SantΓ© Publique Test

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SantΓ© Publique Test

 

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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›αžαž·αž…αž‡αžΆαž„ 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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αžŸαžΌαž˜αžšαžΎαžŸαž™αž€αžƒαŸ’αž›αžΆαž˜αž½αž™αžŠαŸ‚αž›αžαŸ’αžšαžΉαž˜αžαŸ’αžšαžΌαžœαž‡αžΆαž„αž‚αŸαž–αžΈαžƒαŸ’αž›αžΆαžαžΆαž„αž€αŸ’αžšαŸ„αž˜ αžŠαžΎαž˜αŸ’αž”αžΈαž”αž„αŸ’αž αžΆαž‰αž–αžΈαž‚αŸ„αž›αž€αžΆαžšαžŽαŸαž“αŸƒαž€αžΆαžšαž’αŸ’αžœαžΎ hypothesis testing

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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‘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’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‘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 ្C αž…αŸ†αž“αž½αž“ ៑៑ αž“αžΆαž€αŸ‹αž”αžΆαž“αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž…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αžΆαž˜αž€αžΆαžšαž–αž·αž“αž·αžαŸ’αž™αž˜αžΎαž›αž‘αŸ…αž›αžΎαž€αžΆαžšαžšαž€αžƒαžΎαž‰αž€αŸ’αž“αž»αž„αžŸαŸ†αžŽαžΆαž€αž‘αžΆαŸ†αžΆαž„αž–αžΈαžšαž“αŸαŸ‡ αž™αžΎαž„αž’αžΆαž…αžŸαž“αŸ’αž“αž·αžŠαŸ’αž‹αžΆαž“αž”αžΆαž“αžαžΆ

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

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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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In statistics, a population consists of

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On the statements below what is valid statements of probability:

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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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Which below statement is not correct:

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What is the correct statement of screening test:

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Which of these is most likely to happen?

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Which statement is not true about confidence intervals?

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

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

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

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

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

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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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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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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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Chose the incorrect statement describe the diagnostic test:

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The standard error of the mean of a sample is:

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αž“αŸ…αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“αž˜αžΆαž“αž‘αžΆαžšαž€αž€αžΎαžαžšαžŸαŸ‹αž’αžΆαž™αž»αž€αŸ’αžšαŸ„αž˜ ៧ αžαŸ’αž„αŸƒ ៦០ αž“αžΆαž€αŸ‹ αž“αŸ…αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αŸ” αž‘αžΆαžšαž€αžŸαŸ’αž›αžΆαž”αŸ‹αž’αžΆαž™αž»αž€αŸ’αžšαŸ„αž˜ ៧ αžαŸ’αž„αŸƒαžŸαŸ’αž›αžΆαž”αŸ‹ ៦ αž“αžΆαž€αŸ‹ αž“αž·αž„ αž€αŸ’αžšαŸ„αž˜ αŸ’αŸ¨αžαŸ’αž„αŸƒ αžŸαŸ’αž›αžΆαž”αŸ‹ ៑០ αž“αžΆαž€αŸ‹αŸ” Taux de mortalitΓ© PΓ©rinatal, Perinatal Mortality Rate αž˜αžΆαž“:

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In epidemiological practice, incidence rate are:

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αž›αž€αŸ’αžαžŽαŸˆαžšαž½αž˜αžšαž”αžŸαŸ‹αž€αŸ’αžšαžΆαž αŸ’αžœαž·αž€αžŠαŸ‚αž›αž˜αžΆαž“ αž€αžΌαž’αžšαžŠαŸ„αž“αŸ αž”αž½αž“αž‡αŸ’αžšαž»αž„αž‘αŸ’αžšαžœαŸ‚αž„αž‚αžΊ:

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The inclusion of “probable” case, according to more lenient diagnostic criteria, may:

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

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The scale uses names, numbers or other symbols to assign each measurement to one of a limit number of categories that cannot be ordered one above the other is:

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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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A decrease in prevalence may be due to:

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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˜ ្៨ αžαŸ’αž„αŸƒ αž˜αžΆαž“ ៣០% αž“αŸƒαž€αž»αž˜αžΆαžšαž€αžΎαžαžšαžŸαŸ‹αžŸαžšαž»αž”αž“αž·αž„αžŸαŸ’αž›αžΆαž”αŸ‹ ៣៦ αž“αžΆαž€αŸ‹αŸ” Taux de mortalitΓ© NΓ©onatal, Neonatal Mortality Rate αž˜αžΆαž“:

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Qualitative variables are measured at the:

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Point prevalent of the disease refers to:

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αž’αžαŸ’αžšαžΆαž’αžΆαŸ†αž„αžŸαŸŠαžΈαžŠαž„αŸ‹ (Incident Rate/Taux d’incidence) αžαŸ’αžšαžΌαžœαž”αžΆαž“αž‚αžŽαž“αžΆαžŠαžΌαž…αžαž‘αŸ…:

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

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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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αž“αŸ…αž€αž˜αŸ’αž–αž»αž‡αžΆ Taux de mortalitΓ© infantile, Infant Mortality Rate αž˜αžΆαž“ αŸ₯០ 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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To measure the risk of dying within 28 days of birth, by calculation of:

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True biologic variation in clinical measurement is the sum:

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

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αžŠαžΎαž˜αŸ’αž”αžΈαž”αž„αŸ’αž αžΆαž‰αž’αŸ„αž™αž’αŸ’αž“αž€αž˜αžΎαž›αž”αžΆαž“αž™αž›αŸ‹αž›αž€αŸ’αžαžŽαŸˆαžŠαŸ†αž”αžΌαž„αž”αž„αŸ’αž’αžŸαŸ‹αžšαž”αžŸαŸ‹αž‘αž·αž“αŸ’αž“αž“αŸαž™αž‚αžΊ:

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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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The numerator of calculation neonatal mortality rate is:

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Identifying cases from personal interviews. Information on disease occurrence obtained by personal interview or from questionnaires may be altered by:

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

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αž“αŸ…αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“αž˜αžΆαž“αž‘αžΆαžšαž€αž€αžΎαžαžšαžŸαŸ‹αž’αžΆαž™αž»αž€αŸ’αžšαŸ„αž˜ ៧ αžαŸ’αž„αŸƒ ៦០ αž“αžΆαž€αŸ‹αž“αž·αž„αž’αžΆαž™αž»αž…αžΆαž”αŸ‹αž–αžΈ ៧ αžαŸ’αž„αŸƒαžŠαž›αŸ‹ ៑ αž†αŸ’αž“αžΆαŸ†αž˜αžΆαž“ αŸ¦αŸ¦αŸ αž“αžΆαž€αŸ‹ αž“αŸ…αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αŸ” αž‘αžΆαžšαž€αžŸαŸ’αž›αžΆαž”αŸ‹αž’αžΆαž™αž»αž€αŸ’αžšαŸ„αž˜ ៧ αžαŸ’αž„αŸƒαžŸαŸ’αž›αžΆαž”αŸ‹ ៦ αž“αžΆαž€αŸ‹ αž“αž·αž„ αž…αžΆαž”αŸ‹αž–αžΈαŸ§αžαŸ’αž„αŸƒαžŠαž›αŸ‹αŸ‘αž†αŸ’αž“αžΆαŸ†αžŸαŸ’αž›αžΆαž”αŸ‹ ៦៦ αž“αžΆαž€αŸ‹αŸ” Taux de mortalitΓ© Post PΓ©rinatal, Post Perinatal Mortality Rateαž˜αžΆαž“:

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

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

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

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