Santé Publique Test

22 votes, 4.8 avg

You will have 60 minutes to complete all the questions. After the timer reaches 60 minutes, the exam will end and be saved automatically. Good luck! *Fingers crossed*

The timer has been reached. The exam has now been terminated and saved.

Santé Publique Test

1 / 60

Which of the statements is true if a particular event has a probability of 10%?

a. It is certain to happen

b. It is impossible to happen

c. It is likely to happen

d. There is a one-in-ten chance it will happen.

2 / 60

The Positive Predictive Value depends on:

a. The prevalence of disease

b. The incidence of disease

c. Prevalence of the disease in the population tested,

d. The number of population

3 / 60

In statistics, a population consists of

a. All subjects or objects whose characteristics are being studied

b. All people who developing disease

c. All people living in the area under study

d. All people living in a country

4 / 60

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

a. The probability of the screening test correctly identifying diseased subjects was 80%.

b. The probability of the screening test correctly identifying diseased subjects was 20%.

c. The probability of the screening test incorrectly identifying diseased subjects was 20%.

d. The probability of the screening test incorrectly identifying diseased subjects was 80%.

5 / 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. Specificity

c. Negative predictive value

d. Sensitivity

6 / 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.

7 / 60

If a positive predictive value was 44%, it means that:

a. Among those who had a positive screening new test, the probability of disease was 56%.

b. Among those who had a negative screening new test, the probability of being disease-free was 56%

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

d. Among those who had a negative screening new test, the probability of being disease-free was 44%

8 / 60

A confidence interval is describe (chose the correct answer):

a. The sampling error of the estimate

b. The sampling distribution.

c. The precision of the estimate

d. The validity of the estimate

9 / 60

In descriptive statistics, we study:

a. The description of decision making process

b. The prediction of disease trend

c. How to describe the probability distribution

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

10 / 60

The standard error of the mean of a sample is:

a. Not increased as the sample size increases

b. Based on a non-normal distribution

c. An estimate of the standard deviation of the sample

d. Used to determine confidence level of significant test

11 / 60

Which of these is most likely to happen?

a. Event B, which has a probability of 0.75

b. Event C, which has a probability of 0.5

c. Event D, which has a probability of 0.1

d. Event A, which has a probability of 25%

12 / 60

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

a. Among those who had a negative screening new test, the probability of being cervical cancer-free was more than 99%

b. Among those who had a negative screening new test, the probability of being cervical cancer-free was 1%

c. Among those who had a negative screening new test, the probability of being cervical cancer-free was less than 99%

d. Among those who had a negative screening new test, the probability of being cervical cancer-free was 99%

13 / 60

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

a. 1/2

b. 1/3

c. 1/4

d. 1/5

14 / 60

The height of a student is 1.62 meters. This is an example of:

a. Continuous data

b. Discrete data

c. Categorical data

d. Qualitative data

15 / 60

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

a. The mean and its standard error

b. The median and its standard error

c. The mean and the range

d. The median and the range

16 / 60

In descriptive statistics, we study:

a. The description of decision making process

b. How to calculate the sample size in a study

c. How to describe the probability distribution

d. The methods for organizing, displaying and describing data

17 / 60

What is the wrong interpretation of 95% confidence interval:

a. We are 95% confident that the true value of population (parameter) is between this interval.

b. The interpretation of confidence interval is always relates to a statistic and never a parameter

c. The interpretation of confidence interval is always relates to a parameter and never a statistic.

d. We can be 95% confident that the true value of population (parameter) lies within this interval.

18 / 60

μ is an example of a

a. Population parameter

b. Mode

c. Sample statistic

d. Population variance

19 / 60

The width of a confidence interval is influenced by:

a. The standard error

b. The sampling distribution

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

d. The sample size n

20 / 60

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

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

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

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

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

21 / 60

ចំណុចដែលគួរឲ្យចងចាំក្នុងក្រាហ្វិកនោះគឺ:

a. ក្រិតមាត្រដ្ឋាន ក្នុងអក្ស័ទាំងពីរត្រូវតែដូចគ្នា

b. បើគេចង់បង្ហាញ Variable ចាប់ពីពីរឡើងទៅក្នុងក្រាហ្វិកមួយ, Variable នីមួយៗត្រូវតែគូសវាសយ៉ាងណាឲ្យឃើញដូចគ្នា

c. ក្រាហ្វិកនីមួយៗ ត្រូវមានព័ត៌មានគ្រប់គ្រាន់ ដើម្បីឲ្យអាចយល់បានដោយខ្លួនឯង

d. ខ្សែគំនូសក្រាហ្វិក ត្រូវឲ្យដេតជាងខ្សែបន្ទាត់អក្ស័ កូអរដោនេ

22 / 60

Definition of mode: The mode is the value that:

a. Occurs most often in a set of data

b. Is the value that is closest to all the other values in a distribution

c. Is the beginning value of a set of data that has been put into rank order.

d. Is the middle value of a set of data that has been put into rank order.

e. Is the half-way point or the midpoint of a set of observations

23 / 60

This formula refers to:

a. Infant mortality rate

b. Maternal mortality rate

c. Crude death rate

d. Prevalent rate

e. Incidence rate

24 / 60

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

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

b. The easiest measure of central location to understand and explain

c. Excellent statistical properties and is commonly used in additional statistical manipulations and analyses.

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

e. The difficult measure of central location to understand and explain.

25 / 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. Infant mortality rate is:

a. 90 cases/1500 live births X1000

b. 45 cases/ 200 Live births X1000

c. 200 cases/30000 populations X1000

d. 1500 live births X1000/ 3000062

e. 50 deaths/1500 live births X1000

26 / 60

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:

a. (40 X100) /200

b. (10 X 100) /200

c. (50 X100) / 200

d. (40 X100) /120

e. (10 X 100) /80

27 / 60

This formula for calculated:

a. Neonatal mortality rate

b. Post- neonatal mortality rate

c. Perinatal mortality rate

d. Maternal mortality rate (MMR)

e. Infant mortality rate

28 / 60

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:

a. (10 X 100) /80

b. (40 X100) /200

c. (10 X 100) /200

d. (40 X100) /120

e. (50 X100) / 200

29 / 60

The prevalence of a disease depends on:

a. Natality rate

b. Prevention of the diseases

c. Effectiveness of treatment

d. Incidence rate and its duration

e. Mortality rate

30 / 60

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

a. Analysis

b. Biased recall.

c. Computed

d. Record

e. Evaluation

31 / 60

The estimated mid interval population is determined by:

a. The population at the beginning of the time interval + live birth – number of death cases.

b. Adding the population at the beginning of the time interval to the population at the end of the time and dividing by 2.

c. The population at the beginning of the time interval.

d. The population at the beginning of the time interval + live birth.

e. The population at the end of the time interval.

32 / 60

អត្រាប្រេវ៉ាឡង់ ( Prevalent Rate/Taux de Prévalent) ត្រូវបានគណនាដូចតទៅ:

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

b. ចំនួនប្រ/ជដែលមានជំងឺកើតថ្មី+ជំងឺចាស់ ក្នុងកំឡុងពេលជាក់លាក់មួយ X 1000 ចែកនឹងប្រជាជនចុងឆ្នាំក្នុងកំឡុងពេលដូចគ្នា

c. ចំនួនប្រ/ជដែលមានជំងឺកើតថ្មីក្នុងកំឡុងពេលជាក់លាក់មួយ X 1000 ចែកនឹងប្រជាជនមធ្យមក្នុងកំឡុងពេលដូចគ្នា

d. ចំនួនប្រ/ជដែលមានជំងឺកើតថ្មី+ជំងឺចាស់ ក្នុងកំឡុងពេលជាក់លាក់មួយ X 1000 ចែកនឹងប្រជាជនដើមឆ្នាំក្នុងកំឡុងពេលដូចគ្នា

33 / 60

អ៊ីស្ដូក្រាម (Histogram) គឺជាក្រាហ្វិកមួយ:

a. ផ្សេងពីនេះ

b. ដែលមានគំនូសបន្ទះបញ្ឈរឬផ្ដេកដែលមានទទឺងស្មើគ្មា ហើយឃ្លាតពីគ្នាដោយចន្លោះទទេ

c. ដែលមានប្រយោជន៍ក្នុងការចង្អុលប្រាប់នូវទំនាក់ទំនងរវាង Variable ពីរ

d. ចង់បង្ហាញទិន្នន័យ លើសពីមួយឈុត តាមរបៀបជាការបែងចែកសង្វាក់ការកកើតនោះ

e. ដែលត្រូវបានប្រើប្រាស់សំរាប់បង្ហាញតែការបែងចែកចំនួនករណីនៃទិន្នន័យបរិមាណ

34 / 60

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:

a. 200 cases/30000 populations X1000

b. 90 cases/1500 live births X1000

c. 1500 live births X1000/ 30000

d. 50 deaths/1500 live births X1000

e. 45 cases/ 200 Live births X1000

35 / 60

ចំណុចប្រវ៉ាឡង់ (Point prévalence)

a. ចំនួននៃប្រជាជននោះដែលមានជំងឺ នៅរយៈពេលពេញ១ឆ្នាំ

b. ចំនួននៃប្រជាជននោះដែលមានជំងឺ នៅចំណុចពេលមួយ

c. ចំនួននៃប្រជាជននោះដែលមានជំងឺថ្មី+ចាស់ រយៈពេល១ឆ្នាំ

d. ចំនួននៃប្រជាជននោះដែលមានជំងឺ នៅរយៈពេលមួយ

e. ផ្សេងពីនេះ

36 / 60

នៅក្នុងខេត្តប៉ៃលិនមានទារកកើតរស់អាយុក្រោម ៧ ថ្ងៃ ៦០ នាក់និងអាយុចាប់ពី ៧ ថ្ងៃដល់ ១ ឆ្នាំមាន ៦៦០នាក់ នៅឆ្នាំ ២០១៤។ ទារកស្លាប់អាយុក្រោម ៧ ថ្ងៃស្លាប់ ៦ នាក់ និង ចាប់ពី៧ថ្ងៃដល់១ឆ្នាំស្លាប់ ៦៦ នាក់។ Taux de mortalité Post Périnatal, Post Perinatal Mortality Rateមាន:

a. ផ្សេងពីនេះ

b. ៨០/១០០០០ កើតរស់

c. ១០០/១០០០ កើតរស់

d. ៩០/១០០០ កើតរស់

e. ១០០/១០០០០ កើតរស់

37 / 60

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

a. Stillbirth rate (Late fetal death rate).

b. Perinatal mortality rate

c. Age- and sex specific death rate.

d. Crude death rate (CDR)

e. Neonatal mortality rate

38 / 60

Bias due to sampling error is:

a. A faulty measuring methods

b. A faulty measuring by lecturer.

c. Incomplete information obtained from a sample

d. Complete information obtained from a sample Bias due to sampling

e. A faulty measuring instrument.

39 / 60

មានអ្នកជំងឺចំនួន៥នាក់មកសំរាកនៅក្នុងមន្ទីរពេទ្យដោយ ជំងឺគ្រុនពោះវៀន រយៈព្យាបាលគិតជាថ្ងៃមានរយៈពេលដូចតទៅ: ២, ៣, ២, ៥, ៣។ តម្លៃ Variance គឺ:

a. ១,៣

b. ១,៥

c. ផ្សេងពីនេះ

d. ១,២

e. ១,២២

40 / 60

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

a. ចាប់ពី៧ថ្ងៃ ដល់ ១ ឆ្នាំ

b. ក្រោម ៥ ឆ្នាំ

c. ក្រោម ១ ឆ្នាំ

d. ក្រោម ៧ ថ្ងៃ

41 / 60

នៅក្នុងខេត្តប៉ៃលិនមានប្រជាជន ៦០០០០ នាក់ នៅដើមឆ្នាំ ២០១៤។ ទារកកើតរស់ក្នុងឆ្នាំនេះមាន ២៤០០ នាក់។ អត្រាទារកកើតរស់ក្នុងឆ្នាំនោះក្នុងខេត្តប៉ៃលិន មាន:

a. ៥%

b. ៣%

c. ៦%

d. ផ្សេងពីនេះ

e. ២%

42 / 60

Neonatal mortality rate is used to measure the:

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

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

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

d. Risk of dying within 28 days of birth.

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

43 / 60

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

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

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

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

d. Risk of dying within 28 days of birth.

e. Risk of dying during infancy after the first-4 weeks of life.(Post Neo)

44 / 60

The numerator of calculation post- neonatal mortality rate is:

a. # deaths of infant < 28 days of age in an area during a given period.

b. # Perinatal deaths occurring in a specified area and period of time.

c. Total # deaths due to all causes in a defined area during a defined period.

d. Total # deaths occurring in a specific age and sex group of the population of a defined area during a defined period.

e. # deaths among infants aged 4 weeks- 1 year occurring in an area during a given period.

45 / 60

ក្នុងថ្នាក់មួយមាននិសិ្សតសរុបចំនួន ៩០ នាក់ ក្នុងនោះមាននិស្សិតនារី ៣០ នាក់។ Ratio រវាងនិស្សិតបុរសនិងនារីគឺ៖

a. ៣=១

b. ២=១

c. ផ្សេងពីនេះ

d. ១=២

e. ១=៣

46 / 60

The numerator of calculation Crude death rate (CDR) is:

a. # deaths among infants aged 4 weeks- 1 year occurring in an area during a given period

b. Total # deaths due to all causes in a defined area during a defined period.

c. Total # deaths occurring in a specific age and sex group of the population of a defined area during a defined period.

d. # Perinatal deaths occurring in a specified area and period of time

e. # deaths of infant < 28 days of age in an area during a given period

47 / 60

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

a. Heart disease.

b. Depression

c. Cancer

d. Alcoholism

e. Appendicitis

48 / 60

ដើម្បីបង្ហាញអោយអ្នកមើលបានយល់លក្ខណៈដំបូងបង្អស់របស់ទិន្នន័យគឺ:

a. ប្រមូលព័ត៌មានជាតួលេខ

b. រៀបចំព័ត៌មានដាក់ក្នុងតារាង

c. គូសក្រាហ្វិក ឬផែនទី

d. ផ្សេងពីនេះ

e. វិភាគនិងបង្ហាញទិន្នន័យ

49 / 60

The categories of variable show that Male, Female and Blood type: type A, type B, type O, type AB is the type of:

a. Interval scale

b. Nominal scale

c. Ordinal scale

d. Proportional scale

e. Ratio scale

50 / 60

អត្រាមរណៈភាពនៃទារក (Neonatal mortality Rate, Taux de mortalité Néonatale) គឺជាការគណនាអត្រាមរណៈភាព សំដៅទៅលើទារកដែលមានអាយុ:

a. ក្រោម ៧ ថ្ងៃ

b. ក្រោម ៥ ឆ្នាំ

c. ចាប់ពី៧ថ្ងៃ ដល់ ១ ឆ្នាំ

d. ផ្សេងពីនេះ

e. ក្រោម ១ ឆ្នាំ

51 / 60

តើអត្រាអ្វី ដែលគេគណនា ចំនួននៃការកើតក្នុង ១ ឆ្នាំ សំរាប់ប្រជាជន ១០០ នាក់?

a. អត្រាកំណើនរបស់កុមារ

b. អត្រាកំណើត

c. អត្រាកូនកើតស្លាប់

d. អត្រាមរណៈភាព

e. ផ្សេងពីនេះ

52 / 60

Point prevalent of the disease refers to:

a. New cases

b. A specific point in time

c. Number of Child birth.

d. Old cases

e. A given time interval

53 / 60

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

a. ២០,៨០/១០០០ កើតរស់

b. ១០,៨៣/១០០០ កើតរស់

c. ២០,៨៣/១០០០ កើតរស់

d. ២០/១០០០ កើតរស់

e. ផ្សេងពីនេះ

54 / 60

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

a. Underestimate only prevalence

b. Overestimate incidence

c. Underestimate incidence and prevalence.

d. Overestimate incidence and prevalence

e. Overestimate prevalence

55 / 60

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

a. The difficult measure of central location to understand and explain.

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

c. A good descriptive measure, particularly for data analysis.

d. Excellent statistical properties and is commonly used in additional statistical manipulations and analyses.

e. The easiest measure of central location to understand and explain

56 / 60

Definition of midrange. The midrange is the:

a. Half-way point or the midpoint of a set of observations.

b. Value that occurs most often in a set of data

c. End of observations

d. Beginning of observations

e. Middle value of a set of data that has been put into rank order.

57 / 60

នៅក្នុងខេត្តប៉ៃលិនមានប្រជាជន ៦០០០០នាក់ នៅដើមឆ្នាំ២០១៤។ ទារកកើតរស់ក្នុងឆ្នាំនោះមាន ២៤០០នាក់។ មរណៈភាពទូទៅមាន ៦០០នាក់ និងប្រ/ជចុងឆ្នាំមាន:

a. ៦១៨០០ នាក់

b. ៦០០០០ នាក់

c. ៦០៩០០ នាក់

d. ៦២៤០០ នាក់

e. ៦១២០០ នាក់

58 / 60

Proportion is the expression:

a. The bases always equal 1000

b. The relationship of one part to the whole

c. The per thousand of the total number of events in a data set which occurred in each of the category (or subgroups) of that set.

d. The numerator is always not include the denominator

e. Proportion is .expressed as per thousand

59 / 60

រសិក្សាទៅលើសំណាកនៃនិស្សិតឆ្នាំទី ២Aចំនួន ១១ នាក់បានរកឃើញថានិស្សិតបានចំណាយពេលសិក្សារយៈពេល ១០០នាទីក្នុង១ថ្ងៃហើយមាន standard deviation 20 នាទី។ គេចង់ធ្វើ hypothesis testing ដើម្បីឆ្លើយទៅនឹងសំណួរថាតើ និស្សិតឆ្នាំទី ២C បានរៀនរយះពេល 2ម៉ោងដែរឬទេ។ តើគេធ្វើតេស្តមួយណាខាងក្រោម?

a. . Estimation methods

b. . two-sided hypothesis testing

c. . one-sided hypothesis testing

d. . two-sided hypothesis testing សំរាប់សំណាក២ក្រុម

60 / 60

ការសិក្សាទៅលើសំណាកនៃនិស្សិតឆ្នាំទី២A ចំនួន១៥នាក់ រកឃើញថានិស្សិតបានចំណាយពេលសិក្សានៅផ្ទះរយៈពេលមធ្យម ១២០នាទី ក្នុង១ ថ្ងៃ ហើយមាន standard deviation ៦០នាទី ហើយការសិក្សាទៅលើសំណាកនិស្សិតឆ្នាំទី ២Cចំនួន ១១នាក់បានរកឃើញថានិស្សិតបានចំណាយពេលសិក្សារយៈពេល ១០០នាទីក្នុង១ថ្ងៃហើយមាន standard
deviation 20 នាទី។គេចង់ប្រៀបធៀបថាតើនិស្សិតឆ្នាំទី ២A និង 2 B បានចំណាយពេលសិក្សាស្មើរគ្នាដែរឬទេ តើគេត្រូវធ្វើ hypothesis testing ប្រភេទណា?

a. . one-sided hypothesis testing សំរាប់សំណាក១ក្រុម

b. . two-sided hypothesis testing សំរាប់សំណាក១ក្រុម

c. . one sided hypothesis testing សំរាប់សំណាក ២ក្រុម

d. . two-sided hypothesis testing សំរាប់សំណាក២ក្រុម

Your score is

The average score is 0%

Any comments?

Any problems/errors or mistakes found while testing, please let us know for modification!

និស្សិតអាចប្រាប់មកកាន់ពួកយើងបានដើម្បីកែកំហុស ឬអំពីបញ្ហាដោយអចេតនាណាមួយដែលកើតមានកំឡុងពេលធ្វើតេស្ត