SantΓ© Publique Test

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SantΓ© Publique Test

 

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Definition of midrange. The midrange is the:

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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‹αŸ” αž˜αžΆαž“αž“αŸαž™αžαžΆ:

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A high prevalence may be due to:

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Post- Neonatal mortality 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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Infant mortality rate is used to measure the:

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To measure the risk of women dying from maternal causes, by calculation of:

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Qualitative variables are measured at the:

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There is the distance in kilometer from the house of patients to Health center: 4, 7, 3, 5, 3 and 8. If we confuse 8 to 80, what is the happened show that?

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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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The estimated mid interval population is determined by:

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αž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αž“αŸƒαž‘αžΆαžšαž€ (Perinatal mortality Rate, Taux de mortalitΓ© 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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All of them are the true answers only one is the false answer. Find the false answer: Defining disease occurrences: the method used to define cases affects the accuracy of frequency measures is:

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In epidemiological practice, incidence rate are:

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

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αž’αžαŸ’αžšαžΆαž”αŸ’αžšαŸαžœαŸ‰αžΆαž‘αž„αŸ‹ ( Prevalent Rate/Taux de PrΓ©valent) αžαŸ’αžšαžΌαžœαž”αžΆαž“αž‚αžŽαž“αžΆαžŠαžΌαž…αžαž‘αŸ…:

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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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Neonatal mortality rate is used to measure the:

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αž€αŸ’αž“αž»αž„αž…αŸ†αžŽαŸ„αž˜αž‘αžΆαžšαž€ ៑០០០ αž€αžΎαžαžšαž„αžŸαŸ‹ αž˜αžΆαž“αž‘αžΆαžšαž€αžŸαŸ’αž›αžΆαž”αŸ‹ ៦០ αž“αžΆαž€αŸ‹ αž’αžΆαž™αž»αž€αŸ’αžšαŸ„αž˜ ្៨ αžαŸ’αž„αŸƒ αžŸαž»αž…αŸ’αž…αž“αžΆαž€αžšαž“αŸαŸ‡αž”αž‰αŸ’αž‡αžΆαž€αŸ‹ αž€αžΆαžšαž‚αžŽαž“αžΆαŸ–

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αž…αŸ†αžŽαž»αž…αžŠαŸ‚αž›αž‚αž½αžšαž²αŸ’αž™αž…αž„αž…αžΆαŸ†αž€αŸ’αž“αž»αž„αž€αŸ’αžšαžΆαž αŸ’αžœαž·αž€αž“αŸ„αŸ‡αž‚αžΊ:

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

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αž’αžΆαŸ†αž„αžŸαŸŠαžΈαžŠαž„αŸ‹αž€αžΎαž“αž‘αžΎαž„αž€αŸ’αž“αž»αž„αž€αžšαžŽαžΈ:

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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“ ៦០០០០ 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” αž˜αžΆαž“αžŸαŸ’αžŠαŸ’αžšαžΈ αŸ₯០ αž“αžΆαž€αŸ‹αžŸαŸ’αž›αžΆαž”αŸ‹αž‘αžΆαž€αŸ‹αž‘αž„αž“αžΉαž„αž˜αžΆαž“αž•αŸ’αž‘αŸƒαž–αŸ„αŸ‡ αž“αž·αž„αž‡αž»αŸ†αžœαž·αž‰αž€αžΆαžšαž†αŸ’αž›αž„αž‘αž“αŸ’αž›αŸαžŸαŸ’αž˜αžΎαž“αžΉαž„αž’αžαŸ’αžšαžΆ:

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Definition of ordinal scale, an ordinal scale assigns:

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To measure the risk of fetal death occurring after 28 completed weeks of gestation: by calculation of:

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αž…αŸ†αž“αž½αž“αž”αŸ’αžšαž‡αžΆαž‡αž“αž˜αž’αŸ’αž™αž˜αž‚αžΊαž‡αžΆ:

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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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The inclusion of only “classic” cases of the disease, as defined by strict diagnostic criteria, will:

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The primary reason for selecting a sample from a population is:

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You asked five of your classmates about their height. On the basis of this information, you stated that the average height of all students in your university or college is 1.67 meters. This is an example of:

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The width of a confidence interval is influenced by:

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Statistic is a numerical quantity, which is calculated from:

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On the statements below which are validstatements of probability:

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Which statement is not true about confidence intervals?

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

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If a specificity of a screening test was 89%, it means that:

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What is the correct answer about a point estimate statement:

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What is the statement of specificity of a diagnostic test:

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What is the wrong interpretation of 95% confidence interval:

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The standard error of the mean of a sample is:

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

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A group of 100 people are asked to state their favourite colour. 60 say blue. This experiment says that the probability of someone choosing blue is:

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If we want higher chance of error we could calculate (chose the correct answer):

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

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On the statements below which are valid statements of probability:

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The negative predictive value of a test decreases:

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Which branch of statistics deals with the techniques that are used to organize, and summarize and simplify data:

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Which of the following statements is true about the standard error of a proportion?

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

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Below is the common screening test except one:

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Reliability of a test means that:

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A positive predictive value depend on:

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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“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‘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‘αžΈαŸ”

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αžαžΎαž’αŸ’αžœαžΈαžαŸ’αž›αŸ‡αžŠαŸ‚αž›αž˜αž·αž“αž˜αŸ‚αž“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‘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€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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