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€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‘αžΈαŸ”

3 / 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™αŸ‡αž–αŸαž›αž˜αž’αŸ’αž™αž˜ αŸ‘αŸ’αŸ αž“αžΆαž‘αžΈ αž€αŸ’αž“αž»αž„αŸ‘ 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“ ៑៑ 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’αŸ’αžœαžΎαžαŸαžŸαŸ’αžαž…αž„αŸ‹αžŠαžΉαž„αžαžΆαžαžΎαžšαž™αŸ‡αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžšαž”αžŸαŸ‹αžαŸ’αž“αžΆαž€αŸ‹αž‘αžΆαŸ†αž„αž–αžΈαžŸαŸ’αž˜αžΎαžšαž‚αŸ’αž“αžΆαžŠαŸ‚αžšαž¬αž‘αŸ αž αžΎαž™αž‘αž‘αž½αž›αž”αžΆαž“ P-value αžšαž”αžŸαŸ‹αžαŸαžŸαŸ’αžαžŸαŸ’αž˜αžΎ αŸ₯%αŸ” αž™αŸ„αž„αžαžΆαž˜αž›αž‘αŸ’αž‹αž•αž›αž“αŸαŸ‡αž‚αŸαž’αžΆαž…αžŸαž“αŸ’αž“αž·αžŠαŸ’αž‹αžΆαž“αžαžΆ

4 / 60

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

5 / 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™αŸ‡αž–αŸαž›αž˜αž’αŸ’αž™αž˜ αŸ‘αŸ’αŸ αž“αžΆαž‘αžΈ αž€αŸ’αž“αž»αž„αŸ‘ 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“ ៑៑ 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”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžšαŸ€αž“αž…αŸ’αžšαžΎαž“αž‡αžΆαž„αž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ 2 CαŸ” αžαžΎαž‚αŸαžαŸ’αžšαžΌαžœαžŸαžšαžŸαŸαžš statistical hypothesis αž™αŸ‰αžΆαž„αžŠαžΌαž…αž˜αŸ’αžαŸαž…?

6 / 60

αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈαŸ’B 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”αžŽαŸ’αžŽαžΆαž›αŸαž™αž‡αžΆαž˜αž’αŸ’αž™αž˜ 50 αž“αžΆαž‘αžΈ αž€αŸ’αž“αž»αž„αŸ‘ αžαŸ’αž„αŸƒαŸ” αž‚αŸαž…αž„αŸ‹αž’αŸ’αžœαžΎ hypothesis testing αžŠαŸ„αž™αž˜αžΆαž“ H0: αžšαž™αŸ‡αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž€αŸ’αž“αž»αž„αž”αžŽαŸ’αžŽαžΆαž›αŸαž™β‰₯ αŸ¦αŸ αž“αžΆαž‘αžΈ αž“αž·αž„ Ha: αžšαž™αŸ‡αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž€αŸ’αž“αž»αž„αž”αžŽαŸ’αžŽαžΆαž›αŸαž™ < αŸ¦αŸ αž“αžΆαž‘αžΈαŸ” αž€αžΆαžšαž’αŸ’αžœαžΎαžαŸαžŸαŸ’αžαž”αŸ‚αž”αž“αŸαŸ‡αž‡αžΆαž”αŸ’αžšαž—αŸαž‘

7 / 60

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

8 / 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:

9 / 60

The meaning of reliability of a test is:

10 / 60

What is the correct statement of negative predictive value (NPV) of a screening test:

11 / 60

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

12 / 60

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

13 / 60

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

14 / 60

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

15 / 60

A positive predictive value depend on:

16 / 60

A parameter is a measure which is computed from

17 / 60

The Positive Predictive Value was 40% means that:

18 / 60

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

19 / 60

In descriptive statistics, we study:

20 / 60

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

21 / 60

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

22 / 60

Which below statement is not correct:

23 / 60

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

24 / 60

A normal distribution curve is determined by the (chose the correct answer):

25 / 60

The negative predictive value of a test decreases:

26 / 60

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

27 / 60

What is the correct answer about a point estimate statement:

28 / 60

Which answer below is not correct about the confidence interval:

29 / 60

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

30 / 60

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

31 / 60

αž“αŸαŸ‡αž‡αžΆαž…αŸ†αž„αžΆαž™αž•αŸ’αž›αžΌαžœαž‚αž·αžαž‡αžΆαž‚αžΈαž‘αžΌαž˜αŸ‰αŸ‚αžαŸ’αžšαž–αžΈαž•αŸ’αž‘αŸ‡αžšαž”αžŸαŸ‹αž’αŸ’αž“αž€αž‡αŸ†αž„αžΊ αŸ¦αž“αžΆαž€αŸ‹αž˜αž€αž˜αžŽαŸ’αžŒαž›αžŸαž»αžαž—αžΆαž–αž˜αž½αž™: 4,7,3,5,3,8αŸ” αž”αŸ’αžšαžŸαž·αž“αž”αžΎ 8 αžαŸ’αžšαžΌαžœαž”αžΆαž“αž‚αŸαž€αžαŸ‹αž…αŸ’αžšαž‘αŸ†αž‡αžΆ 80 αžœαž·αž‰ αžαžΎαž“αžΉαž„αž˜αžΆαž“αž€αžΆαžšαž”αŸ’αžšαŸ‚αž”αŸ’αžšαž½αž›αž’αŸ’αžœαžΈαž€αžΎαžαž‘αžΎαž„?

32 / 60

An attack rate is:

33 / 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:

34 / 60

αž›αž€αŸ’αžαžŽαŸˆαžšαž½αž˜αžšαž”αžŸαŸ‹αž€αŸ’αžšαžΆαž αŸ’αžœαž·αž€αžŠαŸ‚αž›αž˜αžΆαž“ αž€αžΌαž’αžšαžŠαŸ„αž“αŸ αž”αž½αž“αž‡αŸ’αžšαž»αž„αž‘αŸ’αžšαžœαŸ‚αž„αž‚αžΊ:

35 / 60

This formula for calculated:

36 / 60

Bias: The true biologic variation in clinical measurement is:

37 / 60

αžŠαžΎαž˜αŸ’αž”αžΈαž”αž„αŸ’αž αžΆαž‰αž’αŸ„αž™αž’αŸ’αž“αž€αž˜αžΎαž›αž”αžΆαž“αž™αž›αŸ‹αž›αž€αŸ’αžαžŽαŸˆαžŠαŸ†αž”αžΌαž„αž”αž„αŸ’αž’αžŸαŸ‹αžšαž”αžŸαŸ‹αž‘αž·αž“αŸ’αž“αž“αŸαž™αž‚αžΊ:

38 / 60

The categories of variable show that Male, Female and Blood type: type A, type B, type O, type AB is the type of:

39 / 60

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

40 / 60

To measure the risk of death occurring either during pregnancy after completed 28 weeks of gestation or within 1 week after delivery, by calculation of:

41 / 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:

42 / 60

αž€αŸ’αž“αž»αž„αžαŸ’αž“αžΆαž€αŸ‹αž˜αž½αž™αž˜αžΆαž“αž“αž·αžŸαž·αŸ’αžŸαžαžŸαžšαž»αž”αž…αŸ†αž“αž½αž“ ៩០ αž“αžΆαž€αŸ‹ αž€αŸ’αž“αž»αž„αž“αŸ„αŸ‡αž˜αžΆαž“αž“αž·αžŸαŸ’αžŸαž·αžαž“αžΆαžšαžΈ ៣០ αž“αžΆαž€αŸ‹αŸ” Ratio αžšαžœαžΆαž„αž“αž·αžŸαŸ’αžŸαž·αžαž”αž»αžšαžŸαž“αž·αž„αž“αžΆαžšαžΈαž‚αžΊαŸ–

43 / 60

The prevalence of a disease depends on:

44 / 60

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

45 / 60

Definition of mode: The mode is the value that:

46 / 60

αžαžΎαž’αžαŸ’αžšαžΆαž’αŸ’αžœαžΈ αžŠαŸ‚αž›αž‚αŸαž‚αžŽαž“αžΆ αž…αŸ†αž“αž½αž“αž“αŸƒαž‘αžΆαžšαž€αžŸαŸ’αž›αžΆαž”αŸ‹ αž’αžΆαž™αž»αž€αŸ’αžšαŸ„αž˜ ៧ αžαŸ’αž„αŸƒ?

47 / 60

αž˜αŸ‰αžΌαž (Mode) αž‚αžΊαž‡αžΆ:

48 / 60

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

49 / 60

The normal distribution has extremely:

50 / 60

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

51 / 60

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

52 / 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›αŸƒ Variance αž‚αžΊ:

53 / 60

Point prevalent of the disease refers to:

54 / 60

To measure how fatal a disease / condition is. It predicts the risk of dying if the disease is contracted, by calculation of:

55 / 60

Proportion is the expression:

56 / 60

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

57 / 60

αž“αŸ…αž€αž˜αŸ’αž–αž»αž‡αžΆαž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αž“αŸƒαž˜αžΆαžαžΆ Taux de mortalitΓ© Maternelle, Maternal Mortality Rate αž˜αžΆαž“ ៀ០ 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

58 / 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“αŸ¦αŸ αŸ αŸ αŸ  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“ ៀ% αž€αž»αž˜αžΆαžšαžŸαŸ’αž›αžΆαž”αŸ‹αž’αžΆαž™αž»αž€αŸ’αžšαŸ„αž˜ ៑ αž†αŸ’αž“αžΆαŸ† αž˜αžΆαž“ ្ៀ០ αž“αžΆαž€αŸ‹αŸ” αž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αž“αŸƒαž€αž»αž˜αžΆαžš (Taux de mortalitΓ© Infantile, Infant Mortality Rate) αž˜αžΆαž“:

59 / 60

Definition of midrange. The midrange is the:

60 / 60

Post- Neonatal mortality rate is used to measure the:

Your score is

The average score is 0%

0%

Any comments?