Santé Publique Test – testnisset.com

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Santé Publique Test

1 / 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, two sample hypothesis testing

c. . One sided, one sample hypothesis testing

d. . Two sided, one sample hypothesis testing

2 / 60

ការសិក្សាទៅលើសំណាកនៃនិស្សិតឆ្នាំទី២B ចំនួន១៥នាក់ រកឃើញថានិស្សិតបានចំណាយពេលសិក្សានៅបណ្ណាល័យជាមធ្យម 50 នាទី ក្នុង១ ថ្ងៃ។ គេចង់ធ្វើ hypothesis testing ដោយសរសេថា H0: រយះពេលសិក្សាក្នុងបណ្ណាល័យស្មើ ៦០នាទី និង Ha: រយះពេលសិក្សាក្នុងបណ្ណាល័យ ≠ ៦០នាទី។ ការធ្វើតេស្តបែបនេះជាប្រភេទ

a. . One sided, two sample hypothesis testing

b. . One sided, one sample hypothesis testing

c. . Two sided, two sample hypothesis testing

d. . Two sided, one sample hypothesis testing

3 / 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

4 / 60

នៅក្នុង One sided hypothesis testing, យើងអាច Reject H0 ដោយប្រើប្រាស់ Z ឬ t Distribution

a. . ក្នុងតំបន់ចំនួន ១ ខាងឆ្វេង នៃ Distribution

b. . ក្នុងតំបន់ចំនួន ១ ខាងស្តាំង នៃ Distribution

c. . ក្នុងតំបន់ចំនួន ១ ដែលអាចនៅខាងស្តាំ ឬ ខាងឆ្វេងនៃ Distribution អាស្រ័យទៅតាម null hopothesis

d. . ក្នុងតំបន់ចំនួន ២ (ទាំងសងខាង) នៃ Distribution

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តើអ្វីខ្លះដែលមិនមែនជាផ្នែករបស់Descriptive statistics?

a. . Measure of dispersion

b. . Estimation & Hypothesis testing

c. . Probability

d. . Measure of Central of tendency

6 / 60

តើអ្វីខ្លះជាផ្នែករបស់ Inferential statistics?

a. . Hypothesis testing & Estimation

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

c. . Mean & Confidence interval

d. . Measure of dispersion

7 / 60

True biologic variation in clinical measurement is the sum:

a. Each of which contributes a big random effect

b. Many known factors and high of probability

c. High of probability

d. Many unknown factors

e. Many known factors

8 / 60

Age- and sex specific death rate is used to measure the:

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

b. Risk of dying within 28 days of birth.

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

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

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

9 / 60

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

a. Overestimate incidence

b. Underestimate incidence and prevalence.

c. Overestimate prevalence

d. Overestimate incidence and prevalence

e. Underestimate only prevalence

10 / 60

ប្រេវ៉ាឡង់ ត្រូវបានគណនាដូចតទៅ:

a. ចំនួនករណីជំងឺកើតថ្មី X ១០០០ ចែកនឹង ប្រជាជនមធ្យម

b. ជាចំនួនករណីជំងឺ នៅចំណុចជាក់លាក់មួយ ក្នុងប្រជាជនកំណត់មួយ

c. ចំនួនករណីជំងឺកើតថ្មី+ ជំងឺចាស់ X ១០០០ ចែកនឹង ប្រជាជនមធ្យម

d. ករណីជំងឺកើតថ្មី + និងជំងឺចាង់ក្នុងកំឡុងពេលមួយ នៅលើប្រជាជនជាក់លាក់មួយ

e. ចំនួនករណីជំងឺកើតថ្មី ដែលកើតមានក្នុងកំឡុងពេលមួយ នៅលើប្រជាជនជាក់លាក់មួយ

11 / 60

Period prevalent .Refers to:

a. New cases

b. A given time interval

c. Number of Child birth.

d. Old cases

e. A specific point in time

12 / 60

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

a. Causes- specific death rate (CSDR)

b. Infant mortality rate.

c. Post- neonatal mortality rate.

d. Case fatality rate (CFR)

e. Maternal mortality rate (MMR)

13 / 60

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

a. Causes- specific death rate (CSDR)

b. Maternal mortality rate (MMR)

c. Case fatality rate (CFR)

d. Infant mortality rate

e. Post- neonatal mortality rate.

14 / 60

A decrease in prevalence may be due to:

a. A short duration of disease

b. Decrease in virulence not leading to more rapid death.

c. Fail treatment of an illness

d. Not effective prevention program

e. A high incidence

15 / 60

The numerator of calculation infant mortality rate is:

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

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

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

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

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

16 / 60

ការប្រើប្រាស់តេស្ដរោគវិនិច្ឆ័យ (Diagnostic test) ដែលមានការខុសច្រើន ធ្វើអោយអត្រាតេស្ដវិជ្ជមាន កើនឡើងខ្ពស់ high false positive rate (poor specificity) បណ្ដាលអោយ ការប៉ាន់ប្រមាណនៃ:

a. ប្រេវ៉ាឡង់កើនឡើង

b. អាំងស៊ីដង់ និង ប្រេវ៉ាឡង់ ថយចុះ

c. អាំងស៊ីដង់កើនឡើង និងប្រេវ៉ាឡង់កើនឡើង

d. ផ្សេងពីនេះ

e. អាំងស៊ីដង់កើនឡើង

17 / 60

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

a. Alcoholism

b. Heart disease.

c. Depression

d. Appendicitis

e. Cancer

18 / 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. End of observations

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

19 / 60

An attack rate is:

a. Prevalent rate in the full year.

b. Mortality rate

c. Incidence rate, expressed as a percentage and applied to narrowed defined population observed for limited period of time , as an epidemic

d. Point prevalent rate

e. Incidence rate in the full year.

20 / 60

មានអ្នកជំងឺចំនួន៥នាក់មកសំរាកនៅក្នុងមន្ទីរពេទ្យដោយ ជំងឺគ្រុនពោះវៀន រយៈព្យាបាលគិតជាថ្ងៃមានរយៈពេលដូចតទៅ: ២, ៣, ២, ៥, ៣។ តម្លៃគំលាតស្ដង់ដា (Standard Deviation) គឺ:

a. ១,៣

b. ផ្សេងពីនេះ

c. ១,២២

d. ១,២

e. ១,៥

21 / 60

តើអត្រាអ្វី ដែលគេគណនា ចំនួននៃទារកស្លាប់ អាយុក្រោម ៧ ថ្ងៃ?

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

b. Taux de mortalité Maternelle, Maternal Mortality Rate

c. Taux de mortalité Périnatal / Périnatal Mortality Rate

d. Taux de mortalité infantile / Infant Mortality Rate

e. Taux de mortalité Néonatale/ / Néonatal Mortality Rate

22 / 60

អាំងស៊ីដង់ ត្រូវបានគណនាដូចតទៅ:

a. ចំនួនករណីជំងឺកើតថ្មី+ ជំងឺចាស់ X ១០០០ ចែកនឹង ប្រជាជនមធ្យម

b. ចំនួនករណីជំងឺកើតថ្មី ដែលកើតមានក្នុងកំឡុងពេលមួយ នៅលើប្រជាជនជាក់លាក់មួយ

c. ចំនួនករណីជំងឺកើតថ្មី + និងជំងឺចាង់ក្នុងកំឡុងពេលមួយ នៅលើប្រជាជនជាក់លាក់មួយ

d. ជាចំនួនករណីជំងឺ នៅចំណុចជាក់លាក់មួយ ក្នុងប្រជាជនកំណត់មួយ

e. ចំនួនករណីជំងឺកើតថ្មី X ១០០០ ចែកនឹង ប្រជាជនមធ្យម

23 / 60

Definition of mid range, mid range is:

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

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

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

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

e. Occurs most often in a set of data

24 / 60

នៅក្នុងខេត្តប៉ៃលិនមានទារកកើតរស់អាយុក្រោម ៧ ថ្ងៃ ៦០ នាក់ នៅឆ្នាំ ២០១៤។ ទារកស្លាប់អាយុក្រោម ៧ ថ្ងៃស្លាប់ ៦ នាក់ និង ក្រោម ២៨ថ្ងៃ ស្លាប់ ១០ នាក់។ Taux de mortalité Périnatal, Perinatal Mortality Rate មាន:

a. ផ្សេងពីនេះ

b. ២៦៦,៦៦/១០០០ កើតរស់

c. ១០០/១០០០០ កើតរស់

d. ១៦៦,៦៦/១០០០ កើតរស់

e. ១០០/១០០០ កើតរស់

25 / 60

អត្រាប្រេវ៉ាឡង់ ( Prevalent Rate/Taux de Prévalent) ត្រូវបានគណនាដូចតទៅ:

a. ចំនួនប្រ/ជដែលមានជំងឺកើតថ្មី+ជំងឺចាស់ ក្នុងកំឡុងពេលជាក់លាក់មួយ X 1000 ចែកនឹងប្រជាជនចុងឆ្នាំក្នុងកំឡុងពេលដូចគ្នា

b. ចំនួនប្រ/ជដែលមានជំងឺកើតថ្មី+ជំងឺចាស់ ក្នុងកំឡុងពេលជាក់លាក់មួយ X 1000 ចែកនឹងប្រជាជនដើមឆ្នាំក្នុងកំឡុងពេលដូចគ្នា

c. ចំនួនប្រ/ជដែលមានជំងឺកើតថ្មីក្នុងកំឡុងពេលជាក់លាក់មួយ X 1000 ចែកនឹងប្រជាជនមធ្យមក្នុងកំឡុងពេលដូចគ្នា

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

26 / 60

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

a. ក្រោម ៧ ថ្ងៃ

b. ក្រោម ៥ ឆ្នាំ

c. ក្រោម ១ ឆ្នាំ

d. ចាប់ពី៧ថ្ងៃ ដល់ ១ ឆ្នាំ

27 / 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. (40 X100) /200

b. (10 X 100) /80

c. (50 X100) / 200

d. (40 X100) /120

e. (10 X 100) /200

28 / 60

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

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

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

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)

29 / 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. Ratio scale

c. Ordinal scale

d. Nominal scale

e. Proportional scale

30 / 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. Ratio

b. Mode

c. Median

d. Mid range

e. Mean

31 / 60

គេប្រើប្រាស់ប្រេវ៉ាឡង់ (Prevalent) ដើម្បីបង្ហាញ:

a. ជម្ងឺស្រួចស្រាវ (Maladies aigues)

b. ជម្ងឺដែលសល់ពីឆ្នាំចាស់

c. ផ្សេងពីនេះ

d. ជម្ងឺរុំារៃ (Maladies chroniques)

e. មានការរាតត្បាតនៃជម្ងឺ (Epidemic)

32 / 60

Neonatal mortality rate is used to measure the:

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

b. Risk of dying within 28 days of birth.

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

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

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

33 / 60

អាំងស៊ីដង់កើនឡើងក្នុងករណី:

a. ករណីជំងឺកើតថ្មីកើនឡើង

b. ជំងឺកើតថ្មីភៀសខ្លួនចូល

c. រយៈពេលវែងនៃការរាប់ចំនួនអ្នកជំងឺ

d. ត្រឹមត្រូវទាំងអស់

34 / 60

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

a. ផ្សេងពីនេះ

b. ក្រោម ៧ ថ្ងៃ

c. ក្រោម ៥ ឆ្នាំ

d. ចាប់ពី៧ថ្ងៃ ដល់ ១ ឆ្នាំ

e. ក្រោម ១ ឆ្នាំ

35 / 60

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

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

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

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

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

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

36 / 60

A high prevalence may be due to:

a. An effective prevention program

b. Enhanced resistance to the disease

c. High incidence, a protracted duration or both.

d. A decrease in incidence

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

37 / 60

Prevalence is useful:

a. An estimate of disease incidence.

b. Provides information on the effectiveness of disease prevention

c. Information about the risk

d. Provides information on the effectiveness of control programs.

e. In estimating the need for facilities and personnel.

38 / 60

By definition a variable is:

a. Upper limit number

b. Sometime to change

c. Subject to change

d. Lower limit number

e. Constant

39 / 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

b. 60000P +12000 Live births

c. 60000P-200 deaths

d. (60000P+70000P)/2

e. 70000P

40 / 60

In descriptive statistics, we study:

a. How to calculate the sample size in a study

b. The methods for organizing, displaying and describing data

c. How to describe the probability distribution

d. The description of decision making process

41 / 60

A positive predictive value depend on:

a. The mortality of the disease in the population tested

b. The sensitivity of the disease in the population tested

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

d. The incidence of the disease in the population tested

42 / 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. Specificity

b. Sensitivity

c. Positive predictive value

d. Negative predictive value

43 / 60

On the statements below which are validstatements of probability:

a. Our probability of dying is 100%

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

c. We are 101% certain of success.

d. We are 150% certain of success.

44 / 60

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

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

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

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

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

45 / 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 67%.

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

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

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

46 / 60

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

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

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

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

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

47 / 60

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

a. Comparative biostatistics

b. Test statistics

c. Descriptive statistics

d. Inferential biostatistics

48 / 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 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 more than 99%

49 / 60

The standard error of the mean of a sample is:

a. Not used to determine confidence limit

b. Increased as the sample size increases

c. Not based on a normal distribution

d. An estimate of the standard deviation of the population

50 / 60

The standard error of the mean of a sample is:

a. Used to determine confidence level of significant test

b. Based on a non-normal distribution

c. An estimate of the standard deviation of the sample

d. Not increased as the sample size increases

51 / 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 20%.

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

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

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

52 / 60

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

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

b. We can be 99% 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

53 / 60

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

a. The precision of the estimate

b. The validity of the estimate

c. The sampling error of the estimate

d. The sampling distribution.

54 / 60

តើអ្វីខ្លះជាផ្នែករបស់ Descriptive statistics?

a. Measure of central tendency

b. Measure of dispersion

c. Range & median

d. Measure of Central of tendency & measures of dispersion

55 / 60

The meaning of reliability of a test is:

a. The results of a test deferent

b. The results of a test various

c. The results of a test positive

d. The results of a test identical if repeated

56 / 60

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

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

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

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

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

57 / 60

Reliability of a test means that:

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

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

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

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

58 / 60

All statements below are correct to describe the negative 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 patients who test negative who are actually free of the disease

c. The proportion of negative test results that are true negative

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

59 / 60

If an event has a probability of 0.8 it is:

a. Impossible to happen

b. Likely to happen.

c. Unlikely to happen

d. Certain to happen

60 / 60

What is the correct answer about a point estimatestatement:

a. .A point estimate involves the calculation of median for some statistic

b. .A point estimate involves the calculation of confidence intervals for some statistic

c. .A point estimate involves the calculation of means for some statistic

d. .A point estimate involves the calculation of mode for some statistic

Your score is

The average score is 86%

Any comments?