SantΓ© Publique Test

0%
22 votes, 4.8 avg
0

You will have 60 minutes to complete all the questions. After the timer reaches 60 minutes, the exam will end and be saved automatically. Good luck! *Fingers crossed*

The timer has been reached. The exam has now been terminated and saved.


SantΓ© Publique Test

 

1 / 60

αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈαŸ’A αž…αŸ†αž“αž½αž“αŸ‘αŸ₯αž“αžΆαž€αŸ‹ αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž“αŸ…αž•αŸ’αž‘αŸ‡αžšαž™αŸˆαž–αŸαž›αž˜αž’αŸ’αž™αž˜ αŸ‘αŸ’αŸ αž“αžΆαž‘αžΈβ€‹ αž€αŸ’αž“αž»αž„αŸ‘β€‹ αžαŸ’αž„αŸƒ αž αžΎαž™αž˜αžΆαž“ standard deviation αŸ¦αŸ αž“αžΆαž‘αžΈ αž αžΎαž™αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្Cαž…αŸ†αž“αž½αž“ αŸ‘αŸ‘αž“αžΆαž€αŸ‹αž”αžΆαž“αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžšαž™αŸˆαž–αŸαž› αŸ‘αŸ αŸ αž“αžΆαž‘αžΈαž€αŸ’αž“αž»αž„αŸ‘αžαŸ’αž„αŸƒαž αžΎαž™αž˜αžΆαž“ standard
deviation 20 αž“αžΆαž‘αžΈαŸ”αž‚αŸαž…αž„αŸ‹αž”αŸ’αžšαŸ€αž”αž’αŸ€αž”αžαžΆαžαžΎαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្A αž“αž·αž„ 2 B αž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžŸαŸ’αž˜αžΎαžšαž‚αŸ’αž“αžΆαžŠαŸ‚αžšαž¬αž‘αŸ αžαžΎαž‚αŸαžαŸ’αžšαžΌαžœαž’αŸ’αžœαžΎ hypothesis testing αž”αŸ’αžšαž—αŸαž‘αžŽαžΆ?

2 / 60

αžαžΎαž’αŸ’αžœαžΈαžαŸ’αž›αŸ‡αž‡αžΆαž•αŸ’αž“αŸ‚αž€αžšαž”αžŸαŸ‹ Inferential statistics?

3 / 60

αžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្Aαž…αŸ†αž“αž½αž“ ៑៑ αž“αžΆαž€αŸ‹αž”αžΆαž“αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžšαž™αŸˆαž–αŸαž›β€‹ αŸ‘αŸ αŸ αž“αžΆαž‘αžΈαž€αŸ’αž“αž»αž„αŸ‘αžαŸ’αž„αŸƒαž αžΎαž™αž˜αžΆαž“ standard deviation 20 αž“αžΆαž‘αžΈαŸ” αž‚αŸαž…αž„αŸ‹αž’αŸ’αžœαžΎ hypothesis testing αžŠαžΎαž˜αŸ’αž”αžΈαž†αŸ’αž›αžΎαž™αž‘αŸ…αž“αžΉαž„αžŸαŸ†αžŽαž½αžšαžαžΆαžαžΎ αž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្C αž”αžΆαž“αžšαŸ€αž“αžšαž™αŸ‡αž–αŸαž› 2αž˜αŸ‰αŸ„αž„αžŠαŸ‚αžšαž¬αž‘αŸαŸ” αžαžΎαž‚αŸαž’αŸ’αžœαžΎαžαŸαžŸαŸ’αžαž˜αž½αž™αžŽαžΆαžαžΆαž„αž€αŸ’αžšαŸ„αž˜?

4 / 60

αžαžΎαž’αŸ’αžœαžΈαžαŸ’αž›αŸ‡αžŠαŸ‚αž›αž‡αžΆαž•αŸ’αž“αŸ‚αž€αžšαž”αžŸαŸ‹ Inferential statistics?

5 / 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:

6 / 60

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

7 / 60

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

8 / 60

αž’αžΆαŸ†αž„αžŸαŸŠαžΈαžŠαž„αŸ‹ αžαŸ’αžšαžΌαžœαž”αžΆαž“αž‚αžŽαž“αžΆαžŠαžΌαž…αžαž‘αŸ…:

9 / 60

αž’αŸŠαžΈαžŸαŸ’αžŠαžΌαž€αŸ’αžšαžΆαž˜ (Histogram) αž‚αžΊαž‡αžΆαž€αŸ’αžšαžΆαž αŸ’αžœαž·αž€αž˜αž½αž™:

10 / 60

αž“αŸ…αž€αž˜αŸ’αž–αž»αž‡αžΆ αž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αžšαž”αžŸαŸ‹αž˜αžΆαžαžΆαž˜αžΆαž“ ៦០ αž—αžΆαž‚ ៑០០០ αž€αžΎαžαžšαžŸαŸ‹αŸ” αž˜αžΆαž“αž“αŸαž™αžαžΆ:

11 / 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:

12 / 60

By definition a variable is:

13 / 60

αž“αŸ…αž€αž˜αŸ’αž–αž»αž‡αžΆ Taux de mortalitΓ© nΓ©onatale, Neonatal Mortality Rateαž˜αžΆαž“ ៣០ αž—αžΆαž‚ β€‹αŸ‘αŸ αŸ αŸ αž€αžΎαžαžšαžŸαŸ‹αž€αŸ’αž“αž»αž„αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ αŸ αŸ” αž˜αžΆαž“αž“αŸαž™αžαžΆαž€αŸ’αž“αž»αž„αž€αŸ†αž‘αž»αž„αž†αŸ’αž“αžΆαŸ† ្០០០

14 / 60

αž’αžΆαŸ†αž„αžŸαŸŠαžΈαžŠαž„αŸ‹αžαž™αž…αž»αŸ‡αž€αžšαžŽαžΈ:

15 / 60

Infant mortality rate is used to measure the:

16 / 60

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

17 / 60

This formula for calculated:

18 / 60

αž…αŸ†αžŽαž»αž…αž”αŸ’αžšαžœαŸ‰αžΆαž‘αž„αŸ‹ (Point prΓ©valence)

19 / 60

The numerator of calculation Crude death rate (CDR) is:

20 / 60

αž˜αžΆαž“αž’αŸ’αž“αž€αž‡αŸ†αž„αžΊαž…αŸ†αž“αž½αž“αŸ₯αž“αžΆαž€αŸ‹αž˜αž€αžŸαŸ†αžšαžΆαž€αž“αŸ…αž€αŸ’αž“αž»αž„αž˜αž“αŸ’αž‘αžΈαžšαž–αŸαž‘αŸ’αž™αžŠαŸ„αž™ αž‡αŸ†αž„αžΊαž‚αŸ’αžšαž»αž“αž–αŸ„αŸ‡αžœαŸ€αž“ αžšαž™αŸˆαž–αŸ’αž™αžΆαž”αžΆαž›αž‚αž·αžαž‡αžΆαžαŸ’αž„αŸƒαž˜αžΆαž“αžšαž™αŸˆαž–αŸαž›αžŠαžΌαž…αžαž‘αŸ…: ្, ៣, ្, αŸ₯, αŸ£αŸ” αžαž˜αŸ’αž›αŸƒαž‚αŸ†αž›αžΆαžαžŸαŸ’αžŠαž„αŸ‹αžŠαžΆ (Standard Deviation) αž‚αžΊ:

21 / 60

Bias: The true biologic variation in clinical measurement is:

22 / 60

A high prevalence may be due to:

23 / 60

Prevalence is useful in:

24 / 60

Post- Neonatal mortality rate is used to measure the:

25 / 60

αžŸαž˜αžΆαž˜αžΆαžαŸ’αžšαžŸαŸ’αž›αžΆαž”αŸ‹αž“αŸƒαž’αŸ’αž“αž€αž‡αŸ†αž„αžΊ (Case fatality Rate CFR) αžŸαŸ’αž˜αžΎαž“αžΉαž„:

26 / 60

αž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αž“αŸƒαž‘αžΆαžšαž€ (Post Perinatal mortality Rate, Taux de mortalitΓ© Post PΓ©rinatale) αž‚αžΊαž‡αžΆαž€αžΆαžšαž‚αžŽαž“αžΆαž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž– αžŸαŸ†αžŠαŸ…αž‘αŸ…αž›αžΎαž‘αžΆαžšαž€αžŠαŸ‚αž›αž˜αžΆαž“αž’αžΆαž™αž»:

27 / 60

The numerator of calculation post- neonatal mortality rate is:

28 / 60

αž”αžΎαž”αŸ’αžšαžŸαž·αž“αž‡αžΆαž€αžΆαžšαž’αŸ’αžœαžΎαžšαŸ„αž‚αžœαž·αž“αž·αž…αŸ’αž†αŸαž™αž‡αž˜αŸ’αž„αžΊ αžŠαŸ„αž™αž‡αŸ’αžšαžΎαžŸαžαŸ‚ Classic cases αžŠαŸ„αž™αž€αŸ†αžŽαžαŸ‹αž™αž€αžαŸ‚ Strict diagnostic criteria αžαžΎαž”αžŽαŸ’αžŠαžΆαž›αž’αŸ„αž™αž˜αžΆαž“αž€αžΆαžšαž”αŸ’αžšαŸ‚αž”αŸ’αžšαž½αž›αž’αŸ’αžœαžΈαžαŸ’αž›αŸ‡?

29 / 60

αž€αŸ’αž“αž»αž„αž…αŸ†αžŽαŸ„αž˜αž‘αžΆαžšαž€ ៑០០០ αž€αžΎαžαžšαžŸαŸ‹αž˜αžΆαž“αž‘αžΆαžšαž€αžŸαŸ’αž›αžΆαž”αŸ‹ ៀ០ αž“αžΆαž€αŸ‹αž’αžΆαž™αž»αž€αŸ’αžšαŸ„αž˜ ៑ αž†αŸ’αž“αžΆαŸ† αžŸαž»αž…αŸ’αž…αž“αžΆαž€αžšαž“αŸαŸ‡αž”αž‰αŸ’αž‡αžΆαž€αŸ‹αž€αžΆαžšαž‚αžŽαž“αžΆ:

30 / 60

αž“αŸ…αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“αž˜αžΆαž“αž”αŸ’αžšαž‡αžΆαž‡αž“ ៦០០០០ αž“αžΆαž€αŸ‹ αž“αŸ…αžŠαžΎαž˜αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αŸ” αž‘αžΆαžšαž€αž€αžΎαžαžšαžŸαŸ‹αž€αŸ’αž“αž»αž„αž†αŸ’αž“αžΆαŸ†αž“αŸ„αŸ‡αž˜αžΆαž“ ៀ%αŸ” αž˜αžΆαž“αžŸαŸ’αžŠαŸ’αžšαžΈ αŸ₯០ αž“αžΆαž€αŸ‹αžŸαŸ’αž›αžΆαž”αŸ‹αž‘αžΆαž€αŸ‹αž‘αž„αž“αžΉαž„αž˜αžΆαž“αž•αŸ’αž‘αŸƒαž–αŸ„αŸ‡ αž“αž·αž„αž‡αž»αŸ†αžœαž·αž‰αž€αžΆαžšαž†αŸ’αž›αž„αž‘αž“αŸ’αž›αŸαžŸαŸ’αž˜αžΎαž“αžΉαž„αž’αžαŸ’αžšαžΆ:

31 / 60

αžƒαŸ’αž›αžΆαžαžΆαž„αž€αŸ’αžšαŸ„αž˜αž“αŸαŸ‡αžŸαž»αž‘αŸ’αž’αžαŸ‚αžαŸ’αžšαžΉαž˜αžαŸ’αžšαžΌαžœαž›αžΎαž€αž›αŸ‚αž„αžαŸ‚αžƒαŸ’αž›αžΆαž˜αž½αž™αžŠαŸ‚αž›αžαž»αžŸ αž€αžΆαžšαž‚αžŽαž“αžΆαž…αŸ†αž“αž½αž“αž€αžšαžŽαžΈαž“αŸƒαž‡αž˜αŸ’αž„αžΊαž’αžΆαŸ†αž„αžŸαŸŠαžΈαžŠαž„αŸ‹αž“αž·αž„αž”αŸ’αžšαŸαžœαŸ‰αžΆαž‘αž„αŸ‹αž•αŸ’αžŠαž›αŸ‹ αž’αŸ„αž™αž…αŸ†αž“αž½αž“αž’αŸ’αž“αž€αž‡/αž„αžŠαŸ‚αž›αž‚αž½αžšαž’αŸ„αž™αž‘αž»αž€αž…αž·αžαŸ’αžαž”αžΆαž“ (The calculation of both prevalence and incidence requires a reliable estimate of the numberof individuals with the disease). αž˜αž’αŸ’αž™αŸ„αž”αžΆαž™αž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αžŸαŸ†αžšαžΆαž”αŸ‹αž€αŸ†αžŽαžαŸ‹αž…αŸ†αž“αž½αž“αž€αžšαžŽαžΈαž’αŸ’αž“αž€αž‡/αž„αžšαž½αž˜αž˜αžΆαž“:

 

32 / 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:

33 / 60

αž“αŸ…αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“αž˜αžΆαž“αž”αŸ’αžšαž‡αžΆαž‡αž“ αž˜αž’αŸ’αž™αž˜ ៦០០០០ αž“αžΆαž€αŸ‹ αž˜αžΆαž“αž‡αŸ†αž„αžΊαžšαž”αŸαž„αžŸαž€αž˜αŸ’αž˜αž—αžΆαž–αž€αžΎαžαžαŸ’αž˜αžΈαžαŸ’αžšαžΌαžœαž”αžΆαž“αžšαž€αžƒαžΎαž‰αž“αŸ…αž€αŸ†αž‘αž»αž„αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αž˜αžΆαž“αž…αŸ†αž“αž½αž“ ៦០ αž“αžΆαž€αŸ‹, αž‡αŸ†αž„αžΊαžšαž”αŸαž„αžŸαž€αž˜αžŸαž›αŸ‹αž–αžΈαž†αŸ’αž“αžΆαŸ†αž…αžΆαžŸαŸ‹ (្០៑៣) αž˜αžΆαž“αž…αŸ†αž“αž½αž“ ្០ αž“αžΆαž€αŸ‹ αž αžΎαž™αžˆαžΊαž”αž“αŸ’αžŠαžŠαž›αŸ‹αž…αž»αž„αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αŸ” αž’αžαŸ’αžšαžΆαž’αžΆαŸ†αž„αžŸαŸŠαžΈαžŠαž„αŸ‹αž‡/αž„ αžšαž”αŸαž„αž‚αžΊ:

34 / 60

In statistics, a population consists of

35 / 60

We measure the sample using statistics in order to:

36 / 60

The negative predictive value of a test decreases:

37 / 60

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

38 / 60

What is the correct answer about a point estimatestatement:

39 / 60

Which statement is not true about confidence intervals?

40 / 60

Which answer below is not correct about the confidence interval:

41 / 60

αžŸαŸ’αžαž·αžαž·αžœαž·αž‘αŸ’αž™αžΆ (statistics) αž˜αžΆαž“αž…αŸ‚αž€αž…αŸαž‰αž‡αžΆ

42 / 60

In statistics, a sample mean:

43 / 60

The upper bound and lower bound of confidence interval are calculated using (chose the correct answer):

44 / 60

Which below statement is not correct:

45 / 60

What is the statement of specificity of a diagnostic test:

46 / 60

If the penalty for missing a case is high (e.g., the disease is fatal and treatment exists, or disease easily spreads) the best diagnostic test is:

47 / 60

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

48 / 60

The meaning of reliability of a test is:

49 / 60

What is the correct answer about a confidence interval statement:

50 / 60

In inferential statistics, we study

51 / 60

If a sensitivity of a screening test was 80%, it means that:

52 / 60

If the diagnostic (confirmatory) test is expensive or invasive the best diagnostic test is:

53 / 60

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

54 / 60

On the statements below which are validstatements of probability:

55 / 60

What is the correct statement of diagnostic test:

56 / 60

A group of 100 people are asked to state their favourite colour. 60 say blue. This experiment says that the probability of someone choosing blue is:

57 / 60

The width of a confidence interval will decrease when which of the following changes occur:

58 / 60

αžαžΎαž’αŸ’αžœαžΈαžαŸ’αž›αŸ‡αž‡αžΆαž•αŸ’αž“αŸ‚αž€αžšαž”αžŸαŸ‹ Descriptive statistics?

59 / 60

You asked five of your classmates about their height. On the basis of this information, you stated that the average height of all students in your university or college is 1.67 meters. This is an example of:

60 / 60

In descriptive statistics, we study:

Your score is

The average score is 0%

0%

Any comments?