Biostatistics Exam 2-Preview
Biostatistics Exam 2-Preview Heal 395
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This 3 page Class Notes was uploaded by A Jones on Friday September 9, 2016. The Class Notes belongs to Heal 395 at College of Charleston taught by Hart in Fall 2016. Since its upload, it has received 7 views. For similar materials see Biostatistics in Public Health at College of Charleston.
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Date Created: 09/09/16
9/9/2016 Exam 2 | Evernote Web Exam 2 Normal Distribution Probability Estimation https://www.evernote.com/Home.action#n=f1c2beecf60142cfabe11595d1fe041f&b=3e793d121/1048b5aeeb12b02ed6bc73&ses=4&sh=1&sds=5& 9/9/2016 Exam 2 | Evernote Web Standard deviation formula: What does the z score represent? relationship to the mean in a group of scores: can also be positive or negative, indicating whether it is above or below the mean and by how many standard deviations. Negative: probability values are less than The Z score for a weight =100lbs is: ᵄᵄ(100) = (100−150) 30 = 1.67 The probability associated with a Z score of ± 1.67 is 0.047. https://www.evernote.com/Home.action#n=f1c2beecf60142cfabe11595d1fe041f&b=3e793d12ce2948b5aeeb12b02ed6bc72/10s=4&sh=1&sds=5& 9/9/2016 Exam 2 | Evernote Web Therefore, this probability means that based on these data, there is a 0.047 (4.7%) chance that a person will weigh less than 100 lbs. Positive: probability values are more than How to calculate z score: **** population: mu and sigma: μ & σ Example: μ = 150 mg/dL σ = 30 mg/dL 150(2*30) = 90 150+(2*30) = 210 This means 68%of the values fall between 90 and 210 Central Limit Theorem as sample size increases the distribution of averages are more normal Binomial Distribution Probability Estimation Discrete Binomial Probabilities Cumulative Binomial Probabilities https://www.evernote.com/Home.action#n=f1c2beecf60142cfabe11595d1fe041f&b=3e793d13/102948b5aeeb12b02ed6bc73&ses=4&sh=1&sds=5&
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