Santé Publique Test

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Santé Publique Test

1 / 60

If an event has a probability of 0.1 it is:

a. Very likely to happen.

b. Very unlikely to happen.

c. Certain to happen

d. Impossible to happen

2 / 60

On the statements below what is valid statements of probability:

a. My probability of winning the lottery is less than 0.

b. We are 150% certain of success

c. Our probability of dying is 100%

d. The probability of this patient will cure is more than 100%

3 / 60

What is the wrong interpretation of 95% confidence interval:

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

4 / 60

When the new drug was clinically tested, 117 patients reported headaches and 617 did not. Based on this sample what is the probability that a new drug user will experience a headache:

a. 117/617

b. 617/117

c. 617/(117+617)

d. 117/(117+617)

5 / 60

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

a. .A median of values constructed from sample data

b. .A range of values constructed from sample data

c. .A mean of values constructed from sample data

d. .A standard deviation of values constructed from sample data

6 / 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 does not 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 shows signs or symptoms of the disease

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

7 / 60

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

a. The sampling error of the estimate

b. The sampling distribution.

c. The validity of the estimate

d. The precision of the estimate

8 / 60

In inferential statistics, we study

a. How to estimate the sample size

b. The methods to make decisions about population based on sample results

c. How a sample is obtained from a population

d. How to make decisions about mean, median, or mode

9 / 60

In descriptive statistics, we study:

a. How to calculate the sample size in a study

b. The description of decision making process

c. The methods for organizing, displaying and describing data

d. How to describe the probability distribution

10 / 60

In statistics, a population consists of

a. All people living in a country

b. All people living in the area under study

c. All subjects or objects whose characteristics are being studied

d. All people who developing disease

11 / 60

Which below statement is not correct:

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

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

c. Confidence interval describes the precision of the estimate

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

12 / 60

The Negative Predictive Value was 98% means that:

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

b. The prevalence rate is 98%

c. The prevalence of disease was 98%

d. The incidence of disease was 98%

13 / 60

The negative predictive value of a test decreases:

a. The number of population stable

b. The incidence of disease increase

c. The prevalence of disease decreases

d. Prevalence of the disease in the population increases

14 / 60

A positive predictive value of a test increases as:

a. The prevalence of disease in the population decreases

b. The prevalence of disease in the population is constant

c. The incidence of disease in the population increases

d. The prevalence of disease in the population increases

15 / 60

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

a. Descriptive statistics

b. Comparative biostatistics

c. Test statistics

d. Inferential biostatistics

16 / 60

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

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

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

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

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

17 / 60

Population census is conducted through

a. Investigation

b. Accounting

c. Sample survey

d. Complete enumeration

18 / 60

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

a. Within the range values of sample

b. Within the confidence interval

c. Within a standard deviation of a sample

d. Within a standard deviation of a population

19 / 60

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

a. The means of sample

b. The sample size, n.

c. The desired level of confidence.

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

20 / 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 2%.

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

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

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

21 / 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 proportion of patients who test negative who are actually free of 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 ability of the test to identify correctly those who have the disease from all individuals with the disease

22 / 60

What is the correct statement of validity 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.

23 / 60

On the statements below which are validstatements of probability:

a. We are 150% certain of success.

b. We are 101% certain of success.

c. My probability of winning the lottery is less than 0.

d. Our probability of dying is 100%

24 / 60

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

a. .A 99% confidence interval

b. .A 98% confidence interval

c. .A 90% confidence interval

d. .A 95% confidence interval

25 / 60

A positive predictive value depend on:

a. The incidence of the disease in the population tested

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

c. The prevalence of the disease in the population tested

d. The mortality of the disease in the population tested

26 / 60

ឃ្លាខាងក្រោមនេះសុទ្ធតែត្រឹមត្រូវ លើកលែងតែ៖

a. ផ្សេងពីនេះ

b. ទិន្នន័យខ្លះមានម៉ូដតែមួយ ខ្លះទៀតមានម៉ូតច្រើន តែមិនអាចមានទិន្នន័យដែលគ្មានម៉ូតទេ

c. ម៉ូដ (Mode) ជាតំលៃដែលមានសង្វាក់កកើតខ្ពស់ជាងគេ (Highest frequency)

d. ទិន្នន័យខ្លះមានម៉ូដតែមួយ ខ្លះទៀតមានម៉ូតច្រើន តែអាចមានទិន្នន័យដែលគ្មានម៉ូតដែរ

e. ម៉ូដមិនប្រែប្រួលទៅតាមតំលៃទាបពេក រឺ ខ្ពស់ពេក (Extreme Value)ឡើយ

27 / 60

The result of evaluation show that Good, Average, Poor Fully agree, agree, doubt, disagree .totally disagree is the type of:

a. Interval scale

b. Nominal scale

c. Ratio scale

d. Proportional scale.

e. Ordinal scale

28 / 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 easiest measure of central location to understand and explain

c. the difficult 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

29 / 60

តារាងដែលមាន Variable មួយ គឺមាន:

a. ៣ជួរ

b. បួនជួរ

c. ពីរជួរ

d. មួយជួរ

e. ផ្សេងពីនេះ

30 / 60

Definition of midrange. The midrange is the:

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

b. End of observations

c. Beginning of observations

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

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

31 / 60

ម៉ូត (Mode) គឺជា:

a. ផ្សេងពីនេះ

b. រង្វាស់និន្នាការកណ្ដាលរបស់តម្លៃ១ក្រុម

c. តម្លៃទីពាក់កណ្ដាលដែលបែងចែកចំនួនតម្លៃក្នុងក្រុមមួយ

d. តម្លៃដែលមានញឹកញាប់ជាងគេក្នុងក្រុមតម្លៃមួយ

e. មធ្យមភាគនៃតម្លៃ ១ក្រុម

32 / 60

នៅក្នុងខេត្តប៉ៃលិនមានប្រជាជន៦០០០០ នាក់ នៅដើមឆ្នាំ ២០១៤។ ទារកកើតរស់ក្នុងឆ្នាំនោះមាន ៤% កុមារស្លាប់អាយុក្រោម ២៨ ថ្ងៃ មាន ៣០% នៃកុមារកើតរស់សរុបនិងស្លាប់ ៣៦ នាក់។ Taux de mortalité Néonatal, Neonatal Mortality Rate មាន:

a. ៥០/១០០០០ កើតរស់

b. ៥០/១០០ កើតរស់

c. ផ្សេងពីនេះ

d. ៥/១០០០ កើតរស់

e. ៥០/១០០០ កើតរស់

33 / 60

A high prevalence may be due to:

a. High incidence, a protracted duration or both.

b. An effective prevention program

c. Enhanced resistance to the disease

d. A decrease in incidence

e. A short duration of disease due to either improved treatment methods

34 / 60

The numerator of calculation perinatal mortality rate is:

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

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

c. Total # deaths due to all causes in 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

35 / 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. Crude death rate (CDR)

b. Age- and sex specific death rate.

c. Perinatal mortality rate.

d. Stillbirth rate (Late fetal death rate).

e. Neonatal mortality rate

36 / 60

Definition of median, Median is:

a. The middle value of a set of data that has been put into rank order

b. Occurs most often in a set of data

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

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

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

37 / 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. Ratio scale

e. Proportional scale

38 / 60

Definition of mid range, mid range is:

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

b. Occurs most often in a set of data

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

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

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

39 / 60

To measure the risk of dying within 28 days of birth, by calculation of:

a. Perinatal mortality rate.

b. Neonatal mortality rate.

c. Stillbirth rate (Late fetal death rate).

d. Age- and sex specific death rate.

e. Crude death rate (CDR)

40 / 60

To measure the risk of dying during infancy after the first-4 weeks of life, by calculation of:

a. Case fatality rate (CFR)

b. Post- neonatal mortality rate.

c. Maternal mortality rate (MMR)

d. Infant mortality rate

e. Causes- specific death rate (CSDR)

41 / 60

គេប្រើប្រាស់ប្រេវ៉ាឡង់ (Prevalent) ដើម្បីបង្ហាញ:

a. ផ្សេងពីនេះ

b. ជម្ងឺដែលសល់ពីឆ្នាំចាស់

c. ជម្ងឺស្រួចស្រាវ (Maladies aigues)

d. មានការរាតត្បាតនៃជម្ងឺ (Epidemic)

e. ជម្ងឺរុំារៃ (Maladies chroniques)

42 / 60

Definition of ordinal scale, an ordinal scale assigns:

a. A measurement begins at a true zero point and the scale has equal intervals.

b. Each measurement to one of an unlimited number of categories that are ranked in terms of a graded order.

c. To 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.

d. Each measurement to one of a limited number of categories that are ranked in terms of a graded order

e. Each measurement to one of unlimited number of categories that are equally spaced

43 / 60

នៅក្នុងខេត្តប៉ៃលិនមានប្រជាជន មធ្យម ៦០០០០ នាក់ មានជំងឺរបេងសកម្មភាពកើតថ្មីត្រូវបានរកឃើញនៅកំឡុងឆ្នាំ ២០១៤មានចំនួន ៦០ នាក់, ជំងឺរបេងសកមសល់ពីឆ្នាំចាស់ (២០១៣) មានចំនួន ២០ នាក់ ហើយឈឺបន្ដដល់ចុងឆ្នាំ ២០១៤។ អត្រាអាំងស៊ីដង់ជ/ង របេងគឺ:

a. ១,៣៣/១០០០ នាក់

b. ១/១០០០ នាក់

c. ១,៣០/១០០០ នាក់

d. ផ្សេងពីនេះ

e. ១/១០០ នាក់

44 / 60

The population beginning of the year 2000 in Rattanakiri province has 60000 populations (P) and the end of the same year and same place have 70000 populations.All cases of mortality are 200 cases. # Live births = 12000 live births. The mean population in Rattanakiri in year 2000 has:

a. (60000P+70000P)/2

b. 60000P +12000 Live births

c. 60000P

d. 60000P-200 deaths

e. 70000P

45 / 60

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

a. ក្រោម ១ ឆ្នាំ

b. ចាប់ពី៧ថ្ងៃ ដល់ ១ ឆ្នាំ

c. ផ្សេងពីនេះ

d. ក្រោម ៥ ឆ្នាំ

e. ក្រោម ៧ ថ្ងៃ

46 / 60

Proportion is the expression:

a. 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.

b. The relationship of one part to the whole

c. The bases always equal 1000

d. The numerator is always not include the denominator

e. Proportion is .expressed as per thousand

47 / 60

To measure the average risk of death in the population at large, 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

Prevalence is useful:

a. Provides information on the effectiveness of control programs.

b. Provides information on the effectiveness of disease prevention

c. An estimate of disease incidence.

d. In estimating the need for facilities and personnel.

e. Information about the risk

49 / 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. 200 cases/30000 populations X1000

b. 1500 live births X1000/ 3000062

c. 50 deaths/1500 live births X1000

d. 45 cases/ 200 Live births X1000

e. 90 cases/1500 live births X1000

50 / 60

Bias: The true biologic variation in clinical measurement is:

a. Each of which contributes a small random effect.

b. The sum many unknown factors ,

c. Measurement to exceed the true value as they are to be positive.

d. The sum many unknown factors, each of which contributes a small random effect.

e. Random effects based on the lows of probability are as likely to be negative.

51 / 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. Average risk of death in the population at large.

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

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

e. Risk of dying within 28 days of birth.

52 / 60

The numerator of calculation neonatal mortality rate is:

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

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

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

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

e. # perinatal deaths occurring in a specified area and period of time.

53 / 60

ចម្លើយទាំងអស់ខាងក្រោមនេះ សុទ្ធតែត្រឹមត្រូវ លើកលែងតែចម្លើយមួយដែលខុសអត្រាមរណៈភាពរួមគឺ៖

a. ផ្សេងពីនេះ

b. អត្រាមរណៈភាពសរុប

c. អត្រាមរណៈភាពតាមក្រុម ភេទ អាយុ

d. អត្រាមរណៈភាពគ្រប់មូលហេតុ

e. អត្រាមរណៈភាពទូទៅ

54 / 60

ការសិក្សាទៅលើសំណាកនៃនិស្សិតឆ្នាំទី២A ចំនួន១៥នាក់ រកឃើញថានិស្សិតបានចំណាយពេលសិក្សារយៈពេលមធ្យម ១២០នាទី ក្នុង១ ថ្ងៃ ហើយមាន standard deviation ៦០នាទី ហើយការសិក្សាទៅលើសំណាកនិស្សិតឆ្នាំទី ២Cចំនួន ១១ នាក់បានរកឃើញថានិស្សិតបានចំណាយពេលសិក្សារយៈពេល ១០០នាទីក្នុង១ថ្ងៃហើយមាន standard deviation 20 នាទី។គេចង់ប្រៀបធៀបថាតើនិស្សិតឆ្នាំទី ២A និង 2 B បានចំណាយពេលសិក្សាស្មើរគ្នាដែរឬទេ តើគេត្រូវសរសេរ statistical hypothesis យ៉ាងដូចម្តេច?

a. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ = រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C; Ha: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ ≠ រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C

b. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ ≤ រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C; Ha: និស្សិតថ្នាក់ទី ២A បានចំណាយពេលសិក្សានៅផ្ទះ > រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C

c. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ ≥ រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C; Ha: និស្សិតថ្នាក់ទី ២A បានចំណាយពេលសិក្សានៅផ្ទះ < រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C

d. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ ≠ រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C; Ha: និស្សិតថ្នាក់ទី ២A បានចំណាយពេលសិក្សានៅផ្ទះ = រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C

55 / 60

តើអ្វីខ្លះជាផ្នែករបស់ Inferential statistics?

a. . Measure of dispersion

b. . Hypothesis testing & Estimation

c. . Measure of Central of tendency & measures of dispersion

d. . Mean & Confidence interval

56 / 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 ច្រើនជាង ២ ម៉ោង; Ha: និស្សិតថ្នាក់ទី ២A បានចំណាយពេលសិក្សានៅផ្ទះ តិចជាង ២ ម៉ោង

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

57 / 60

តើអ្វីខ្លះដែលជាផ្នែករបស់ Inferential statistics?

a. . Standard deviation

b. . Variance

c. . Estimation

d. . Median

58 / 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. . two-sided hypothesis testing សំរាប់សំណាក១ក្រុម

b. . one sided hypothesis testing សំរាប់សំណាក ២ក្រុម

c. . two-sided hypothesis testing សំរាប់សំណាក២ក្រុម

d. . one-sided hypothesis testing សំរាប់សំណាក១ក្រុម

59 / 60

រាល់មានអ្នកស្រាវជ្រាវប្រើប្រាស់ hypothesis testing មានកំហុស(error) ពីរដែលអាចកើតឡើង។ តើឃ្លាខាងក្រោមនេះ ឃ្លាមួយណាដែលត្រឹមទៅនឹងនិយមន័យរបស់ប្រភេទរបស់ error?

a. . Type I error កើតឡើងនៅពេលដែលយើងទាត់ចោល H0 នៅពេលដែលវាពិត

b. . Type I error កើតឡើងនៅពេលដែលយើងទាត់ចោល H0 នៅពេលដែលវាមិនពិត

c. . Type I error កើតឡើងនៅពេលដែលយើងមិនទាត់ចោល H0 នៅពេលដែលវាពិត

d. . Type I error កើតឡើងនៅពេលដែលយើងមិនទាត់ចោល H0 នៅពេលដែលវាមិនពិត

60 / 60

តើអ្វីខ្លះដែលមិនមែនជាផ្នែករបស់Descriptive statistics?

a. . Estimation & Hypothesis testing

b. . Probability

c. . Measure of Central of tendency

d. . Measure of dispersion

Your score is

The average score is 93%

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

និស្សិតអាចប្រាប់មកកាន់ពួកយើងបានដើម្បីកែកំហុស ឬអំពីបញ្ហាដោយអចេតនាណាមួយដែលកើតមានកំឡុងពេលធ្វើតេស្ត