Santé Publique Test

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Santé Publique Test

1 / 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. Female 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

2 / 60

All of them are the true answers only one is the false answer. Find the false answer: Defining disease occurrences: the method used to define cases affects the accuracy of frequency measures is:

a. Identifying cases by reviewing health records from public and private sector.

b. Identifying cases by reviewing health records

c. Counting recurrences

d. Identifying cases from personal interviews

e. Identifying cases by clinical evaluation

3 / 60

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

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

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 that are skewed, because it is the central point of the distribution.

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

4 / 60

Add all of the observed values in the distribution and divide the sum by the number of observations is the formula for calculate the:

a. Median

b. Ratio

c. Mode

d. Mean

e. Mid range

5 / 60

ប្រេវ៉ាឡង់ ត្រូវបានគណនាដូចតទៅ:

a. ករណីជំងឺកើតថ្មី + និងជំងឺចាង់ក្នុងកំឡុងពេលមួយ នៅលើប្រជាជនជាក់លាក់មួយ

b. ចំនួនករណីជំងឺកើតថ្មី+ ជំងឺចាស់ X ១០០០ ចែកនឹង ប្រជាជនមធ្យម

c. ចំនួនករណីជំងឺកើតថ្មី X ១០០០ ចែកនឹង ប្រជាជនមធ្យម

d. ចំនួនករណីជំងឺកើតថ្មី ដែលកើតមានក្នុងកំឡុងពេលមួយ នៅលើប្រជាជនជាក់លាក់មួយ

e. ជាចំនួនករណីជំងឺ នៅចំណុចជាក់លាក់មួយ ក្នុងប្រជាជនកំណត់មួយ

6 / 60

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

a. ក្រោម ៥ ឆ្នាំ

b. ក្រោម ១ ឆ្នាំ

c. ចាប់ពី៧ថ្ងៃ ដល់ ១ ឆ្នាំ

d. ក្រោម ២៨ ថ្ងៃ

e. ក្រោម ៧ ថ្ងៃ

7 / 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. 50 deaths/1500 live births X1000

c. 45 cases/ 200 Live births X1000

d. 1500 live births X1000/ 3000062

e. 200 cases/30000 populations X1000

8 / 60

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

a. Infant mortality rate.

b. Causes- specific death rate (CSDR)

c. Maternal mortality rate (MMR)

d. Post- neonatal mortality rate.

e. Case fatality rate (CFR)

9 / 60

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

a. ក្រោម ៥ ឆ្នាំ

b. ក្រោម ១ ឆ្នាំ

c. ក្រោម ៧ ថ្ងៃ

d. ចាប់ពី៧ថ្ងៃ ដល់ ១ ឆ្នាំ

10 / 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. 50 deaths/1500 live births X1000

b. 1500 live births X1000/ 30000

c. 200 cases/30000 populations X1000

d. 90 cases/1500 live births X1000

e. 45 cases/ 200 Live births X1000

11 / 60

អ៊ីស្ដូក្រាម (Histogram) គឺជាក្រាហ្វិកមួយ:

a. ផ្សេងពីនេះ

b. ចង់បង្ហាញទិន្នន័យ លើសពីមួយឈុត តាមរបៀបជាការបែងចែកសង្វាក់ការកកើតនោះ

c. ដែលត្រូវបានប្រើប្រាស់សំរាប់បង្ហាញតែការបែងចែកចំនួនករណីនៃទិន្នន័យបរិមាណ

d. ដែលមានប្រយោជន៍ក្នុងការចង្អុលប្រាប់នូវទំនាក់ទំនងរវាង Variable ពីរ

e. ដែលមានគំនូសបន្ទះបញ្ឈរឬផ្ដេកដែលមានទទឺងស្មើគ្មា ហើយឃ្លាតពីគ្នាដោយចន្លោះទទេ

12 / 60

Ratio expresses the relationship between:

a. 3 items

b. 4 items

c. 5 items

d. 2 items

e. 1 items

13 / 60

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

a. ១,៣០/១០០០ នាក់

b. ១,៣៣/១០០០ នាក់

c. ផ្សេងពីនេះ

d. ១/១០០ នាក់

e. ១/១០០០ នាក់

14 / 60

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

a. ផ្សេងពីនេះ

b. ២%

c. ៥%

d. ៦%

e. ៣%

15 / 60

Qualitative variables are measured at the:

a. Ratio level

b. Rate level

c. Numerical level

d. Proportional level

e. Nominal level

16 / 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) /120

b. (10 X 100) /80

c. (40 X100) /200

d. (10 X 100) /200

e. (50 X100) / 200

17 / 60

ឃ្លាខាងក្រោមនេះសុទ្ធតែត្រឹមត្រូវលើកលែងតែឃ្លាមួយដែលខុស ការគណនាចំនួនករណីនៃជម្ងឺអាំងស៊ីដង់និងប្រេវ៉ាឡង់ផ្ដល់ អោយចំនួនអ្នកជ/ងដែលគួរអោយទុកចិត្តបាន (The calculation of both prevalence and incidence requires a reliable estimate of the numberof individuals with the disease). មធ្យោបាយប្រើប្រាស់សំរាប់កំណត់ចំនួនករណីអ្នកជ/ងរួមមាន:

a. ផ្សេងពីនេះ

b. សម្ភាសន៍ ជាមួយអ្នកជម្ងឺ (Personal interviews)

c. ពិនិត្យរបាយការណ៍សុខភាព (Reviewing health records)

d. ស្រង់ស្ថិតិអ្នកជម្ងឺតាមភូមិឃុំ (Health record from villages and communes)

e. រោគសញ្ញាគ្លីនិក (Clinical evaluation)

18 / 60

មធ្យមភាគ (Mean, Moyenne)គឺជា:

a. តំលៃដែលគិតជាសមាមាត្រ

b. តំលៃសរុបរួម

c. ផ្សេងពីនេះ

d. តំលៃដែលមានញឹកញាប់ជាងគេក្នុងក្រុមតំលៃមួយ

e. តំលៃទីពាក់កណ្ដាល ដែលបែងចែកចំនួនតំលៃក្នុងក្រុមមួយ ជាពីផ្នែកស្មើគ្នា

19 / 60

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

a. ផ្សេងពីនេះ

b. ក្រោម ៥ ឆ្នាំ

c. ក្រោម ៧ ថ្ងៃ

d. ចាប់ពី៧ថ្ងៃ ដល់ ១ ឆ្នាំ

e. ក្រោម ១ ឆ្នាំ

20 / 60

Incidence of disease refers to the number that develop in a population at risk for the disease over a specified period time of:

a. Old cases

b. Number of live birth

c. New + Old cases

d. Death cases

e. New cases.

21 / 60

តើអត្រាអ្វី ដែលគេគណនា ចំនួននៃទារកស្លាប់ អាយុក្រោម ៧ ថ្ងៃ?

a. Taux de mortalité infantile / Infant Mortality Rate

b. Taux de mortalité Périnatal / Périnatal Mortality Rate

c. Taux de mortalité Maternelle, Maternal Mortality Rate

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

e. Taux de mortalité Néonatale/ / Néonatal Mortality Rate

22 / 60

Definition of midrange. The midrange is the:

a. Beginning of observations

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

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

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

e. End of observations

23 / 60

Definition of ordinal scale, an ordinal scale assigns:

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

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

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

d. 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.

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

24 / 60

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:

a. Mid range

b. Ratio

c. Mean

d. Median

e. Mode

25 / 60

នេះជាចំងាយផ្លូវគិតជាគីឡូម៉ែត្រពីផ្ទះរបស់អ្នកជំងឺ ៦នាក់មកមណ្ឌលសុខភាពមួយ: 4,7,3,5,3,8។ ប្រសិនបើ 8 ត្រូវបានគេកត់ច្រឡំជា 80 វិញ តើនឹងមានការប្រែប្រួលអ្វីកើតឡើង?

a. មានការប្រែប្រួលនៃតំលៃកណ្ដាល (Median)

b. មានការកើនឡើងទាំងតម្លៃកណ្ដាល (Median) និងមធ្យមភាគ (Mean)

c. មានការកើនឡើងនៃមធ្យមភាគ (Mean)

d. មានការប្រែប្រួលនៃម៉ូដ( Mode)

e. មានការកើនឡើងនៃតម្លៃកណ្ដាល (Median) ម៉ូដ (Mode) និង មធ្យមភាគ (Mean)

26 / 60

The scale used to measure variable has divided to:

a. 3 basic types

b. 2 basic types

c. 4 basic types

d. 1 basic type

e. 5 basic types

27 / 60

ក្នុងចំណោមទារក ១០០០ កើតរងស់ មានទារកស្លាប់ ៦០ នាក់ អាយុក្រោម ២៨ ថ្ងៃ សុច្ចនាករនេះបញ្ជាក់ ការគណនា៖

a. Taux de mortalité Maternelle, Maternal Mortality Rate

b. ផ្សេងពីនេះ

c. Taux de mortalité Néonatale , Neonatal Mortality Rate

d. Taux de mortalité Périnatal , Perinatal Mortality Rate

e. Taux de mortalité infantile, Infant Mortality Rate

28 / 60

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

a. # deaths of infant < 1 year of age occurring in a specified area and period.

b. # deaths assigned to a specified cause during a given time interval.

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

d. Total # of deaths due to a given disease / condition occurring in an area during a given period.

e. Total # Female deaths due to complication of pregnancy childbirth and the puerperium in an area during a given time.

29 / 60

ចំណុចប្រវ៉ាឡង់ (Point prévalence)

a. ចំនួននៃប្រជាជននោះដែលមានជំងឺ នៅរយៈពេលពេញ១ឆ្នាំ

b. ផ្សេងពីនេះ

c. ចំនួននៃប្រជាជននោះដែលមានជំងឺ នៅរយៈពេលមួយ

d. ចំនួននៃប្រជាជននោះដែលមានជំងឺថ្មី+ចាស់ រយៈពេល១ឆ្នាំ

e. ចំនួននៃប្រជាជននោះដែលមានជំងឺ នៅចំណុចពេលមួយ

30 / 60

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

a. Underestimate only prevalence disease.

b. Underestimate prevalence disease

c. Overestimate incidence disease.

d. Overestimate disease frequency.

e. Underestimate disease frequency

31 / 60

Evaluating accuracy: The accuracy of a set of clinical measurements is determined by comparing the true underlying value of the variable with the:

a. Mid range

b. Median

c. Mode

d. Average

e. Mid point

32 / 60

សមាមាត្រស្លាប់នៃអ្នកជំងឺ (Case fatality Rate CFR) ស្មើនឹង:

a. ចំនួនអ្នកស្លាប់ដោយជំងឺមួយ ក្នុងកំឡុងពេលជាក់លាក់មួយ X100 ចែកចំនួនករណីអ្នកជំងឺសរុបក្នុងកំឡុងពេលដូចគ្នា

b. ចំនួនអ្នកស្លាប់ដោយជំងឺមួយ ក្នុងកំឡុងពេលជាក់លាក់មួយ X100 ចែកចំនួនករណីអ្នកជំងឺធ្ងន់ធ្ងរក្នុងកំឡុងពេលដូចគ្នា

c. ចំនួនអ្នកស្លាប់ដោយជំងឺមួយ ក្នុងកំឡុងពេលជាក់លាក់មួយ X100 ចែកចំនួនប្រជាជនមធ្យម

d. ចំនួនអ្នកស្លាប់ដោយជំងឺមួយ ក្នុងកំឡុងពេលជាក់លាក់មួយ X100 ចែកចំនួនករណី អ្នកស្លាប់សរុប

e. ផ្សេងពីនេះ

33 / 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. ១០០/១០០០០ កើតរស់

d. ១០០/១០០០ កើតរស់

e. ៩០/១០០០ កើតរស់

34 / 60

ការសិក្សាទៅលើសំណាកនៃនិស្សិតឆ្នាំទី២A ចំនួន១៥នាក់ រកឃើញថានិស្សិតបានចំណាយពេលសិក្សានៅផ្ទះរយះពេលមធ្យម ១២០នាទី ក្នុង១ ថ្ងៃ ហើយមាន standard deviation ៦០នាទី ហើយការសិក្សាទៅលើសំណាកនិស្សិតឆ្នាំទី ២Cចំនួន ១១ នាក់បានរកឃើញថានិស្សិតបានចំណាយពេលសិក្សារយៈពេល ១០០នាទីក្នុង១ថ្ងៃហើយមាន standard deviation 20 នាទី។គេចង់ប្រៀបធៀបថាតើនិស្សិតឆ្នាំទី ២A បានចំណាយពេលរៀនច្រើនជាងនិស្សិតឆ្នាំទី 2 C។ តើគេត្រូវសរសេរ statistical hypothesis យ៉ាងដូចម្តេច?

a. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្្ទះ ≤ រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C; Ha និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ > រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C

b. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្្ទះ = រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C; Ha និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ ≠ រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C

c. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្្ទះ ≠ រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C; Ha និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ = រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C

d. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្្ទះ ≥ រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C; Ha និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ < រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C

35 / 60

តើអ្វីខ្លះជាផ្នែករបស់ Inferential statistics?

a. . Hypothesis testing & Estimation

b. . Measure of dispersion

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

d. . Mean & Confidence interval

36 / 60

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

a. . One sided, one sample hypothesis testing

b. . One sided, two sample hypothesis testing

c. . Two sided, one sample hypothesis testing

d. . Two sided, two sample hypothesis testing

37 / 60

A positive predictive value depend on:

a. The sensitivity of the disease in the population tested

b. The incidence of the disease in the population tested

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

d. The mortality of the disease in the population tested

38 / 60

Chose the incorrect statement describe the diagnostic test:

a. Diagnostic tests are always perfect.

b. Diagnostic tests are sometimes provide false positive result

c. Diagnostic tests are sometimes provide false negative result

d. Diagnostic tests are never perfect.

39 / 60

Which below statement is not correct:

a. Statistics are known values computed from a sample

b. Statistics are random variables because they differ from sample to sample

c. Point estimates are not calculated from sample.

d. An estimate of the parameter based on observed information in the sample

40 / 60

The Positive Predictive Value depends on:

a. Prevalence of the disease in the population tested,

b. The number of population

c. The prevalence of disease

d. The incidence of disease

41 / 60

A numerical value used as a summary measure for a sample, such as sample mean, is known as a

a. Population parameter

b. Population mean

c. Sample parameter

d. Sample statistic

42 / 60

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

a. To save money

b. To draw inferences about that population

c. To save time

d. To provide evidence of the study result

43 / 60

A screening test result for cervical cancer show that PPV= 67%. It means that:

a. Among those who had a positive screening new test, the probability of cervical cancer was 33%

b. Among those who had a positive screening new test, the probability of cervical cancer was more than 67%

c. Among those who had a positive screening new test, the probability of cervical cancer was less than 67%

d. Among those who had a positive screening new test, the probability of cervical cancer was 67%.

44 / 60

What is the correct statement of diagnostic test:

a. .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

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. The diagnostic test is performed before a positive screening

d. .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

45 / 60

Reliability of a test means that:

a. The results of a test or measure are incorrect each time it is conducted

b. The results of a test or measure are identical or closely similar each time it is conducted

c. The results of a test or measure are not identical or closely similar each time it is conducted

d. The results of a test or measure are changed each time it is conducted

46 / 60

If an event has a probability of 0.8 it is:

a. Impossible to happen

b. Certain to happen

c. Unlikely to happen

d. Likely to happen.

47 / 60

When data are collected in a statistical study for only a portion or subset of all elements of interest we are using

a. .A parameter

b. An observation

c. .A sample

d. .A population

48 / 60

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

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

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

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

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

49 / 60

The standard error of the mean of a sample is:

a. Increased as the sample size increases

b. An estimate of the standard deviation of the population

c. Not used to determine confidence limit

d. Not based on a normal distribution

50 / 60

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

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

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

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

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

51 / 60

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:

a. 255/(255+2302)

b. 255/2302

c. 2302/(255+2302)

d. 2302/255

52 / 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 rate is 44%

d. The prevalence of disease was 44%

53 / 60

Since the population size is always larger than the sample size, then the sample statistic

a. Can be smaller, larger, or equal to the population parameter

b. Can never be smaller than the population parameter

c. Can never be larger than the population parameter

d. Can never be equal to the population parameter

54 / 60

What is the statement of sensitivity of a diagnostic test:

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

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

55 / 60

The width of a confidence interval is influenced by:

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

b. The desired level of confidence

c. The population parameter.

d. The sample size determination

56 / 60

If an event has a probability of 0.1 it is:

a. Certain to happen

b. Impossible to happen

c. Very unlikely to happen.

d. Very likely to happen.

57 / 60

On the statements below what is valid statements of probability:

a. .A woman’s probability of suffering from breast cancer in her life-time is less than 0.

b. .A woman’s probability of suffering from breast cancer in her life-time is more than 1

c. .A woman’s probability of suffering from breast cancer in her life-time is 12 in 1

d. .A woman’s probability of suffering from breast cancer in her life-time is 1 in 12

58 / 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. 3%

c. 46%

d. 43%

59 / 60

We measure the sample using statistics in order to:

a. Draw inferences about the parameters of the population

b. To provide the reliability of the study result

c. Draw conclusion about the sample size

d. To provide the validity of the study result

60 / 60

A positive predictive value of a test increases as:

a. The incidence of disease in the population increases

b. The prevalence of disease in the population decreases

c. The prevalence of disease in the population is constant

d. The prevalence of disease in the population increases

Your score is

The average score is 0%

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និស្សិតអាចប្រាប់មកកាន់ពួកយើងបានដើម្បីកែកំហុស ឬអំពីបញ្ហាដោយអចេតនាណាមួយដែលកើតមានកំឡុងពេលធ្វើតេស្ត