SantΓ© Publique Test

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SantΓ© Publique Test

 

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What is the correct answer about a point estimatestatement:

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What is the correct answer about a confidence interval statement:

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What is the statement of specificity of a diagnostic test:

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Below is the common screening test except one:

5 / 60

In statistics, a sample mean:

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A normal distribution curve is determined by the (chose the correct answer):

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All statements below are correct to describe the negative predictive value of a screening test except one:

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If a negative predictive value was 98%, it means that:

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A population parameter is likely to occur (chose the correct answer):

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The Positive Predictive Value was 40% means that:

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The factors that determine the width of a confidence interval are except one:

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A confidence interval is describe (chose the correct answer):

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What is the correct interpretation of 95% confidence interval below:

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On the statements below what is valid statements of probability:

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In a study of Cambodian people over 65 years of age, it is found that 255 have heart disease and 2302 do not. If a Cambodian over 65 years of age is randomly selected, what is the estimated probability that he or she has heart disease:

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Which below statement is not correct:

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What is the statement of negative predictive value of a diagnostic test:

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A positive predictive value depend on:

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What is the correct statement of positive predictive value (PPV) of a screening test:

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A confidence interval estimate is (chose the correct answer):

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If the penalty for missing a case is high (e.g., the disease is fatal and treatment exists, or disease easily spreads) the best diagnostic test is:

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Which of these is most likely to happen?

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What is the correct statement of sensitivity of a screening test:

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All statements below are correct to describe the positive predictive value of a screening test except one:

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On the statements below which are validstatements of probability:

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The branch of biostatistics that deals with testing of hypothesis, making predictions using data collected is called:

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Which below statement is not correct:

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Which statement is not true about confidence intervals?

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Students had attended a blood donor session at the University of Health Science when a new donor arrived. Blood can be classified into 4 groups: O, A, B and AB. The table below shows the number of people in each blood group. What is the probability that the next donor belongs to blood group O?

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αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈαŸ’B αž…αŸ†αž“αž½αž“αŸ‘αŸ₯αž“αžΆαž€αŸ‹ αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž“αŸ…αž”αžŽαŸ’αžŽαžΆαž›αŸαž™αž‡αžΆαž˜αž’αŸ’αž™αž˜ 50 αž“αžΆαž‘αžΈ αž€αŸ’αž“αž»αž„αŸ‘ αžαŸ’αž„αŸƒαŸ” αž‚αŸαž…αž„αŸ‹αž’αŸ’αžœαžΎ hypothesis testing αžŠαŸ„αž™αžŸαžšαžŸαŸαžαžΆ H0: αžšαž™αŸ‡αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž€αŸ’αž“αž»αž„αž”αžŽαŸ’αžŽαžΆαž›αŸαž™αžŸαŸ’αž˜αžΎ αŸ¦αŸ αž“αžΆαž‘αžΈ αž“αž·αž„ Ha: αžšαž™αŸ‡αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž€αŸ’αž“αž»αž„αž”αžŽαŸ’αžŽαžΆαž›αŸαž™ β‰  αŸ¦αŸ αž“αžΆαž‘αžΈαŸ” αž€αžΆαžšαž’αŸ’αžœαžΎαžαŸαžŸαŸ’αžαž”αŸ‚αž”αž“αŸαŸ‡αž‡αžΆαž”αŸ’αžšαž—αŸαž‘

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αž“αŸ…αž€αŸ’αž“αž»αž„ hypothesis testing αž˜αžΆαž“αž€αŸ†αž αž»αžŸ(error) αž–αžΈαžšαžŠαŸ‚αž›αž’αžΆαž…αž€αžΎαžαž‘αžΎαž„αŸ” αžαžΎαžƒαŸ’αž›αžΆαžαžΆαž„αž€αŸ’αžšαŸ„αž˜αž“αŸαŸ‡ αžƒαŸ’αž›αžΆαž˜αž½αž™αžŽαžΆαžŠαŸ‚αž›αžαŸ’αžšαžΉαž˜αžαŸ’αžšαžΌαžœαž‘αŸ…αž“αžΉαž„αž“αž·αž™αž˜αž˜αŸαž™αžšαž”αžŸαŸ‹ error.

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αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្Aαž…αŸ†αž“αž½αž“ ៑៑ αž“αžΆαž€αŸ‹αž”αžΆαž“αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžšαž™αŸˆαž–αŸαž›β€‹ αŸ‘αŸ αŸ αž“αžΆαž‘αžΈαž€αŸ’αž“αž»αž„αŸ‘αžαŸ’αž„αŸƒαž αžΎαž™αž˜αžΆαž“ standard deviation 20 αž“αžΆαž‘αžΈαŸ” αž‚αŸαž…αž„αŸ‹αž’αŸ’αžœαžΎ hypothesis testing αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្ αž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžšαŸ€αž“αžšαž™αŸˆαž–αŸαž› αŸ’αž˜αŸ‰αŸ„αž„ αŸ” αžαžΎαž‚αŸαžαŸ’αžšαžΌαžœαžŸαžšαžŸαŸαžš Hypothesis αž™αŸ‰αžΆαž„αžŠαžΌαž…αž˜αŸ’αžαŸαž…?

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αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈαŸ’B αž…αŸ†αž“αž½αž“αŸ‘αŸ₯αž“αžΆαž€αŸ‹ αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž“αŸ…αž”αžŽαŸ’αžŽαžΆαž›αŸαž™αž‡αžΆαž˜αž’αŸ’αž™αž˜ 50 αž“αžΆαž‘αžΈ αž€αŸ’αž“αž»αž„αŸ‘ αžαŸ’αž„αŸƒαŸ” αž‚αŸαž…αž„αŸ‹αž’αŸ’αžœαžΎ hypothesis testing αžŠαŸ„αž™αž˜αžΆαž“ H0: αžšαž™αŸ‡αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž€αŸ’αž“αž»αž„αž”αžŽαŸ’αžŽαžΆαž›αŸαž™β‰₯ αŸ¦αŸ αž“αžΆαž‘αžΈ αž“αž·αž„ Ha: αžšαž™αŸ‡αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž€αŸ’αž“αž»αž„αž”αžŽαŸ’αžŽαžΆαž›αŸαž™ < αŸ¦αŸ αž“αžΆαž‘αžΈαŸ” αž€αžΆαžšαž’αŸ’αžœαžΎαžαŸαžŸαŸ’αžαž”αŸ‚αž”αž“αŸαŸ‡αž‡αžΆαž”αŸ’αžšαž—αŸαž‘

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αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈαŸ’A αž…αŸ†αž“αž½αž“αŸ‘αŸ₯αž“αžΆαž€αŸ‹ αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž“αŸ…αž•αŸ’αž‘αŸ‡αžšαž™αŸˆαž–αŸαž›αž˜αž’αŸ’αž™αž˜ αŸ‘αŸ’αŸ αž“αžΆαž‘αžΈβ€‹ αž€αŸ’αž“αž»αž„αŸ‘β€‹ αžαŸ’αž„αŸƒ αž αžΎαž™αž˜αžΆαž“ standard deviation αŸ¦αŸ αž“αžΆαž‘αžΈ αž αžΎαž™αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្Cαž…αŸ†αž“αž½αž“ αŸ‘αŸ‘αž“αžΆαž€αŸ‹αž”αžΆαž“αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžšαž™αŸˆαž–αŸαž› αŸ‘αŸ αŸ αž“αžΆαž‘αžΈαž€αŸ’αž“αž»αž„αŸ‘αžαŸ’αž„αŸƒαž αžΎαž™αž˜αžΆαž“ standard
deviation 20 αž“αžΆαž‘αžΈαŸ”αž‚αŸαž…αž„αŸ‹αž”αŸ’αžšαŸ€αž”αž’αŸ€αž”αžαžΆαžαžΎαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្A αž“αž·αž„ 2 B αž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžŸαŸ’αž˜αžΎαžšαž‚αŸ’αž“αžΆαžŠαŸ‚αžšαž¬αž‘αŸ αžαžΎαž‚αŸαžαŸ’αžšαžΌαžœαž’αŸ’αžœαžΎ hypothesis testing αž”αŸ’αžšαž—αŸαž‘αžŽαžΆ?

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αž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αž“αŸƒαž‘αžΆαžšαž€ (Post Perinatal mortality Rate, Taux de mortalitΓ© Post PΓ©rinatale) αž‚αžΊαž‡αžΆαž€αžΆαžšαž‚αžŽαž“αžΆαž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž– αžŸαŸ†αžŠαŸ…αž‘αŸ…αž›αžΎαž‘αžΆαžšαž€αžŠαŸ‚αž›αž˜αžΆαž“αž’αžΆαž™αž»:

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αž…αž˜αŸ’αž›αžΎαž™αž‘αžΆαŸ†αž„αž’αžŸαŸ‹αžαžΆαž„αž€αŸ’αžšαŸ„αž˜αž“αŸαŸ‡ αžŸαž»αž‘αŸ’αž’αžαŸ‚αžαŸ’αžšαžΉαž˜αžαŸ’αžšαžΌαžœ αž›αžΎαž€αž›αŸ‚αž„αžαŸ‚αž…αž˜αŸ’αž›αžΎαž™αž˜αž½αž™αžŠαŸ‚αž›αžαž»αžŸαž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αžšαž½αž˜αž‚αžΊαŸ–

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αž‚αŸαž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αž”αŸ’αžšαŸαžœαŸ‰αžΆαž‘αž„αŸ‹ (Prevalent) αžŠαžΎαž˜αŸ’αž”αžΈαž”αž„αŸ’αž αžΆαž‰:

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Period prevalent .Refers to:

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Properties and uses of the mode. The mode is / has:

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To measure the average risk of death in the population at large, by calculation of:

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αž”αŸ’αžšαŸαžœαŸ‰αžΆαž‘αž„αŸ‹ αžαŸ’αžšαžΌαžœαž”αžΆαž“αž‚αžŽαž“αžΆαžŠαžΌαž…αžαž‘αŸ…:

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Age- and sex specific death rate is used to measure the:

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αžƒαŸ’αž›αžΆαžαžΆαž„αž€αŸ’αžšαŸ„αž˜αž“αŸαŸ‡αžŸαž»αž‘αŸ’αž’αžαŸ‚αžαŸ’αžšαžΉαž˜αžαŸ’αžšαžΌαžœ αž›αžΎαž€αž›αŸ‚αž„αžαŸ‚αŸ–

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αž“αŸ…αž€αž˜αŸ’αž–αž»αž‡αžΆ αž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αžšαž”αžŸαŸ‹αž˜αžΆαžαžΆαž˜αžΆαž“ ៦០ αž—αžΆαž‚ ៑០០០ αž€αžΎαžαžšαžŸαŸ‹αž˜αžΆαž“αž“αŸαž™αžαžΆ:

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Definition of mode: The mode is the value that:

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This formula for calculated:

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αžƒαŸ’αž›αžΆαžαžΆαž„αž€αŸ’αžšαŸ„αž˜αž“αŸαŸ‡αžŸαž»αž‘αŸ’αž’αžαŸ‚αž‡αžΆαž›αž€αŸ’αžαžŽαŸˆαžšαž”αžŸαŸ‹αžαŸ†αž›αŸƒαž€αžŽαŸ’αžŠαžΆαž› (Median) αž›αžΎαž€αž›αŸ‚αž„αžαŸ‚:

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The mean population in Rattanakiri province is 30000 populations (P) in year 2005.All cases of mortality is 200 cases. # Live births under 1 year = 1500 live births. Infant death under 1 year has 90 cases. # Live births of infant < 28 days of age = 200 Live births. Neonatal mortality = 45 cases and Maternal mortality = 50 deaths. Crude death rate is:

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Qualitative variables are measured at the:

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To measure the risk of dying during infancy (e.g. the first year of life), by calculation of:

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The population beginning of the year 2000 in Rattanakiri province has 60000 populations (P) and the end of the same year and same place have 70000 populations.All cases of mortality are 200 cases. # Live births = 12000 live births. The mean population in Rattanakiri in year 2000 has:

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αžαžΎαž’αžαŸ’αžšαžΆαž’αŸ’αžœαžΈ αžŠαŸ‚αž›αž‚αŸαž‚αžŽαž“αžΆ αž…αŸ†αž“αž½αž“αž“αŸƒαž€αžΆαžšαžŸαŸ’αž›αžΆαž”αŸ‹αž€αŸ’αž“αž»αž„ ៑ αž†αŸ’αž“αžΆαŸ† αžŸαŸ†αžšαžΆαž”αŸ‹αž”αŸ’αžšαž‡αžΆαž‡αž“ ៑០០០ αž“αžΆαž€αŸ‹?

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The result of evaluation show that Good, Average, Poor Fully agree, agree, doubt, disagree .totally disagree is the type of:

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This formula for calculated:

Total # death due to all causes in a defined area during a defined period X 1000

Mean population at risk in the same area during the same period

 

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In an epidemic ( or outbreak ) of food poisoning, there were 10 cases of male and 40 cases of female among 120 female and 80 male exposed. Male attack rate is:

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The numerator of calculation perinatal mortality rate is:

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Bias: The true biologic variation in clinical measurement is:

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Variation in clinical measurement including:

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Step 1. Identify the smallest (minimum) observation and the largest (maximum) observation. Step 2. Add the minimum plus the maximum, then divide by two: is the formula for calculate the:

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αž“αŸ…αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“αž˜αžΆαž“αž”αŸ’αžšαž‡αžΆαž‡αž“αŸ¦αŸ αŸ αŸ αŸ  αž“αžΆαž€αŸ‹ αž“αŸ…αžŠαžΎαž˜αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αŸ” αž‘αžΆαžšαž€αž€αžΎαžαžšαžŸαŸ‹αž€αŸ’αž“αž»αž„αž†αŸ’αž“αžΆαŸ†αž“αŸ„αŸ‡αž˜αžΆαž“ ៀ% αž€αž»αž˜αžΆαžšαžŸαŸ’αž›αžΆαž”αŸ‹αž’αžΆαž™αž»αž€αŸ’αžšαŸ„αž˜ ៑ αž†αŸ’αž“αžΆαŸ† αž˜αžΆαž“ ្ៀ០ αž“αžΆαž€αŸ‹αŸ” αž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αž“αŸƒαž€αž»αž˜αžΆαžš (Taux de mortalitΓ© Infantile, Infant Mortality Rate) αž˜αžΆαž“:

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