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Posts Tagged ‘biostatistics’

Biostatistics: Pearson’s Correlation

Biostatistics: Pearson’s Correlation 5. CHAPTER 17, PROBLEM 5 In a study conducted in Italy, 10 patients with hypertriglyceridemia were placed on a low-fat, high-carbohydrate diet. Before the start of the diet, cholesterol and triglyceride measurements were recorded for each subject. Patient Cholesterol Level (mmol/l) Triglyceride level (mmol/l) 1 5.12 2.30 2 6.18 2.54 3 6.77 […]

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Biostatistics: Wilcoxon Rank Sum Test

Biostatistics: Wilcoxon Rank Sum Test   1. CHAPTER 13, PROBLEM 11 #11. ┬áThe characteristics of low birth weight children dying of sudden infant death syndrome were examined for both females and males. The ages at time of death for samples of 11 girls and 16 boys are shown below. Age (days) Females Rank Males Rank […]

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Binomial Distribution

Binomial Distribution Binomial Distribution Statistics – Binomial Distribution Binomial Distribution 1 Binomial Distribution 2 Related posts: Biostatistics Multiple Choice Questions: Binomial Distributions Poisson Distribution Liver Segments and Lobes: Vessel and Duct Distribution Student’s t Distribution Biostatistics: Wilcoxon Rank Sum Test Statistics Biostatistics Multiple Choice Questions: Probability Distributions USMLE Preparation Depression in medical students Second year […]

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Poisson Distribution

Poisson Distribution Poisson Distribution Example Poisson Probability Example Related posts: Liver Segments and Lobes: Vessel and Duct Distribution Binomial Distribution Student’s t Distribution Biostatistics Multiple Choice Questions: Probability Distributions Biostatistics Multiple Choice Questions: Probability Density Functions Biostatistics Multiple Choice Questions: Binomial Distributions Biostatistics: Wilcoxon Rank Sum Test Biostatistics Multiple Choice Questions: Random Variables Statistics for […]

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Biostatistics Multiple Choice Questions: Probability Density Functions

Biostatistics Multiple Choice Questions: Probability Density Functions Q: True or false: In a probability density function (which is used for continuous variables), as you continue to make the time intervals more and more narrow: a) the probability of being within just one of those interval decreases b) the probability of being within just one of […]

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