Santé Publique Test

22 votes, 4.8 avg

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Santé Publique Test

1 / 60

នៅក្នុង hypothesis testing មានកំហុស(error) ពីរដែលអាចកើតឡើង។ តើឃ្លាខាងក្រោមនេះ ឃ្លាមួយណាដែលត្រឹមត្រូវទៅនឹងនិយមម័យរបស់ error.

a. . Type II error កើតឡើងនៅពេលដែលយើងមិនទាត់ចោល H0 នៅពេលដែលវាពិត

b. . Type II error កើតឡើងនៅពេលដែលយើងទាត់ចោល H0 នៅពេលដែលវាមិនពិត

c. . Type II error កើតឡើងនៅពេលដែលយើងទាត់ចោល H0 នៅពេលដែលវាពិត

d. . Type II error កើតឡើងនៅពេលដែលយើងមិនទាត់ចោល H0 នៅពេលដែលវាមិនពិត

2 / 60

ការសិក្សាទៅលើសំណាកនៃនិស្សិតឆ្នាំទី២A ចំនួន១៥នាក់ រកឃើញថានិស្សិតបានចំណាយពេលសិក្សានៅផ្ទះរយៈពេលមធ្យម ១២០នាទី ក្នុង១ ថ្ងៃ ហើយមាន standard deviation ៦០នាទី។

a. . គេត្រូវប្រើប្រាស់ Inferential statistics បន្ថែមទៀតដើម្បីអាចធ្វើការសន្និដ្ឋានទៅលើក្រុមនិស្សិតឆ្នាំទី ២A ទាំងអស់បាន

b. . គេអាចនិយាយថា និស្សិតឆ្នាំទី២A ចំនួន៩៥%បានចំណាយពេលសិក្សាស្មើនឹង ១២០នាទី

c. . គេមិនទាន់អាចសន្និដ្ឋានបាននៅឡើយ ដោយសារលទ្ឋផលដែលទទួលបាននេះមិនអាចតំណាងអោយនិស្សិតឆ្នាំទី ២A ទាំងអស់បានទេ

d. . គេអាចនិយាយថា និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះច្រើនជាង ១០០នាទី

3 / 60

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

a. . Type I error កើតឡើងនៅពេលដែលយើងទាត់ចោល H0 នៅពេលដែលវាមិនពិត

b. . Type I error កើតឡើងនៅពេលដែលយើងទាត់ចោល H0 នៅពេលដែលវាពិត

c. . Type I error កើតឡើងនៅពេលដែលយើងមិនទាត់ចោល H0 នៅពេលដែលវាមិនពិត

d. . Type I error កើតឡើងនៅពេលដែលយើងមិនទាត់ចោល H0 នៅពេលដែលវាពិត

4 / 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

5 / 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

6 / 60

Which below statement is not correct:

a. Parameters are not fixed values.

b. It is often difficult to obtain measures from the entire population

c. Parameters are fixed values

d. We rarely know parameters

7 / 60

Which below statement is not correct:

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

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

c. Statistics are known values computed from a sample

d. Point estimates are not calculated from sample.

8 / 60

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

a. The validity of the estimate

b. The sampling error of the estimate

c. The sampling distribution.

d. The precision of the estimate

9 / 60

If a specificity of a screening test was 89%, it means that:

a. The probability of the screening test incorrectly identifying non-diseased subjects was 89%.

b. The probability of the screening test incorrectly identifying non-diseased subjects was 21%.

c. The probability of the screening test correctly identifying non-diseased subjects was 89%.

d. The probability of the screening test correctly identifying non-diseased subjects was 21%.

10 / 60

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

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

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

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

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

11 / 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 do not have the disease from all individuals free from 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.

12 / 60

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

a. It is likely to happen

b. It is certain to happen

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

d. It is impossible to happen

13 / 60

On the statements below what is valid statements of probability:

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

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

c. Our probability of dying is 100%

d. We are 150% certain of success

14 / 60

A parameter is a measure which is computed from

a. Sample data

b. Raw data

c. Test statistics

d. Population data

15 / 60

Positive Predictive Value primarily depends on (chose the incorrect answer):

a. Prevalence of the disease in the population tested,

b. Sensitivity and specificity

c. Incidence of the disease

d. In general, it depends more on the specificity

16 / 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%.

17 / 60

What is the correct answer about a point estimatestatement:

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

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

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

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

18 / 60

Which of the following statements is true about the standard error of a proportion?

a. It is approximately equal to the standard deviation when the sample size is large

b. It always lies close to 0

c. It is always greater than the standard deviation

d. It is a measure of the sampling variation of the observed proportion p about the true 3 (population) proportion (

19 / 60

Which of these is most likely to happen?

a. Event C, which has a probability of 0.5

b. Event D, which has a probability of 0.1

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

d. Event B, which has a probability of 0.75

20 / 60

μ is an example of a

a. Sample statistic

b. Mode

c. Population parameter

d. Population variance

21 / 60

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

a. Population mean

b. Sample statistic

c. Population parameter

d. Sample parameter

22 / 60

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

a. .A range of values constructed from sample data

b. .A mean of values constructed from sample data

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

d. .A median of values constructed from sample data

23 / 60

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

a. 1/2

b. 1/4

c. 1/5

d. 1/3

24 / 60

What is the wrong interpretation of 95% confidence interval:

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

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

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

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

25 / 60

What is the correct answer about a point estimate statement:

a. .A point estimate is the statistic, computed from sample information,

b. .A point estimate is used to estimate the sample size

c. .A point estimate is the statistic, computed from population information

d. .A point estimate is a true value of the study population parameter.

26 / 60

We measure the sample using statistics in order to:

a. To provide the validity of the study result

b. Draw inferences about the parameters of the population

c. Draw conclusion about the sample size

d. To provide the reliability of the study result

27 / 60

What is the correct statement of positive predictive value (PPV) 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 ability of a test to indicate which individuals have the disease and which do not.

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

28 / 60

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

a. Qualitative data

b. Continuous data

c. Discrete data

d. Categorical data

29 / 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

30 / 60

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

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

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.

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

31 / 60

On the statements below which are valid statements of probability:

a. .A women’s probability suffering from breast cancer in her life-time is 12 in 1

b. .A women’s probability suffering from breast cancer in her life-time is 12 in 3

c. .A women’s probability suffering from breast cancer in her life-time is 12 in 2

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

32 / 60

The width of a confidence interval is influenced by:

a. The population parameter.

b. The sample size determination

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

d. The desired level of confidence

33 / 60

Which below statement is not correct:

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

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

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

d. Confidence interval describes the precision of the estimate

34 / 60

Population census is conducted through

a. Sample survey

b. Accounting

c. Complete enumeration

d. Investigation

35 / 60

A high prevalence may be due to:

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

b. High incidence, a protracted duration or both.

c. An effective prevention program

d. A decrease in incidence

e. Enhanced resistance to the disease

36 / 60

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

a. ១,៥

b. ១,២២

c. ១,៣

d. ១,២

e. ផ្សេងពីនេះ

37 / 60

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

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

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

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

d. Risk of dying within 28 days of birth.

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

38 / 60

Bias: The true biologic variation in clinical measurement is:

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

b. Each of which contributes a small random effect.

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

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

e. The sum many unknown factors ,

39 / 60

Point prevalent of the disease refers to:

a. New cases

b. A specific point in time

c. Old cases

d. A given time interval

e. Number of Child birth.

40 / 60

ចំណុចប្រវ៉ាឡង់ (Point prévalence)

a. ចំនួននៃប្រជាជននោះដែលមានជំងឺ នៅរយៈពេលមួយ

b. ចំនួននៃប្រជាជននោះដែលមានជំងឺ នៅរយៈពេលពេញ១ឆ្នាំ

c. ចំនួននៃប្រជាជននោះដែលមានជំងឺ នៅចំណុចពេលមួយ

d. ចំនួននៃប្រជាជននោះដែលមានជំងឺថ្មី+ចាស់ រយៈពេល១ឆ្នាំ

e. ផ្សេងពីនេះ

41 / 60

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

a. Neonatal mortality rate

b. Age- and sex specific death rate.

c. Stillbirth rate (Late fetal death rate).

d. Crude death rate (CDR)

e. Perinatal mortality rate

42 / 60

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

a. Age- and sex specific death rate

b. Crude death rate (CDR)

c. Stillbirth rate (Late fetal death rate)

d. Perinatal mortality rate

e. Neonatal mortality rate

43 / 60

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

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

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

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

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

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

44 / 60

Neonatal mortality rate is used to measure the:

a. Risk of dying within 28 days of birth.

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

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

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

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

45 / 60

នៅកម្ពុជា Taux de mortalité néonatale, Neonatal Mortality Rateមាន ៣០ ភាគ ១០០០កើតរស់ក្នុងឆ្នាំ ២០០០។ មានន័យថាក្នុងកំឡុងឆ្នាំ ២០០០

a. ផ្សេងពីនេះ

b. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៣០ នាក់

c. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៣០ នាក់ អាយុក្រោម ២៨ ថ្ងៃ

d. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៣០ នាក់អាយុក្រោម ១ ឆ្នាំ

e. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៣០ នាក់ទាក់ទងការមានផ្ទៃពោះ និង ឆ្លងទន្លេ

46 / 60

Prevalence is useful:

a. In estimating the need for facilities and personnel.

b. Provides information on the effectiveness of control programs.

c. Provides information on the effectiveness of disease prevention

d. An estimate of disease incidence.

e. Information about the risk

47 / 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. Mean

b. Mode

c. Median

d. Mid range

e. Ratio

48 / 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. Case fatality rate (CFR)

e. Post- neonatal mortality rate.

49 / 60

The numerator of calculation age- and sex specific death rate is:

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

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

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

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

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

50 / 60

The prevalence of a disease depends on:

a. Incidence rate and its duration

b. Mortality rate

c. Effectiveness of treatment

d. Prevention of the diseases

e. Natality rate

51 / 60

This formula refers to:

a. Maternal mortality rate

b. Prevalent rate

c. Infant mortality rate

d. Crude death rate

e. Incidence rate

52 / 60

Bias due to sampling error is:

a. A faulty measuring by lecturer.

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

c. Incomplete information obtained from a sample

d. A faulty measuring instrument.

e. A faulty measuring methods

53 / 60

តើអត្រាអ្វី ដែលគេគណនា ចំនួននៃការស្លាប់ក្នុង ១ ឆ្នាំ សំរាប់ប្រជាជន ១០០០ នាក់?

a. ផ្សេងពីនេះ

b. សមាមាត្រស្លាប់នៃជំងឺ

c. អត្រាមរណៈភាពនៃមាតា

d. អត្រាមរណៈភាព

e. អត្រាមរណៈភាពនៃកុមារ

54 / 60

Ratio expresses the relationship between:

a. 3 items

b. 5 items

c. 1 items

d. 2 items

e. 4 items

55 / 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. Mean

b. Mid range

c. Mode

d. Ratio

e. Median

56 / 60

Properties and uses of the mean. The mean 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. the easiest measure of central location to understand and explain

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

57 / 60

A high prevalence may indicate a:

a. Acute condition

b. No risk

c. High risk

d. Chronic condition rather than a high risk.

e. Chronic condition

58 / 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 mode and mean

b. Increasing median and mean

c. Increasing mean.

d. Increasing the median

e. Increasing the mode.

59 / 60

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

a. Alcoholism

b. Depression

c. Appendicitis

d. Heart disease.

e. Cancer

60 / 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. 200 cases/30000 populations X1000

c. 1500 live births X1000/ 3000062

d. 45 cases/ 200 Live births X1000

e. 50 deaths/1500 live births X1000

Your score is

The average score is 87%

Any comments?

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

និស្សិតអាចប្រាប់មកកាន់ពួកយើងបានដើម្បីកែកំហុស ឬអំពីបញ្ហាដោយអចេតនាណាមួយដែលកើតមានកំឡុងពេលធ្វើតេស្ត