SantΓ© Publique Test

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SantΓ© Publique Test

 

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The scale used to measure variable has divided 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“ 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’αŸ’αž™αž˜αž˜αžΆαž“:

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αž€αžΆαžšαž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αžαŸαžŸαŸ’αžŠαžšαŸ„αž‚αžœαž·αž“αž·αž…αŸ’αž†αŸαž™ (Diagnostic test) αžŠαŸ‚αž›αž˜αžΆαž“αž€αžΆαžšαžαž»αžŸαž…αŸ’αžšαžΎαž“ αž’αŸ’αžœαžΎαž’αŸ„αž™αž’αžαŸ’αžšαžΆαžαŸαžŸαŸ’αžŠαžœαž·αž‡αŸ’αž‡αž˜αžΆαž“ αž€αžΎαž“αž‘αžΎαž„αžαŸ’αž–αžŸαŸ‹ high false positive rate (poor specificity) αž”αžŽαŸ’αžŠαžΆαž›αž’αŸ„αž™ αž€αžΆαžšαž”αŸ‰αžΆαž“αŸ‹αž”αŸ’αžšαž˜αžΆαžŽαž“αŸƒ:

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To measure the risk of death occurring either during pregnancy after completed 28 weeks of gestation or within 1 week after delivery, by calculation of:

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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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Prevalence is useful in:

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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 time of onset is clearly defined in some diseases, for example:

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Infant mortality rate is used to measure 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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The numerator of calculation neonatal mortality rate is:

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Definition of median, Median is:

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

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Exclusion of risk-free individuals. The calculation of the prevalence or incidence of a disease should exclude from the denominator members of the population who are:

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A high prevalence may indicate a:

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

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Point prevalent of the disease refers to:

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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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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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αž˜αžΆαž“αž’αŸ’αž“αž€αž‡αŸ†αž„αžΊαž…αŸ†αž“αž½αž“αŸ₯αž“αžΆαž€αŸ‹αž˜αž€αžŸαŸ†αžšαžΆαž€αž“αŸ…αž€αŸ’αž“αž»αž„αž˜αž“αŸ’αž‘αžΈαžšαž–αŸαž‘αŸ’αž™αžŠαŸ„αž™ αž‡αŸ†αž„αžΊαž‚αŸ’αžšαž»αž“αž–αŸ„αŸ‡αžœαŸ€αž“ αžšαž™αŸˆαž–αŸ’αž™αžΆαž”αžΆαž›αž‚αž·αžαž‡αžΆαžαŸ’αž„αŸƒαž˜αžΆαž“αžšαž™αŸˆαž–αŸαž›αžŠαžΌαž…αžαž‘αŸ…: ្, ៣, ្, αŸ₯, αŸ£αŸ” αžαž˜αŸ’αž›αŸƒ Variance αž‚αžΊ:

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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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’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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Incidence 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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To measure risk of death among person in a specific age and sex group. by calculation of:

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αž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αž“αŸƒαž‘αžΆαžšαž€ (Neonatal mortality Rate, Taux de mortalitΓ© NΓ©onatale) 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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To measure the risk of dying within 28 days of birth, 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“ ៀ% 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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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“ ្ៀ០០ αž“αžΆαž€αŸ‹αŸ” αž’αžαŸ’αžšαžΆαž‘αžΆαžšαž€αž€αžΎαžαžšαžŸαŸ‹αž€αŸ’αž“αž»αž„αž†αŸ’αž“αžΆαŸ†αž“αŸ„αŸ‡αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“ αž˜αžΆαž“:

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In inferential statistics, we study

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The meaning of reliability of a test is:

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Which below statement is not correct:

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What is the probability of getting an odd number when you roll a dice?

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

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Which answer below is not correct about the confidence interval:

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

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What is the correct statement of screening test:

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What is the correct answer about a point estimate statement:

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

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The Positive Predictive Value was 40% means that:

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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 negative predictive value of a test decreases as:

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

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A positive predictive value depend on:

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αžŸαŸ’αžαž·αžαž·αžœαž·αž‘αŸ’αž™αžΆ (statistics) αž˜αžΆαž“αž…αŸ‚αž€αž…αŸαž‰αž‡αžΆ

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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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If an event is impossible it has a probability of:

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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 width of a confidence interval is influenced by:

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If an event has a probability of 0.1 it is:

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Which below statement is not correct:

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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’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’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€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…αž„αŸ‹αž”αŸ’αžšαŸ€αž”αž’αŸ€αž”αžαžΆαžαžΎαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្A αž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžšαŸ€αž“αž…αŸ’αžšαžΎαž“αž‡αžΆαž„αž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ 2 CαŸ” αžαžΎαž‚αŸαžαŸ’αžšαžΌαžœαžŸαžšαžŸαŸαžš statistical hypothesis αž™αŸ‰αžΆαž„αžŠαžΌαž…αž˜αŸ’αžαŸαž…?

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