Santé Publique Test

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Santé Publique Test

1 / 60

The width of a confidence interval is influenced by:

a. The sample size determination

b. The population parameter.

c. The desired level of confidence

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

2 / 60

On the statements below which are validstatements of probability:

a. We are 101% certain of success.

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

c. Our probability of dying is 100%

d. We are 150% certain of success.

3 / 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 2%

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

4 / 60

If an event has a probability of 0.1 it is:

a. Impossible to happen

b. Very unlikely to happen.

c. Certain to happen

d. Very likely to happen.

5 / 60

In descriptive statistics, we study:

a. The description of decision making process

b. How to describe the probability distribution

c. How to calculate the sample size in a study

d. The methods for organizing, displaying and describing data

6 / 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 mode for some statistic

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

7 / 60

We measure the sample using statistics in order to:

a. To provide the validity of the study result

b. Draw conclusion about the sample size

c. To provide the reliability of the study result

d. Draw inferences about the parameters of the population

8 / 60

What is the statement of specificity of a diagnostic test:

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

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

9 / 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 sample

b. .A population

c. An observation

d. .A parameter

10 / 60

μ is an example of a

a. Sample statistic

b. Mode

c. Population variance

d. Population parameter

11 / 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 increases

c. The sample size n decreases

d. The desired level of confidence increases

12 / 60

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

a. Descriptive statistics

b. Test statistics

c. Comparative biostatistics

d. Inferential biostatistics

13 / 60

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

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

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

14 / 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 negative who are actually free of the disease

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

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

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

15 / 60

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

a. The precision of the estimate

b. The sampling error of the estimate

c. The validity of the estimate

d. The sampling distribution.

16 / 60

What is the correct answer about a point estimatestatement:

a. .A point estimate is always less than a population value

b. .A point estimate is a range of the sample value

c. .A point estimate is a single number

d. .A point estimate is a multiple numbers

17 / 60

If the variance of a data set is correctly computed with the formula using n – 1 in the denominator, which of the following is true?

a. The data set is from a census

b. The data set is a population

c. The data set could be either a sample or a population

d. The data set is a sample

18 / 60

A positive predictive value of a test increases as:

a. The prevalence of disease in the population is constant

b. The prevalence of disease in the population increases

c. The incidence of disease in the population increases

d. The prevalence of disease in the population decreases

19 / 60

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

a. In repeated sampling, 95% of the interval will capture the population values.

b. In repeated sampling, 95% of the interval will capture the sample values.

c. In repeated sampling, 95% of the interval will not capture the population values.

d. In repeated sampling, 95% of the interval will not capture the sample values.

20 / 60

What is the correct answer about a confidence interval statement:

a. The narrower the confidence interval, the invalid the point estimate

b. The narrower the confidence interval, the decreased sample size

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

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

21 / 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 1%

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

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

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

22 / 60

What is the correct statement of positive predictive value (PPV) 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 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 do not have the disease.

23 / 60

A negative predictive value of a test decreases as:

a. The prevalence of disease in the population decreases

b. The incidence of disease in the population increases

c. The prevalence of disease in the population is constant

d. The prevalence of disease in the population increases

24 / 60

Confidence intervals are calculated for proportions, rates, risk ratios, odds ratios, and other epidemiologic measures:

a. When the purpose to calculate test statistics

b. When the purpose is to draw inferences from a sample survey or study to the larger population.

c. When the purpose is to calculate sample size

d. When the purpose is to test hypothesis

25 / 60

The negative predictive value of a test decreases:

a. The incidence of disease increase

b. Prevalence of the disease in the population increases

c. The number of population stable

d. The prevalence of disease decreases

26 / 60

A parameter is a measure which is computed from

a. Test statistics

b. Raw data

c. Sample data

d. Population data

27 / 60

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

a. Discrete data

b. Qualitative data

c. Categorical data

d. Continuous data

28 / 60

A positive predictive value depend on:

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

b. The incidence of the disease in the population tested

c. The mortality of the disease in the population tested

d. The prevalence of the disease in the population tested

29 / 60

អាំងស៊ីដង់កើនឡើងក្នុងករណី:

a. ជំងឺកើតថ្មីភៀសខ្លួនចូល

b. រយៈពេលវែងនៃការរាប់ចំនួនអ្នកជំងឺ

c. ត្រឹមត្រូវទាំងអស់

d. ករណីជំងឺកើតថ្មីកើនឡើង

30 / 60

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

a. ៦១២០០ នាក់

b. ៦១៨០០ នាក់

c. ៦០៩០០ នាក់

d. ៦២៤០០ នាក់

e. ៦០០០០ នាក់

31 / 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. Causes- specific death rate (CSDR)

c. Infant mortality rate

d. Maternal mortality rate (MMR)

e. Post- neonatal mortality rate.

32 / 60

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

a. New cases.

b. Number of live birth

c. Old cases

d. Death cases

e. New + Old cases

33 / 60

Qualitative variables are measured at the:

a. Ratio level

b. Nominal level

c. Rate level

d. Numerical level

e. Proportional level

34 / 60

សមាមាត្រស្លាប់នៃអ្នកជំងឺ (Case fatality Rate CFR) ស្មើនឹង:

a. ចំនួនអ្នកស្លាប់ដោយជំងឺមួយ ក្នុងកំឡុងពេលជាក់លាក់មួយ X100 ចែកចំនួនករណីអ្នកជំងឺធ្ងន់ធ្ងរក្នុងកំឡុងពេលដូចគ្នា

b. ចំនួនអ្នកស្លាប់ដោយជំងឺមួយ ក្នុងកំឡុងពេលជាក់លាក់មួយ X100 ចែកចំនួនប្រជាជនមធ្យម

c. ផ្សេងពីនេះ

d. ចំនួនអ្នកស្លាប់ដោយជំងឺមួយ ក្នុងកំឡុងពេលជាក់លាក់មួយ X100 ចែកចំនួនករណី អ្នកស្លាប់សរុប

e. ចំនួនអ្នកស្លាប់ដោយជំងឺមួយ ក្នុងកំឡុងពេលជាក់លាក់មួយ X100 ចែកចំនួនករណីអ្នកជំងឺសរុបក្នុងកំឡុងពេលដូចគ្នា

35 / 60

To measure risk of death among person in a specific age and sex group. by calculation of:

a. Perinatal mortality rate

b. Crude death rate (CDR)

c. Age- and sex specific death rate.

d. Stillbirth rate (Late fetal death rate)

e. Neonatal mortality rate

36 / 60

Neonatal mortality rate is used to measure the:

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

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

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

d. Risk of dying within 28 days of birth.

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

37 / 60

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

a. ក្នុងចំណោមទារក ១០០០០ កើតរស់មានទារកស្លាប់ ៦០ នាក់ អាយុក្រោម ៧ ថ្ងៃ

b. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៦០ នាក់ អាយុក្រោម ២៨ ថ្ងៃ

c. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៤០ នាក់ អាយុក្រោម ១ ឆ្នាំ

d. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៦០ នាក់ទាក់ទងការមានផ្ទៃពោះ និង ឆ្លងទន្លេ

e. ផ្សេងពីនេះ

38 / 60

This formula for calculated:

a. Post- neonatal mortality rate

b. Maternal mortality rate (MMR)

c. Neonatal mortality rate

d. Infant mortality rate

e. Perinatal mortality rate

39 / 60

តើអត្រាអ្វី ដែលគេគណនា ចំនួននៃទារកស្លាប់ អាយុក្រោម ៧ ថ្ងៃ?

a. Taux de mortalité Périnatal / Périnatal Mortality Rate

b. Taux de mortalité Maternelle, Maternal Mortality Rate

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

d. Taux de mortalité Néonatale/ / Néonatal Mortality Rate

e. Taux de mortalité infantile / Infant Mortality Rate

40 / 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. Ordinal scale

b. Nominal scale

c. Proportional scale

d. Ratio scale

e. Interval scale

41 / 60

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

a. Maternal mortality rate (MMR)

b. Post- neonatal mortality rate.

c. Causes- specific death rate (CSDR)

d. Infant mortality rate.

e. Case fatality rate (CFR)

42 / 60

The scale 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 is:

a. Nominal scale

b. Quantitative scale

c. Ordinal scale

d. Ratio scale

e. Intervalle scale

43 / 60

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

a. អាំងស៊ីដង់កើនឡើង

b. ផ្សេងពីនេះ

c. អាំងស៊ីដង់កើនឡើង និងប្រេវ៉ាឡង់កើនឡើង

d. ប្រេវ៉ាឡង់កើនឡើង

e. អាំងស៊ីដង់ និង ប្រេវ៉ាឡង់ ថយចុះ

44 / 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. Susceptible to the disease.

b. Not susceptible to the disease

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

d. Who haven’t been immunized

e. Endometrial carcinoma that have not undergone hysterectomy

45 / 60

A high prevalence may be due to:

a. Enhanced resistance to the disease

b. High incidence, a protracted duration or both.

c. An effective prevention program

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

e. A decrease in incidence

46 / 60

The mean population in Rattanakiri province is 30000 populations (P) in year 2005. All cases of mortality are 200 cases. # Live births = 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. Neonatal mortality rate is:

a. 90 cases/1500 live births X1000

b. 45 cases/ 200 Live births X1000

c. 50 deaths/1500 live births X1000

d. 200 cases/30000 populations X1000

e. 1500 live births X1000/ 3000062

47 / 60

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

a. Overestimate prevalence

b. Underestimate incidence and prevalence.

c. Underestimate only prevalence

d. Overestimate incidence and prevalence

e. Overestimate incidence

48 / 60

ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៤០ នាក់អាយុក្រោម ១ ឆ្នាំ សុច្ចនាករនេះបញ្ជាក់ការគណនា:

a. Taux de mortalité Brut

b. Taux de mortalité Maternelle, Maternal Mortality Rate

c. Taux de mortalité Néonatale , Neonatal Mortality Rate

d. Taux de mortalité infantile, Infant Mortality Rate

e. Taux de mortalité Périnatal , Perinatal Mortality Rate

49 / 60

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

a. ១,២

b. ផ្សេងពីនេះ

c. ១,៣

d. ១,៥

e. ១,២២

50 / 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. (40 X100) /120

c. (10 X 100) /200

d. (50 X100) / 200

e. (10 X 100) /80

51 / 60

The numerator of calculation infant mortality rate is:

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

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

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

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

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

52 / 60

There is the distance in kilometer from the house of patients to Health center: 4, 7, 3, 5, 3 and 8. If we confuse 8 to 80, what is the happened show that?

a. Increasing median and mean

b. Increasing the mode.

c. Increasing the median

d. Increasing median mode and mean

e. Increasing mean.

53 / 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

b. Counting recurrences

c. Identifying cases by clinical evaluation

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

e. Identifying cases from personal interviews

54 / 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. Number of live birth

b. New + Old cases

c. New cases.

d. Death cases

e. Old cases

55 / 60

តើអ្វីខ្លះជាផ្នែករបស់ Inferential statistics?

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

b. . Measure of dispersion

c. . Mean & Confidence interval

d. . Hypothesis testing & Estimation

56 / 60

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

a. . Estimation methods

b. . one-sided hypothesis testing

c. . two-sided hypothesis testing

d. . two-sided hypothesis testing សំរាប់សំណាក២ក្រុម

57 / 60

តើអ្វីខ្លះជាផ្នែករបស់Descriptive statistics?

a. . Range & median

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

c. . Measure of dispersion

d. . Measure of central tendency

58 / 60

តើអ្វីខ្លះជាផ្នែករបស់Descriptive statistics?

a. . Median

b. . Mode, Median & Mean

c. . Mode

d. . Mean

59 / 60

តើអ្វីខ្លះដែលមិនមែនជាផ្នែករបស់Descriptive statistics?

a. . Probability

b. . Estimation & Hypothesis testing

c. . Measure of dispersion

d. . Measure of Central of tendency

60 / 60

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

a. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ > 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 ≥ ២ ម៉ោង; Ha: និស្សិតថ្នាក់ទី ២A បានចំណាយពេលសិក្សានៅផ្ទះ < ២ ម៉ោង

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និស្សិតអាចប្រាប់មកកាន់ពួកយើងបានដើម្បីកែកំហុស ឬអំពីបញ្ហាដោយអចេតនាណាមួយដែលកើតមានកំឡុងពេលធ្វើតេស្ត