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SantΓ© Publique Preparation (Dr. Tol Bunkea)

 

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1)

On the statements below which are valid statements of probability:

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2)

On the statements below what is valid statements of probability:

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3)

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

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4)

The Negative Predictive Value was 98% means that:

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5)

Which below statement is not correct:

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6)

ΞΌ is an example of a

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7)

What is the wrong interpretation of 95% confidence interval:

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8)

Which answer below is not correct about the confidence interval:

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9)

What is the correct answer about a confidence interval statement:

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

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11)

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?

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12)

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

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13)

Which of these is most likely to happen?

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14)

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

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15)

Which below statement is not correct:

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16)

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

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17)

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

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18)

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:

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19)

Reliability of a test means that:

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20)

A positive predictive value of a test increases as:

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21)

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

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22)

A population parameter is likely to occur (chose the correct answer):

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23)

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

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24)

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

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25)

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

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26)

Chose the incorrect statement describe the diagnostic test:

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27)

A positive predictive value depend on:

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28)

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

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29)

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

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30)

The width of a confidence interval is influenced by:

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31)

What is the correct statement of diagnostic test:

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32)

A positive predictive value depend on:

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33)

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

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34)

A negative predictive value of a test decreases as:

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35)

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

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36)

The negative predictive value of a test decreases:

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37)

A parameter is a measure which is computed from

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38)

The standard error of the mean of a sample is:

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39)

The primary reason for selecting a sample from a population is:

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40)

In inferential statistics, we study

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41)

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

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42)

Which below statement is not correct:

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43)

We measure the sample using statistics in order to:

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44)

Which below statement is not correct:

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45)

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

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46)

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

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47)

In a study of Cambodian people over 65 years of age, it is found that 255 have heart disease and 2302 do not. If a Cambodian over 65 years of age is randomly selected, what is the estimated probability that he or she has heart disease:

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48)

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

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49)

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

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50)

Which branch of statistics deals with the techniques that are used to organize, and summarize and simplify data:

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51)

Which below statement is not correct:

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52)

What is the correct statement of positive predictive value (PPV) of a screening test:

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53)

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

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54)

In statistics, a population consists of

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55)

The width of a confidence interval is influenced by:

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56)

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

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57)

If an event has a probability of 0.1 it is:

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58)

What is the statement of sensitivity of a diagnostic test:

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59)

The Positive Predictive Value was 40% means that:

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60)

What is the correct answer about a point estimate statement:

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61)

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

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62)

Statistic is a numerical quantity, which is calculated from:

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63)

In descriptive statistics, we study:

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64)

If an event is impossible it has a probability of:

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65)

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

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66)

On the statements below which are validstatements of probability:

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67)

What is the correct answer about a point estimatestatement:

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68)

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

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69)

The meaning of reliability of a test is:

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70)

A screening test result for cervical cancer show that NPV= 99%. It means that:

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71)

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

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72)

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

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73)

What is the correct statement of screening test:

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74)

What is the statement of specificity of a diagnostic test:

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75)

Population census is conducted through

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76)

The factors that determine the width of a confidence interval are except one:

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77)

Below is the common screening test except one:

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78)

The Positive Predictive Value of a test increases:

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79)

If an event has a probability of 0.8 it is:

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80)

On the statements below which are validstatements of probability:

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81)

In descriptive statistics, we study:

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82)

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

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83)

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:

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84)

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

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85)

The standard error of the mean of a sample is:

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86)

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

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87)

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

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88)

What is the correct answer about a point estimatestatement:

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89)

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

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90)

On the statements below what is valid statements of probability:

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91)

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

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92)

Which statement is not true about confidence intervals?

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93)

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?

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94)

Which answer below is correct about the confidence interval:

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95)

If a negative predictive value was 98%, it means that:

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96)

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:

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97)

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

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98)

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

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99)

Students had attended a blood donor session at the University of Health Science when a new donor arrived. Blood can be classified into 4 groups: O, A, B and AB. The table below shows the number of people in each blood group. What is the probability that the next donor belongs to blood group O?

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100)

In statistics, a sample mean:

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101)

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

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102)

The Positive Predictive Value depends on:

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103)

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

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104)

When the new drug was clinically tested, 117 patients reported headaches and 617 did not. Based on this sample what is the probability that a new drug user will experience a headache:

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The average score is 71%

 

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