Fundamentals of Biostatistics
8th Edition
ISBN: 9781305268920
Author: Bernard Rosner
Publisher: Cengage Learning
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Chapter 2, Problem 49P
To determine
Construct a box plot of LVMI by blood pressure group.
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Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure.
Question:If the t statistic falls below the effect size in which we reject the null, but the p value is greater than 0.05. Do i reject the null? As my scenario had no population mean because the differences were recorded, do i set a test value of 10 or keep it at 0?
Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure.
Question:
If a participant has the same corneal thickness in their normal eye as the eye with Glaucoma, what would be the value for difference: measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma.
Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure.
Question:
Write a report summarizing your findings When writing the report consider that medical staff estimate that a difference of 4.5 microns or more could impact on their ability to interpret eye pressure correctly.
Chapter 2 Solutions
Fundamentals of Biostatistics
Ch. 2.6 - When is it appropriate to use the arithmetic mean...Ch. 2.6 - How does the geometric mean differ from the...Ch. 2.6 - What is the difference between the standard...Ch. 2.8 - What is a stem-and-leaf plot? How does it differ...Ch. 2.8 - Prob. B.2RECh. 2.8 - Consider the stem-and-leaf plot in Figure 2.6. Is...Ch. 2.8 - What is a box plot? What additional information...Ch. 2 - The data in Table 2.13 are a sample from a larger...Ch. 2 - The data in Table 2.13 are a sample from a larger...Ch. 2 - It is of clinical interest to know if the duration...
Ch. 2 - Suppose the scale for a data set is changed by...Ch. 2 - Suppose the scale for a data set is changed by...Ch. 2 - Suppose the scale for a data set is changed by...Ch. 2 - Suppose the scale for a data set is changed by...Ch. 2 - A man runs 1 mile approximately once per weekend....Ch. 2 - A man runs 1 mile approximately once per weekend....Ch. 2 - A man runs 1 mile approximately once per weekend....Ch. 2 - A man runs 1 mile approximately once per weekend....Ch. 2 - A man runs 1 mile approximately once per weekend....Ch. 2 - The data in Table 2.15 are a sample of cholesterol...Ch. 2 - The data in Table 2.15 are a sample of cholesterol...Ch. 2 - The data in Table 2.15 are a sample of cholesterol...Ch. 2 - The data in Table 2.15 are a sample of cholesterol...Ch. 2 - The data in Table 2.15 are a sample of cholesterol...Ch. 2 - In an experiment that examined the effect of body...Ch. 2 - In an experiment that examined the effect of body...Ch. 2 - Table 2.17 Format for FEV.DAT The data in Table...Ch. 2 - Forced expiratory volume (FEV) is an index of...Ch. 2 - Forced expiratory volume (FEV) is an index of...Ch. 2 - Prob. 26PCh. 2 - The food-frequency questionnaire (FFQ) is an...Ch. 2 - In Section 2.9, we described Data Set LEAD.DAT (at...Ch. 2 - In Section 2.9, we described Data Set LEAD.DAT (at...Ch. 2 - Activated-protein-C (APC) resistance is a serum...Ch. 2 - Activated-protein-C (APC) resistance is a serum...Ch. 2 - A study was conducted to demonstrate that soy...Ch. 2 - A study was conducted to demonstrate that soy...Ch. 2 - A study was conducted to demonstrate that soy...Ch. 2 - Prob. 38PCh. 2 - In Section 2.10, we described Data Set BONEDEN.DAT...Ch. 2 - What impression do you have of the relationship...Ch. 2 - In Section 2.10, we described Data Set BONEDEN.DAT...Ch. 2 - In Section 2.10, we described Data Set BONEDEN.DAT...Ch. 2 - Prob. 43PCh. 2 - Prob. 44PCh. 2 - Prob. 45PCh. 2 - Answer Problems 2.382.40 for BMD for the femoral...Ch. 2 - The Left Ventricular Mass lndex (LVMI) is a...Ch. 2 - Prob. 48PCh. 2 - Prob. 49PCh. 2 - The Left Ventricular Mass lndex (LVMI) is a...
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- Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. The data can be found in the file Glaucoma.sav. Use ? = .05. a) If a participant has the same corneal thickness in their normal eye as the eye with Glaucoma, what would be the value for difference: measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Which test would i use in spss and what data would i conclude with?b) Conduct a hypothesis test to determine if there is sufficient evidence to conclude that corneal thickness is different in normal eyes compared to eyes with glaucoma? Write up your results using the 8…arrow_forwardGlaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. Use ? = .05. Hypothesis: H0: μd=0Ha: μd≠0 Using output Test statistics : t=0.134P value=0.897 Degrees of freedom (df): df=7 Level of significance: α=0.05 Decision: P value > 0.05 thus we fails to reject null hypothesis. Question a)Write a report summarizing your findings. When writing the report consider that medical staff estimate that a difference of 4.5 microns or more could impact on their ability to interpret eye pressure correctly. b) Define for the hypothesis stated in part b) what a type 1 error and type 2 error would mean. Is it possible…arrow_forwardGlaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. Use ? = .05 H0: μd=0 H1: μd≠0 T statistic: t = 1.053, P value = 0.327 Degrees of Freedom n-1 = 8-1= 7 critical value 2.3646 If t is less than 2.3646, or greater than 2.3646, reject the null hypothesis Level of significance: α=0.05 question: what a type 1 error and type 2 error would mean. Is it possible that we could have committed a type 2 error in conducting the testarrow_forward
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