SantΓ© Publique Test

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SantΓ© Publique Test

 

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αž‚αŸ„αž›αž€αžΆαžšαžŽαŸαžŸαŸ†αžšαžΆαž”αŸ‹αž’αŸ’αžœαžΎαž€αžΆαžšαžŸαŸ†αžšαŸαž…αž…αž·αžαŸ’αžαž“αŸ…αž€αŸ’αž“αž»αž„αž€αžΆαžšαž’αŸ’αžœαžΎhypothesis testing αž‚αžΊαžαŸ’αžšαžΌαžœαž–αžΉαž„αž•αŸ’αž“αŸ‚αž€αž›αžΎ

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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™αŸ‡αž–αŸαž›αž˜αž’αŸ’αž™αž˜ αŸ‘αŸ’αŸ αž“αžΆαž‘αžΈ αž€αŸ’αž“αž»αž„αŸ‘ 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“ ៑៑ 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’αŸ’αžœαžΎαžαŸαžŸαŸ’αžαž…αž„αŸ‹αžŠαžΉαž„αžαžΆαžαžΎαžšαž™αŸ‡αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžšαž”αžŸαŸ‹αžαŸ’αž“αžΆαž€αŸ‹αž‘αžΆαŸ†αž„αž–αžΈαžŸαŸ’αž˜αžΎαžšαž‚αŸ’αž“αžΆαžŠαŸ‚αžšαž¬αž‘αŸ αž αžΎαž™αž‘αž‘αž½αž›αž”αžΆαž“ P-value αžšαž”αžŸαŸ‹αžαŸαžŸαŸ’αžαžŸαŸ’αž˜αžΎ αŸ₯%αŸ” αž™αŸ„αž„αžαžΆαž˜αž›αž‘αŸ’αž‹αž•αž›αž“αŸαŸ‡αž‚αŸαž’αžΆαž…αžŸαž“αŸ’αž“αž·αžŠαŸ’αž‹αžΆαž“αžαžΆ

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αžαžΎαž’αŸ’αžœαžΈαžαŸ’αž›αŸ‡αž‡αžΆαž•αŸ’αž“αŸ‚αž€αžšαž”αžŸαŸ‹Descriptive statistics?

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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˜ αŸ¦αŸ αž“αžΆαž‘αžΈ αž€αŸ’αž“αž»αž„αŸ‘ αžαŸ’αž„αŸƒ αž αžΎαž™αž˜αžΆαž“standard deviation αŸ€αŸ αž“αžΆαž‘αžΈαŸ”αž‚αŸαž’αžΆαž…αž”αŸ’αžšαžΎ point estimation αžŠαžΎαž˜αŸ’αž”αžΈαž’αŸ’αžœαžΎαž€αžΆαžšαžŸαž“αŸ’αž“αž·αžŠαŸ’αž‹αžΆαž“αžαžΆ

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αž“αŸ…αž€αŸ’αž“αž»αž„ One sided hypothesis testing, αž™αžΎαž„αž’αžΆαž… Reject H0 αžŠαŸ„αž™αž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹ Z ឬ t Distribution

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What is the correct answer about a point estimatestatement:

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The upper bound and lower bound of confidence interval are calculated using (chose the correct answer):

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When data are collected in a statistical study for only a portion or subset of all elements of interest we are using

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If the variance of a data set is correctly computed with the formula using n – 1 in the denominator, which of the following is true?

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The Positive Predictive Value of a test increases:

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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 answer below is correct about the confidence interval:

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Statistic is a numerical quantity, which is calculated from:

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If an event has a probability of 0.1 it is:

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What is the correct answer about a confidence interval statement:

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A screening test result for cervical cancer show that NPV= 99%. It means that:

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If a sensitivity of a screening test was 80%, it means that:

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On the statements below which are valid statements of probability:

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In inferential statistics, we study

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Which statement is not true about confidence intervals?

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Population census is conducted through

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

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A negative predictive value of a test decreases as:

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

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What is the wrong interpretation of 95% confidence interval:

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

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On the statements below which are validstatements of probability:

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Which answer below is not correct about the confidence interval:

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

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αžαžΎαž’αžαŸ’αžšαžΆαž’αŸ’αžœαžΈ αžŠαŸ‚αž›αž‚αŸαž‚αžŽαž“αžΆ αž…αŸ†αž“αž½αž“αž“αŸƒαž‘αžΆαžšαž€αžŸαŸ’αž›αžΆαž”αŸ‹ αž’αžΆαž™αž»αž€αŸ’αžšαŸ„αž˜ ៧ αžαŸ’αž„αŸƒ?

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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“ αŸ’αŸ€αŸ αŸ αž“αžΆαž€αŸ‹αŸ” αž˜αžšαžŽαŸˆαž—αžΆαž–αž‘αžΌαž‘αŸ…αž˜αžΆαž“ αŸ¦αŸ αŸ αž“αžΆαž€αŸ‹ αž“αž·αž„αž”αŸ’αžš/αž‡αž…αž»αž„αž†αŸ’αž“αžΆαŸ†αž˜αžΆαž“:

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Prevalence of disease refers to the number that develop in a population at risk for the disease over a specified period time of:

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Qualitative variables are measured at the:

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Add all of the observed values in the distribution and divide the sum by the number of observations is the formula for calculate the:

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αž“αŸαŸ‡αž‡αžΆαž…αŸ†αž„αžΆαž™αž•αŸ’αž›αžΌαžœαž‚αž·αžαž‡αžΆαž‚αžΈαž‘αžΌαž˜αŸ‰αŸ‚αžαŸ’αžšαž–αžΈαž•αŸ’αž‘αŸ‡αžšαž”αžŸαŸ‹αž’αŸ’αž“αž€αž‡αŸ†αž„αžΊ αŸ¦αž“αžΆαž€αŸ‹αž˜αž€αž˜αžŽαŸ’αžŒαž›αžŸαž»αžαž—αžΆαž–αž˜αž½αž™: 4,7,3,5,3,8αŸ” αž”αŸ’αžšαžŸαž·αž“αž”αžΎ 8 αžαŸ’αžšαžΌαžœαž”αžΆαž“αž‚αŸαž€αžαŸ‹αž…αŸ’αžšαž‘αŸ†αž‡αžΆ 80 αžœαž·αž‰ αžαžΎαž“αžΉαž„αž˜αžΆαž“αž€αžΆαžšαž”αŸ’αžšαŸ‚αž”αŸ’αžšαž½αž›αž’αŸ’αžœαžΈαž€αžΎαžαž‘αžΎαž„?

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To measure how fatal a disease / condition is. It predicts the risk of dying if the disease is contracted, by calculation of:

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αž“αŸ…αž€αž˜αŸ’αž–αž»αž‡αžΆ Taux de mortalitΓ© nΓ©onatale, Neonatal Mortality Rateαž˜αžΆαž“ ៣០ αž—αžΆαž‚ β€‹αŸ‘αŸ αŸ αŸ αž€αžΎαžαžšαžŸαŸ‹αž€αŸ’αž“αž»αž„αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ αŸ αŸ” αž˜αžΆαž“αž“αŸαž™αžαžΆαž€αŸ’αž“αž»αž„αž€αŸ†αž‘αž»αž„αž†αŸ’αž“αžΆαŸ† ្០០០

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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. Overall attack rate is:

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αž€αžΆαžšαž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αžαŸαžŸαŸ’αžŠαžšαŸ„αž‚αžœαž·αž“αž·αž…αŸ’αž†αŸαž™ (Diagnosic test) αžŠαŸ„αž™αž‡αŸ’αžšαžΎαžŸαžšαžΎαžŸαžαŸ‚ β€œclassic” cases of the disease αž”αžŽαŸ’αžŠαžΆαž›αž’αŸ„αž™αž€αžΆαžšαž”αŸ‰αžΆαž“αŸ‹αž”αŸ’αžšαž˜αžΆαžŽαž“αŸƒ:

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This formula for calculated:

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By definition a variable is:

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αž’αžΆαŸ†αž„αžŸαŸŠαžΈαžŠαž„αŸ‹ αžαŸ’αžšαžΌαžœαž”αžΆαž“αž‚αžŽαž“αžΆαžŠαžΌαž…αžαž‘αŸ…:

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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“ αž˜αž’αŸ’αž™αž˜ ៦០០០០ αž“αžΆαž€αŸ‹ αž˜αžΆαž“αž‡αŸ†αž„αžΊαžšαž”αŸαž„αžŸαž€αž˜αŸ’αž˜αž—αžΆαž–αž€αžΎαžαžαŸ’αž˜αžΈαžαŸ’αžšαžΌαžœαž”αžΆαž“αžšαž€αžƒαžΎαž‰αž“αŸ…αž€αŸ†αž‘αž»αž„αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αž˜αžΆαž“αž…αŸ†αž“αž½αž“ ៦០ αž“αžΆαž€αŸ‹, αž‡αŸ†αž„αžΊαžšαž”αŸαž„αžŸαž€αž˜αžŸαž›αŸ‹αž–αžΈαž†αŸ’αž“αžΆαŸ†αž…αžΆαžŸαŸ‹ (្០៑៣) αž˜αžΆαž“αž…αŸ†αž“αž½αž“ ្០ αž“αžΆαž€αŸ‹ αž αžΎαž™αžˆαžΊαž”αž“αŸ’αžŠαžŠαž›αŸ‹αž…αž»αž„αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αŸ” αž’αžαŸ’αžšαžΆαž’αžΆαŸ†αž„αžŸαŸŠαžΈαžŠαž„αŸ‹αž‡/αž„ αžšαž”αŸαž„αž‚αžΊ:

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Stillbirth rate (Late fetal death rate) is used to measure the:

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Infant mortality rate is used to measure the:

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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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αž…αŸ†αžŽαž»αž…αž”αŸ’αžšαžœαŸ‰αžΆαž‘αž„αŸ‹ (Point prΓ©valence)

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Definition of mode: The mode is the value that:

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αžŸαž˜αžΆαž˜αžΆαžαŸ’αžšαžŸαŸ’αž›αžΆαž”αŸ‹αž“αŸƒαž’αŸ’αž“αž€αž‡αŸ†αž„αžΊ (Case fatality Rate CFR) αžŸαŸ’αž˜αžΎαž“αžΉαž„:

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The numerator of calculation case fatality rate (CFR) is:

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Neonatal mortality rate is used to measure the:

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The use of a diagnostic test with a high false positive rate (poor specificity) will:

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αž’αŸŠαžΈαžŸαŸ’αžŠαžΌαž€αŸ’αžšαžΆαž˜ (Histogram) αž‚αžΊαž‡αžΆαž€αŸ’αžšαžΆαž αŸ’αžœαž·αž€αž˜αž½αž™:

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Prevalence is useful:

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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 = 1500 live births. Infant death under 1 year have 90 cases. # Live births of infant < 28 days of age = 200 Live births. Neonatal mortality = 45 cases and Maternal mortality = 50 deaths. Maternal mortality rate is:

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The mean population in Rattanakiri province is 30000 populations (P) in year 2005. All cases of mortality are 200 cases. # Live births = 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. Neonatal mortality rate is:

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To measure the risk of dying within 28 days of birth, by calculation of:

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Prevalence is useful in:

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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 = 1500 live births. Infant death under 1 year have 90 cases. # Live births of infant < 28 days of age = 200 Live births. Neonatal mortality = 45 cases and Maternal mortality = 50 deaths. Infant mortality rate is:

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