Santé Publique Test

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Santé Publique Test

1 / 60

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

a. The mean and the range

b. The median and its standard error

c. The mean and its standard error

d. The median and the range

2 / 60

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

a. Comparative biostatistics

b. Descriptive statistics

c. Inferential biostatistics

d. Test statistics

3 / 60

The director of the blood bank wants to know whether blood donors who test positive should be informed of their positive HIV status on the basis of this test. What do you need to calculate in order to help you advise the director?

a. Positive predictive value

b. Sensitivity

c. Negative predictive value

d. Specificity

4 / 60

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

a. .A 90% confidence interval

b. .A 95% confidence interval

c. .A 99% confidence interval

d. .A 98% confidence interval

5 / 60

In descriptive statistics, we study:

a. The description of decision making process

b. The methods for organizing, displaying, and describing data

c. The prediction of disease trend

d. How to describe the probability distribution

6 / 60

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?

a. 8%

b. 43%

c. 46%

d. 3%

7 / 60

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

a. The proportion of patients who test positive who actually have the disease.

b. The ability of the test to identify correctly those who have the disease from all individuals with the disease

c. The ability of the test to identify correctly those who do not have the disease from all individuals free from the disease

d. The proportion of patients who test negative who are actually free of the disease

8 / 60

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

a. It always lies close to 0

b. It is always greater than the standard deviation

c. It is approximately equal to the standard deviation when the sample size is large

d. It is a measure of the sampling variation of the observed proportion p about the true 3 (population) proportion (

9 / 60

Below is the common screening test except one:

a. Rapid diagnostic test

b. Pap smear for cervical dysplasia or cervical cancer

c. Fasting blood cholesterol for heart disease

d. Fasting blood sugar for diabetes

10 / 60

ស្ថិតិវិទ្យា (statistics) មានចែកចេញជា

a. Inferential statistics & standard deviation

b. Descriptive statistics & estimation

c. Inferential statistics & hypothesis testing

d. Descriptive & inferential statistic

11 / 60

μ is an example of a

a. Population parameter

b. Sample statistic

c. Mode

d. Population variance

12 / 60

What is the correct statement of diagnostic test:

a. The diagnostic test is performed before a positive screening

b. .A diagnostic test is used to determine the presence or absence of a disease when a subject shows signs or symptoms of the disease

c. .A diagnostic test is used to determine the presence or absence of a disease when a subject does not shows signs or symptoms of the disease

d. .A diagnostic test is not used to determine the presence or absence of a disease when a subject shows signs or symptoms of the disease

13 / 60

On the statements below which are validstatements of probability:

a. The probability that this patient will die is less than 10%

b. The probability that this patient will die is between 101% to 200%

c. The probability that this patient will die is less than 0%

d. The probability that this patient will die is greater than 100%

14 / 60

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

a. The proportion of patients who test positive who actually have the disease.

b. The proportion of positive test results that are true positive.

c. Likelihood of having the disease when test is positive.

d. Likelihood of not having the disease when test is negative

15 / 60

The width of a confidence interval is influenced by:

a. The distance between the sample mean and the population mean

b. The population parameter.

c. The sample size determination

d. The desired level of confidence

16 / 60

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

a. The means of sample

b. The variability in the population, usually σ estimated by s.

c. The desired level of confidence.

d. The sample size, n.

17 / 60

The Positive Predictive Value was 40% means that:

a. Among those who had a positive screening new test, the probability of disease was 44%.

b. The incidence of disease was 44%

c. The prevalence of disease was 44%

d. The prevalence rate is 44%

18 / 60

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

a. The proportion of patients who test positive who actually have the disease.

b. The ability of the test to identify correctly those who do not have the disease.

c. The ability of the test to identify correctly those who have the disease.

d. The ability of a test to indicate which individuals have the disease and which do not.

19 / 60

The Negative Predictive Value was 98% means that:

a. The incidence of disease was 98%

b. The prevalence of disease was 98%

c. Among those who had a negative screening new test, the probability of being disease-free was 98%.

d. The prevalence rate is 98%

20 / 60

Which below statement is not correct:

a. .A point estimate is single numberthat is an estimate of the population parameter

b. .A point estimate is the statistic computed from sample information

c. .A point estimate is two numbersthat are estimate of the population parameter

d. .A point estimate is used to estimate the population parameter

21 / 60

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

a. The probability of the screening test incorrectly identifying non-diseased subjects was 21%.

b. The probability of the screening test incorrectly identifying non-diseased subjects was 89%.

c. The probability of the screening test correctly identifying non-diseased subjects was 21%.

d. The probability of the screening test correctly identifying non-diseased subjects was 89%.

22 / 60

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

a. Among those who had a negative screening new test, the probability of being disease-free was 98%.

b. Among those who had a negative screening new test, the probability of being disease-free was 2%.

c. Among those who had a positive screening new test, the probability of disease was 98%.

d. Among those who had a positive screening new test, the probability of disease was 2%

23 / 60

Which below statement is not correct:

a. The narrower the confidence interval, the less precise the point estimate

b. The narrower the confidence interval, the more precise the point estimate.

c. The confidence interval represents a range of values on either side of the estimate

d. Confidence interval describes the precision of the estimate

24 / 60

The width of a confidence interval will decrease when which of the following changes occur:

a. The precision of the estimate of the population mean decreases

b. The sample size n decreases

c. The desired level of confidence increases

d. The sample size n increases

25 / 60

A positive predictive value depend on:

a. The incidence of the disease in the population tested

b. The mortality of the disease in the population tested

c. The sensitivity of the disease in the population tested

d. The negative predictive value of the disease in the population tested

26 / 60

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

a. Within a standard deviation of a sample

b. Within the range values of sample

c. Within the confidence interval

d. Within a standard deviation of a population

27 / 60

What is the correct statement of screening test:

a. .A screening test is used to determine the presence or absence of a disease when a subject shows signs or symptoms of the disease

b. The screening test is performed after a negative diagnostic test

c. .A screening test is used to determine the presence or absence of a disease when a subject does not shows signs or symptoms of the disease

d. The screening test is performed after a positive diagnostic test

28 / 60

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

a. We can be 99% confident that the true value of population lies within this interval

b. We can be 95% confident that the true value of population lies within this interval

c. We can be 90% confident that the true value of population lies within this interval

d. We can be 98% confident that the true value of population lies within this interval

29 / 60

Positive Predictive Value primarily depends on (chose the incorrect answer):

a. Prevalence of the disease in the population tested,

b. Incidence of the disease

c. Sensitivity and specificity

d. In general, it depends more on the specificity

30 / 60

ស្ថិតិវិទ្យា(statistics) មានចែកចេញជា

a. . Descriptive & inferential statistic

b. . Inferential statistics & hypothesis testing

c. . Descriptive statistics & estimation

d. . Inferential statistics & standard deviation

31 / 60

ការសិក្សាទៅលើសំណាកនៃនិស្សិតឆ្នាំទី ២Aចំនួន ១១ នាក់បានរកឃើញថានិស្សិតបានចំណាយពេលសិក្សារយៈពេល ១០០នាទីក្នុង១ថ្ងៃហើយមាន standard deviation 20 នាទី។ គេចង់ធ្វើ hypothesis testing ថានិស្សិតឆ្នាំទី ២ បានចំណាយពេលរៀនរយៈពេល ២ម៉ោង ។ តើគេត្រូវសរសេរ Hypothesis យ៉ាងដូចម្តេច?

a. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ តិចជាង ២ ម៉ោង; Ha: និស្សិតថ្នាក់ទី ២A បានចំណាយពេលសិក្សានៅផ្ទះ ≠ ២ ម៉ោង

b. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ = ២ ម៉ោង; Ha: និស្សិតថ្នាក់ទី ២A បានចំណាយពេលសិក្សានៅផ្ទះ ≠ ២ ម៉ោង

c. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ ≠ ២ ម៉ោង; Ha: និស្សិតថ្នាក់ទី ២A បានចំណាយពេលសិក្សានៅផ្ទះ = ២ ម៉ោង

d. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ ច្រើនជាង ២ ម៉ោង; Ha: និស្សិតថ្នាក់ទី ២A បានចំណាយពេលសិក្សានៅផ្ទះ តិចជាង ២ ម៉ោង

32 / 60

ការសិក្សាទៅលើសំណាកនិស្សិតឆ្នាំទី ២Aចំនួន ១១ នាក់បានរកឃើញថានិស្សិតបានចំណាយពេលសិក្សារយៈពេល ១០០នាទីក្នុង១ថ្ងៃហើយមាន standard deviation 20 នាទី។ គេចង់ធ្វើ hypothesis testing ថានិស្សិតឆ្នាំទី ២A បានរៀនរយះពេល2ម៉ោងដែរឬទេ ហើយបានរកឃើញ P-value = 0.049។ តើគេអាចសន្និដ្ឋានបានយ៉ាងដូចម្តេច?

a. . និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះខុសពី 2 ម៉ោង

b. . និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ =2 ម៉ោង

c. . និស្សិតឆ្្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ ≤2 ម៉ោង

d. . និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ≥2 ម៉ោង

33 / 60

ការសិក្សាទៅលើសំណាកនៃនិស្សិតឆ្នាំទី២B ចំនួន១៥នាក់ រកឃើញថានិស្សិតបានចំណាយពេលសិក្សានៅបណ្ណាល័យជាមធ្យម 50 នាទី ក្នុង១ ថ្ងៃ។ គេចង់ធ្វើ hypothesis testing ដោយមាន H0: រយះពេលសិក្សាក្នុងបណ្ណាល័យ≥ ៦០នាទី និង Ha: រយះពេលសិក្សាក្នុងបណ្ណាល័យ < ៦០នាទី។ ការធ្វើតេស្តបែបនេះជាប្រភេទ

a. . Two sided, two sample hypothesis testing

b. . One sided, one sample hypothesis testing

c. . One sided, two sample hypothesis testing

d. . Two sided, one sample hypothesis testing

34 / 60

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

a. a good descriptive measure, particularly for data that are skewed, because it is the central point of the distribution.

b. the difficult measure of central location to understand and explain.

c. the easiest measure of central location to understand and explain

d. a good descriptive measure, particularly for data analysis.

e. excellent statistical properties and is commonly used in additional statistical manipulations and analyses

35 / 60

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

a. Case fatality rate (CFR)

b. Post- neonatal mortality rate.

c. Infant mortality rate.

d. Maternal mortality rate (MMR)

e. Causes- specific death rate (CSDR)

36 / 60

Neonatal mortality rate is used to measure the:

a. Risk of dying within 28 days of birth.

b. Risk of dying during infancy after the first-4 weeks of life.

c. Average risk of death in the population at large.

d. Risk of fetal death occurring after 28 completed weeks of gestation.

e. Risk of death among person in a specific age and sex group.

37 / 60

Variation in clinical measurement including:

a. Inaccuracy

b. Reliable

c. Efficiency

d. Imprecision

e. Bias

38 / 60

នៅកម្ពុជា Taux de mortalité infantile, Infant Mortality Rate មាន ៥០ ភាគ១០០០ កើតរស់ក្នុងឆ្នាំ ២០០០។ មានន័យថាក្នុងកំឡុងឆ្នាំ ២០០០

a. ផ្សេងពីនេះ

b. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៥០ នាក់ទាក់ទងការមានផ្ទៃពោះ និងឆ្លងទន្លេ

c. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៥០ នាក់

d. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៥០ នាក់ អាយុក្រោម ២៨ ថ្ងៃ

e. ក្នុងចំណោមទារក ១០០០០ កើតរស់មានទារកស្លាប់ ៥០ នាក់ អាយុក្រោម ២៨ ថ្ងៃ

39 / 60

តើអត្រាអ្វី ដែលគេគណនា ចំនួននៃទារកស្លាប់ អាយុក្រោម ៧ ថ្ងៃ?

a. Taux de mortalité Maternelle, Maternal Mortality Rate

b. Taux de mortalité Post Néonatal / Post Néonatal mortality Rate

c. Taux de mortalité Périnatal / Périnatal Mortality Rate

d. Taux de mortalité Néonatale/ / Néonatal Mortality Rate

e. Taux de mortalité infantile / Infant Mortality Rate

40 / 60

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

a. Post- neonatal mortality rate.

b. Causes- specific death rate (CSDR)

c. Case fatality rate (CFR).

d. Maternal mortality rate (MMR)

e. Infant mortality rate.

41 / 60

នៅក្នុងខេត្តប៉ៃលិនមានប្រជាជន៦០០០០ នាក់ នៅដើមឆ្នាំ ២០១៤។ ទារកកើតរស់ក្នុងឆ្នាំនោះមាន ៤% កុមារស្លាប់អាយុក្រោម ១ ឆ្នាំ មាន ២៤០ នាក់។ អត្រាមរណៈភាពនៃកុមារ (Taux de mortalité Infantile, Infant Mortality Rate) មាន:

a. ១០/១០០០០ កើតរស់

b. ១/១០០ កើតរស់

c. ១/១០០០ កើតរស់

d. ផ្សេងពីនេះ

e. ១០/១០០ កើតរស់

42 / 60

នៅក្នុងខេត្តប៉ៃលិនមានប្រជាជន ៦០០០០ នាក់ នៅដើមឆ្នាំ ២០១៤។ ទារកកើតរស់ក្នុងឆ្នាំនោះមាន ៤%។ មានស្ដ្រី ៥០ នាក់ស្លាប់ទាក់ទងនឹងមានផ្ទៃពោះ និងជុំវិញការឆ្លងទន្លេស្មើនឹងអត្រា:

a. ២០,៨០/១០០០ កើតរស់

b. ផ្សេងពីនេះ

c. ១០,៨៣/១០០០ កើតរស់

d. ២០/១០០០ កើតរស់

e. ២០,៨៣/១០០០ កើតរស់

43 / 60

អាំងស៊ីដង់កើនឡើងក្នុងករណី:

a. ករណីជំងឺកើតថ្មីកើនឡើង

b. ជំងឺកើតថ្មីភៀសខ្លួនចូល

c. រយៈពេលវែងនៃការរាប់ចំនួនអ្នកជំងឺ

d. ត្រឹមត្រូវទាំងអស់

44 / 60

Prevalence is useful:

a. Provides information on the effectiveness of control programs.

b. An estimate of disease incidence.

c. Provides information on the effectiveness of disease prevention

d. In estimating the need for facilities and personnel.

e. Information about the risk

45 / 60

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

a. Underestimate only prevalence disease.

b. Overestimate disease frequency.

c. Underestimate prevalence disease

d. Overestimate incidence disease.

e. Underestimate disease frequency

46 / 60

In epidemiological practice, incidence rate are:

a. The less commonly used way of measuring the extent or frequency with which infectious disease is experienced by population groups.

b. The most commonly used way of measuring the extent or frequency with which infectious disease is experienced by population groups

c. Useful in estimating the need for facilities and personnel.

d. Not provided information on the effectiveness of disease prevention or control programmes.

e. Also a measure of the burden of a particular disease to the health care system.

47 / 60

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:

a. Age- and sex specific death rate.

b. Perinatal mortality rate.

c. Stillbirth rate (Late fetal death rate).

d. Crude death rate (CDR)

e. Neonatal mortality rate

48 / 60

នៅកម្ពុជាអត្រាមរណៈភាពនៃមាតា Taux de mortalité Maternelle, Maternal Mortality Rate មាន ៤០ ភាគ១០០០ កើតរស់ក្នុងឆ្នាំ ២០០០។ មានន័យថាក្នុងកំឡុងឆ្នាំ ២០០០

a. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៤០ នាក់ អាយុក្រោម ១ឆ្នាំ

b. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៤០ នាក់ អាយុក្រោម ២៨ ថ្ងៃ

c. មាតាស្លាប់សរុបចំនួន ៤០ នាក់ក្នុងចំណោមប្រជាជនមធ្យម ១០០០ នាក់

d. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៤០ នាក់ទាក់ទងការមានផ្ទៃពោះ និង ឆ្លងទន្លេ

e. ផ្សេងពីនេះ

49 / 60

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

a. Maternal mortality rate (MMR)

b. Post- neonatal mortality rate.

c. Infant mortality rate.

d. Causes- specific death rate (CSDR)

e. Case fatality rate (CFR)

50 / 60

នៅកម្ពុជា Taux de mortalité Périnatal, Perinatal Mortality Rate មាន ៦០ ភាគ១០០០ កើតរស់ក្នុងឆ្នាំ ២០០០។ មានន័យថាក្នុងកំឡុងឆ្នាំ ២០០០៖

a. ផ្សេងពីនេះ

b. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៦០ នាក់ អាយុក្រោម ២៨ ថ្ងៃ

c. ក្នុងចំណោមទារក ១០០០០ កើតរស់មានទារកស្លាប់ ៦០ នាក់ អាយុក្រោម ៧ ថ្ងៃ

d. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៤០ នាក់ អាយុក្រោម ១ ឆ្នាំ

e. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៦០ នាក់ទាក់ទងការមានផ្ទៃពោះ និង ឆ្លងទន្លេ

51 / 60

អត្រាមរណៈភាពនៃកុមារ (Infant mortality Rate, Taux de mortalité infantile) គឺជាការគណនាអត្រាមរណៈភាពសំដៅទៅលើកុមារដែលមានអាយុ:

a. ក្រោម ១ ឆ្នាំ

b. ក្រោម ២៨ ថ្ងៃ

c. ចាប់ពី៧ថ្ងៃ ដល់ ១ឆ្នាំ

d. ក្រោម៥ឆ្នាំ

e. ក្រោម ៧ ថ្ងៃ

52 / 60

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:

a. Not susceptible to the disease

b. Who haven’t been immunized

c. Endometrial carcinoma that have not undergone hysterectomy

d. Measles or chicken pox that has previously not had the disease.

e. Susceptible to the disease.

53 / 60

Qualitative variables are measured at the:

a. Nominal level

b. Rate level

c. Numerical level

d. Proportional level

e. Ratio level

54 / 60

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

a. Biased recall.

b. Evaluation

c. Record

d. Analysis

e. Computed

55 / 60

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:

a. 1500 live births X1000/ 3000062

b. 90 cases/1500 live births X1000

c. 200 cases/30000 populations X1000

d. 45 cases/ 200 Live births X1000

e. 50 deaths/1500 live births X1000

56 / 60

អត្រាប្រេវ៉ាឡង់ ( Prevalent Rate/Taux de Prévalent) ត្រូវបានគណនាដូចតទៅ:

a. ចំនួនប្រ/ជដែលមានជំងឺកើតថ្មីក្នុងកំឡុងពេលជាក់លាក់មួយ X 1000 ចែកនឹងប្រជាជនមធ្យមក្នុងកំឡុងពេលដូចគ្នា

b. ចំនួនប្រ/ជដែលមានជំងឺកើតថ្មី+ជំងឺចាស់ ក្នុងកំឡុងពេលជាក់លាក់មួយ X (10n) ចែកនឹងប្រជាជនមធ្យមក្នុងកំឡុងពេលដូចគ្នា

c. ចំនួនប្រ/ជដែលមានជំងឺកើតថ្មី+ជំងឺចាស់ ក្នុងកំឡុងពេលជាក់លាក់មួយ X 1000 ចែកនឹងប្រជាជនចុងឆ្នាំក្នុងកំឡុងពេលដូចគ្នា

d. ចំនួនប្រ/ជដែលមានជំងឺកើតថ្មី+ជំងឺចាស់ ក្នុងកំឡុងពេលជាក់លាក់មួយ X 1000 ចែកនឹងប្រជាជនដើមឆ្នាំក្នុងកំឡុងពេលដូចគ្នា

57 / 60

អត្រាមរណៈភាពនៃទារក (Perinatal mortality Rate, Taux de mortalité Périnatale) គឺជាការគណនាអត្រាមរណៈភាព សំដៅទៅលើទារកដែលមានអាយុ:

a. ក្រោម ១ ឆ្នាំ

b. ក្រោម ៥ ឆ្នាំ

c. ចាប់ពី៧ថ្ងៃ ដល់ ១ ឆ្នាំ

d. ក្រោម ៧ ថ្ងៃ

58 / 60

អត្រាអាំងស៊ីដង់ (Incident Rate/Taux d’incidence) ត្រូវបានគណនាដូចតទៅ:

a. ចំនួនប្រ/ជដែលមានជំងឺកើតថ្មី+ជំងឺចាស់ ក្នុងកំឡុងពេលជាក់លាក់មួយ X 1000 ចែកនឹងប្រជាជនដើមឆ្នាំក្នុងកំឡុងពេលដូចគ្នា

b. ចំនួនប្រ/ជដែលមានជំងឺកើតថ្មីក្នុងកំឡុងពេលជាក់លាក់មួយ X 1000 ចែកនឹងប្រជាជនមធ្យមក្នុងកំឡុងពេលដូចគ្នា

c. ផ្សេងពីនេះ

d. ចំនួនប្រ/ជដែលមានជំងឺកើតថ្មីក្នុងកំឡុងពេលជាក់លាក់មួយ X 1000 ចែកនឹងប្រជាជនដើមឆ្នាំក្នុងកំឡុងពេលដូចគ្នា

e. ចំនួនប្រ/ជដែលមានជំងឺកើតថ្មីក្នុងកំឡុងពេលជាក់លាក់មួយ X 1000 ចែកនឹងប្រជាជនសរុបក្នុងកំឡុងពេលដូចគ្នា

59 / 60

ឃ្លាខាងក្រោមនេះសុទ្ធតែជាលក្ខណៈរបស់តំលៃកណ្ដាល (Median) លើកលែងតែ:

a. តំលៃកណ្ដាល (Median) មានតំលៃស្មើមធ្យមភាគ (Mean) និងម៉ូដក្នុងករណីដែលទិន្នន័យមានរបាយធម្មតា (normally distributed)

b. តំលៃកណ្ដាល (Median) មិនប្រែប្រួលទៅតាមតំលៃទាបពេក ឬ ខ្ពស់ពេកទេ

c. ផ្សេងពីនេះ

d. តំលៃកណ្ដាល (Median)អាចរកបានតែក្នុងករណីដែលចំនួនសង្កេត (number of observation) ជាចំនួនសេស(odd) តែប៉ុណ្ណោះ

e. តំលៃកណ្ដាល (Median) ចែកទិន្នន័យជាពីរផ្នែកស្មើគ្នា

60 / 60

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

a. Neonatal mortality rate

b. Age- and sex specific death rate.

c. Perinatal mortality rate

d. Crude death rate (CDR)

e. Stillbirth rate (Late fetal death rate).

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និស្សិតអាចប្រាប់មកកាន់ពួកយើងបានដើម្បីកែកំហុស ឬអំពីបញ្ហាដោយអចេតនាណាមួយដែលកើតមានកំឡុងពេលធ្វើតេស្ត