change was (-0.5, 8.5). Which is the best scientic conclusion for the effectiveness of this regimen? a. An increase in 4 mm is impressive, so the regimen has been proven effective. b. Although a mean increase was observed, it is not statistically signicant because the 95% CI includes zero change. . The lower limit of the CI is less than zero, which means a new person undergoing this training can be expected to lose muscle thickness. . The upper limit of the CI is greater than 8, which means that an increase of 8 mm is our best prediction for a new person undergoing this training. 31. True or False? Sampling distributions are created assuming a xed sample size, a. True b. False 32. As the sample size (n) increases, the standard error of the sampling distribution for the summary statistic (e.g., mean) of interest should . Decrease. . Increase. . Stay the same. . Not enough information. 33. In medical testing, the probability that a healthy person receives a positive test result is called a. Sensitivity b. Specicity c. False Negative (1. False Positive 34. The value (1, 2, 3 etc.) of a Z score tells you what about that value? , Its distance from the mean. . Whether the value is good or bad. , How normal the value is. . Whether a value is above or below the mean