Santé Publique Test

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Santé Publique Test

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ការសិក្សាទៅលើសំណាកនៃនិស្សិតឆ្នាំទី២A ចំនួន១៥នាក់ រកឃើញថានិស្សិតបានចំណាយពេលសិក្សានៅផ្ទះរយះពេលមធ្យម ១២០នាទី ក្នុង១ ថ្ងៃ ហើយមាន standard deviation ៦០នាទី ហើយការសិក្សាទៅលើសំណាកនិស្សិតឆ្នាំទី ២C ចំនួន ១១ នាក់បានរកឃើញថានិស្សិតបាចំណាយពេលសិក្សារយៈពេល ១០០នាទីក្នុង១ថ្ងៃហើយមាន standard deviation 20 នាទី។ តាមការពិនិត្យមើលទៅលើការរកឃើញក្នុងសំណាកទាំាងពីរនេះ យើងអាចសន្និដ្ឋានបានថា

a. . របាយនៃរយះពេលសិក្សានៅផ្ទះរបស់សំណាកនៃនិស្សិតឆ្នាំទី ២A ដូចគ្នាទៅនឹងរបាយនៃរយះពេលសិក្សារបស់សំណាកនៃនស្សិតឆ្នាំទី ២C

b. . និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះស្មើនិស្សិតថ្នាក់ទី ២C

c. . របាយនៃរយះពេលសិក្សានៅផ្ទះរបស់សំណាកនៃនិស្សិតឆ្នាំទី ២A ធំជាងរបាយនៃរយះពេលសិក្សារបស់សំណាកនៃនស្សិតឆ្នាំទី ២C

d. . និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះច្រើនជាងនិស្សិតថ្នាក់ទី ២C

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ការសិក្សាទៅលើសំណាកនៃនិស្សិតឆ្នាំទី២A ចំនួន១៥នាក់ រកឃើញថានិស្សិតបានចំណាយពេលសិក្សារយៈពេលមធ្យម ១២០នាទី ក្នុង១ ថ្ងៃ ហើយមាន standard deviation ៦០នាទី ហើយការសិក្សាទៅលើសំណាកនិស្សិតឆ្នាំទី ២Cចំនួន ១១ នាក់បានរកឃើញថានិស្សិតបានចំណាយពេលសិក្សារយៈពេល ១០០នាទីក្នុង១ថ្ងៃហើយមាន standard deviation 20 នាទី។គេចង់ប្រៀបធៀបថាតើនិស្សិតឆ្នាំទី ២A និង 2 B បានចំណាយពេលសិក្សាស្មើរគ្នាដែរឬទេ តើគេត្រូវសរសេរ statistical hypothesis យ៉ាងដូចម្តេច?

a. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ ≤ រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C; Ha: និស្សិតថ្នាក់ទី ២A បានចំណាយពេលសិក្សានៅផ្ទះ > រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C

b. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ ≠ រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C; Ha: និស្សិតថ្នាក់ទី ២A បានចំណាយពេលសិក្សានៅផ្ទះ = រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C

c. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ ≥ រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C; Ha: និស្សិតថ្នាក់ទី ២A បានចំណាយពេលសិក្សានៅផ្ទះ < រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C

d. . H0: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ = រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C; Ha: និស្សិតឆ្នាំទី២A បានចំណាយពេលសិក្សានៅផ្ទះ ≠ រយះពេលសិក្សារបស់និស្សិតឆ្នាំទី2C

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ការសិក្សាទៅលើសំណាកនៃនិស្សិតឆ្នាំទី២B ចំនួន១៥នាក់ រកឃើញថានិស្សិតបានចំណាយពេលសិក្សានៅបណ្ណាល័យជាមធ្យម 50 នាទី ក្នុង១ ថ្ងៃ។ គេចង់ធ្វើ hypothesis testing ដោយសរសេថា H0: រយះពេលសិក្សាក្នុងបណ្ណាល័យស្មើ ៦០នាទី និង Ha: រយះពេលសិក្សាក្នុងបណ្ណាល័យ ≠ ៦០នាទី។ ការធ្វើតេស្តបែបនេះជាប្រភេទ

a. . One sided, one sample hypothesis testing

b. . One sided, two sample hypothesis testing

c. . Two sided, two sample hypothesis testing

d. . Two sided, one sample hypothesis testing

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គោលការណ៍សំរាប់ធ្វើការសំរេចចិត្តនៅក្នុងការធ្វើhypothesis testing គឺត្រូវពឹងផ្នែកលើ

a. . ប្រូបាប៊ីលីតេរបស់ Ha

b. . ប្រូបាប៊ីលីតេរបស់ H0

c. . ប្រូបាប៊ីលីតេដែលរកឃើញតំលៃនៅក្នុងក្រុមសំណាក(Observed) ដោយឧបមាថា H0 ពិត។

d. . ទំហ៊ំនៃភាពខុសគ្នារវាងមធ្យមភាគរបស់ក្រុមសំណាកមួយទៅនឹងក្រុមសំណាកមួយទៀត

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នៅក្នុង One sided hypothesis testing, យើងអាច Reject H0 ដោយប្រើប្រាស់ Z ឬ t Distribution

a. . ក្នុងតំបន់ចំនួន ១ ដែលអាចនៅខាងស្តាំ ឬ ខាងឆ្វេងនៃ Distribution អាស្រ័យទៅតាម null hopothesis

b. . ក្នុងតំបន់ចំនួន ២ (ទាំងសងខាង) នៃ Distribution

c. . ក្នុងតំបន់ចំនួន ១ ខាងស្តាំង នៃ Distribution

d. . ក្នុងតំបន់ចំនួន ១ ខាងឆ្វេង នៃ Distribution

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តើអ្វីខ្លះដែលមិនមែនជាផ្នែករបស់Descriptive statistics?

a. . Measure of Central of tendency

b. . Estimation & Hypothesis testing

c. . Probability

d. . Measure of dispersion

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តើអ្វីខ្លះជាផ្នែករបស់Descriptive statistics?

a. . Measure of central tendency

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

c. . Range & median

d. . Measure of dispersion

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ការសិក្សាទៅលើសំណាកនៃនិស្សិតឆ្នាំទី២B ចំនួន១៥នាក់ រកឃើញថានិស្សិតបានចំណាយពេលសិក្សានៅបណ្ណាល័យជាមធ្យម ៦០នាទី ក្នុង១ ថ្ងៃ ហើយមានstandard deviation ៤០នាទី។គេអាចប្រើ point estimation ដើម្បីធ្វើការសន្និដ្ឋានថា

a. . និស្សិតឆ្នាំទី២B បានចំណាយពេលសិក្សាយ៉ាងច្រើន ៦០ នាទី

b. . និស្សិតឆ្នាំទី ២B បានចំណាយពេលសិក្សាជាមធ្យម ៦០នាទី ប៉ុន្តែរបាយនៃរយះពេលសិក្សានេះមិនមានភាពខុសគ្នាទេ

c. . និស្សិតឆ្នាំទី២B បានចំណាយពេលសិក្សាយ៉ាងតិច ៦០នាទី

d. . និស្សិតឆ្នាំទី ២B បានចំណាយពេលសិក្សាជាមធ្យម ៦០នាទី ប៉ុន្តែរបាយនៃរយះពេលសិក្សានេះមានភាពខុសគ្នាខ្លាំងពីនិស្សិតម្នាក់ទៅម្នាក់ទៀត

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ការសិក្សាទៅលើសំណាកនៃនិស្សិតឆ្នាំទី២B ចំនួន១៥នាក់ រកឃើញថានិស្សិតបានចំណាយពេលសិក្សានៅបណ្ណាល័យជាមធ្យម 50 នាទី ក្នុង១ ថ្ងៃ។ គេចង់ធ្វើ hypothesis testing ដោយមាន H0: រយះពេលសិក្សាក្នុងបណ្ណាល័យ≥ ៦០នាទី និង Ha: រយះពេលសិក្សាក្នុងបណ្ណាល័យ < ៦០នាទី។ ការធ្វើតេស្តបែបនេះជាប្រភេទ

a. . Two sided, two sample hypothesis testing

b. . Two sided, one sample hypothesis testing

c. . One sided, one sample hypothesis testing

d. . One sided, two sample hypothesis testing

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

a. . Estimation methods

b. . two-sided hypothesis testing

c. . two-sided hypothesis testing សំរាប់សំណាក២ក្រុម

d. . one-sided hypothesis testing

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Definition of mid range, mid range is:

a. Is the value that is closest to all the other values in a distribution

b. Is the half-way point or the midpoint of a set of observations

c. Occurs most often in a set of data

d. Is the beginning value of a set of data that has been put into rank order.

e. The middle value of a set of data that has been put into rank order

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A decrease in prevalence may be due to:

a. Fail treatment of an illness

b. A short duration of disease

c. Decrease in virulence not leading to more rapid death.

d. A high incidence

e. Not effective prevention program

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The numerator of calculation neonatal mortality rate is:

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

b. # perinatal deaths occurring in a specified area and period of time.

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

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

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

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នៅកម្ពុជាអត្រាមរណៈភាពនៃមាតា Taux de mortalité Maternelle, Maternal Mortality Rate មាន ៤០ ភាគ១០០០ កើតរស់ក្នុងឆ្នាំ ២០០០។ មានន័យថាក្នុងកំឡុងឆ្នាំ ២០០០

a. មាតាស្លាប់សរុបចំនួន ៤០ នាក់ក្នុងចំណោមប្រជាជនមធ្យម ១០០០ នាក់

b. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៤០ នាក់ អាយុក្រោម ១ឆ្នាំ

c. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៤០ នាក់ អាយុក្រោម ២៨ ថ្ងៃ

d. ផ្សេងពីនេះ

e. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៤០ នាក់ទាក់ទងការមានផ្ទៃពោះ និង ឆ្លងទន្លេ

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

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

b. the difficult measure of central location to understand and explain.

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

d. a good descriptive measure, particularly for data analysis.

e. the easiest measure of central location to understand and explain

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Age- and sex specific death 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. Average risk of death in the population at large.

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

e. Risk of dying within 28 days of birth.

17 / 60

The population beginning of the year 2000 in Rattanakiri province has 60000 populations (P) and the end of the same year and same place have 70000 populations.All cases of mortality are 200 cases. # Live births = 12000 live births. The mean population in Rattanakiri in year 2000 has:

a. 70000P

b. 60000P

c. 60000P-200 deaths

d. (60000P+70000P)/2

e. 60000P +12000 Live births

18 / 60

The inclusion of only “classic” cases of the disease, as defined by strict diagnostic criteria, will:

a. Overestimate prevalence

b. Overestimate incidence and prevalence.

c. Underestimate incidence and prevalence.

d. Underestimate only prevalence

e. Overestimate incidence

19 / 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. Ratio

b. Mode

c. Mean

d. Median

e. Mid range

20 / 60

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

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

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

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

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.

21 / 60

ក្នុងចំណោមទារក ១០០០ កើតរងស់ មានទារកស្លាប់ ៦០ នាក់ អាយុក្រោម ២៨ ថ្ងៃ សុច្ចនាករនេះបញ្ជាក់ ការគណនា៖

a. Taux de mortalité Maternelle, Maternal Mortality Rate

b. ផ្សេងពីនេះ

c. Taux de mortalité infantile, Infant Mortality Rate

d. Taux de mortalité Néonatale , Neonatal Mortality Rate

e. Taux de mortalité Périnatal , Perinatal Mortality Rate

22 / 60

The inclusion of “probable” case, according to more lenient diagnostic criteria, may:

a. Overestimate disease frequency.

b. Underestimate disease frequency

c. Underestimate only prevalence disease.

d. Underestimate prevalence disease

e. Overestimate incidence disease.

23 / 60

Definition of midrange. The midrange is the:

a. End of observations

b. Value that occurs most often in a set of data

c. Half-way point or the midpoint of a set of observations.

d. Middle value of a set of data that has been put into rank order.

e. Beginning of observations

24 / 60

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

a. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៣០ នាក់ អាយុក្រោម ២៨ ថ្ងៃ

b. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៣០ នាក់ទាក់ទងការមានផ្ទៃពោះ និង ឆ្លងទន្លេ

c. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៣០ នាក់អាយុក្រោម ១ ឆ្នាំ

d. ក្នុងចំណោមទារក ១០០០ កើតរស់មានទារកស្លាប់ ៣០ នាក់

e. ផ្សេងពីនេះ

25 / 60

អ៊ីស្ដូក្រាម (Histogram) គឺជាក្រាហ្វិកមួយ:

a. ចង់បង្ហាញទិន្នន័យ លើសពីមួយឈុត តាមរបៀបជាការបែងចែកសង្វាក់ការកកើតនោះ

b. ដែលត្រូវបានប្រើប្រាស់សំរាប់បង្ហាញតែការបែងចែកចំនួនករណីនៃទិន្នន័យបរិមាណ

c. ដែលមានគំនូសបន្ទះបញ្ឈរឬផ្ដេកដែលមានទទឺងស្មើគ្មា ហើយឃ្លាតពីគ្នាដោយចន្លោះទទេ

d. ផ្សេងពីនេះ

e. ដែលមានប្រយោជន៍ក្នុងការចង្អុលប្រាប់នូវទំនាក់ទំនងរវាង Variable ពីរ

26 / 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:

a. Age- and sex specific death rate.

b. Neonatal mortality rate

c. Crude death rate (CDR)

d. Stillbirth rate (Late fetal death rate).

e. Perinatal mortality rate.

27 / 60

The prevalence of a disease depends on:

a. Prevention of the diseases

b. Mortality rate

c. Effectiveness of treatment

d. Incidence rate and its duration

e. Natality rate

28 / 60

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

a. Infant mortality rate.

b. Causes- specific death rate (CSDR)

c. Post- neonatal mortality rate.

d. Maternal mortality rate (MMR)

e. Case fatality rate (CFR)

29 / 60

នៅក្នុងខេត្តប៉ៃលិនមានទារកកើតរស់អាយុក្រោម ៧ ថ្ងៃ ៦០ នាក់ នៅឆ្នាំ ២០១៤។ ទារកស្លាប់អាយុក្រោម ៧ ថ្ងៃស្លាប់ ៦ នាក់ និង ក្រោម ២៨ថ្ងៃ ស្លាប់ ១០ នាក់។ Taux de mortalité Périnatal, Perinatal Mortality Rate មាន:

a. ផ្សេងពីនេះ

b. ១៦៦,៦៦/១០០០ កើតរស់

c. ១០០/១០០០០ កើតរស់

d. ២៦៦,៦៦/១០០០ កើតរស់

e. ១០០/១០០០ កើតរស់

30 / 60

By definition a variable is:

a. Lower limit number

b. Subject to change

c. Sometime to change

d. Constant

e. Upper limit number

31 / 60

All of them are the true answers only one is the false answer. Find the false answer: Crude death rate (CDR) is used:

a. To measure the average risk of death in the population at large.

b. Measure the rate at which deaths are taking place from all causes in a given population during a specified period.

c. Is often used for comparing relative mortality in a given area between 2 period that are not too far apart.

d. To measure risk of death among person in a specific age and sex group.

e. Can only be used to compare relative mortality in 2 populations if they have similar Age/ Sex composition.

32 / 60

បើប្រសិនជាការធ្វើរោគវិនិច្ឆ័យជម្ងឺ ដោយជ្រើសតែ Classic cases ដោយកំណត់យកតែ Strict diagnostic criteria តើបណ្ដាលអោយមានការប្រែប្រួលអ្វីខ្លះ?

a. Under estimate incidence and prevalence

b. Over estimate incidence and prevalence

c. Under estimate incidence

d. Under estimate Prevalent

e. ផ្សេងពីនេះ

33 / 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. Ratio scale

b. Interval scale

c. Proportional scale

d. Ordinal scale

e. Nominal scale

34 / 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 from public and private sector.

b. Identifying cases from personal interviews

c. Identifying cases by clinical evaluation

d. Identifying cases by reviewing health records

e. Counting recurrences

35 / 60

Ratio expresses the relationship between:

a. 4 items

b. 1 items

c. 3 items

d. 5 items

e. 2 items

36 / 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 parameter

b. .A population

c. .A sample

d. An observation

37 / 60

Which below statement is not correct:

a. .A point estimate is used to estimate the population parameter

b. .A point estimate is two numbersthat are estimate of the population parameter

c. .A point estimate is the statistic computed from sample information

d. .A point estimate is single numberthat is an estimate of the population parameter

38 / 60

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?

a. 3%

b. 8%

c. 46%

d. 43%

39 / 60

Which below statement is not correct:

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

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

c. Confidence interval describes the precision of the estimate

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

40 / 60

On the statements below what is valid statements of probability:

a. Our probability of dying is 100%

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

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

d. We are 150% certain of success

41 / 60

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

a. Range and standard deviation

b. Mean and sample size

c. Mean and standard deviation

d. Range and sample size

42 / 60

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

a. Among those who had a positive screening new test, the probability of disease was 44%.

b. Among those who had a positive screening new test, the probability of disease was 56%.

c. Among those who had a negative screening new test, the probability of being disease-free was 56%

d. Among those who had a negative screening new test, the probability of being disease-free was 44%

43 / 60

The Positive Predictive Value of a test increases:

a. The number of population stable

b. Prevalence of the disease in the population increases

c. The prevalence of disease decreases

d. The incidence of disease increase

44 / 60

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:

a. 255/(255+2302)

b. 2302/(255+2302)

c. 255/2302

d. 2302/255

45 / 60

What is the correct answer about a point estimatestatement:

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

b. .A point estimate is a multiple numbers

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

d. .A point estimate is a single number

46 / 60

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?

a. Positive predictive value

b. Sensitivity

c. Negative predictive value

d. Specificity

47 / 60

In inferential statistics, we study

a. How to estimate the sample size

b. The methods to make decisions about population based on sample results

c. How a sample is obtained from a population

d. How to make decisions about mean, median, or mode

48 / 60

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

a. .A 98% confidence interval

b. .A 99% confidence interval

c. .A 90% confidence interval

d. .A 95% confidence interval

49 / 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 the statistic, computed from population information

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

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

50 / 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 ability of the test to identify correctly those who do not have the disease from all individuals free from 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 have the disease from all individuals with the disease

51 / 60

Reliability of a test means that:

a. The results of a test or measure are identical or closely similar each time it is conducted

b. The results of a test or measure are incorrect each time it is conducted

c. The results of a test or measure are changed each time it is conducted

d. The results of a test or measure are not identical or closely similar each time it is conducted

52 / 60

On the statements below what is valid statements of probability:

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

b. .A woman’s probability of suffering from breast cancer in her life-time is more than 1

c. .A woman’s probability of suffering from breast cancer in her life-time is 12 in 1

d. .A woman’s probability of suffering from breast cancer in her life-time is less than 0.

53 / 60

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

a. The sample size n increases

b. The precision of the estimate of the population mean decreases

c. The desired level of confidence increases

d. The sample size n decreases

54 / 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 test hypothesis

d. When the purpose is to calculate sample size

55 / 60

The Positive Predictive Value depends on:

a. The incidence of disease

b. Prevalence of the disease in the population tested,

c. The prevalence of disease

d. The number of population

56 / 60

The standard error of the mean of a sample is:

a. An estimate of the standard deviation of the sample

b. Not increased as the sample size increases

c. Based on a non-normal distribution

d. Used to determine confidence level of significant test

57 / 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:

a. 40%

b. 50%

c. 30%

d. 60%

58 / 60

On the statements below which are validstatements of probability:

a. Our probability of dying is 100%

b. We are 101% certain of success.

c. We are 150% certain of success.

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

59 / 60

Which of these is most likely to happen?

a. Event D, which has a probability of 0.1

b. Event B, which has a probability of 0.75

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

d. Event C, which has a probability of 0.5

60 / 60

What is the wrong interpretation of 95% confidence interval:

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

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

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

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

Your score is

The average score is 0%

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និស្សិតអាចប្រាប់មកកាន់ពួកយើងបានដើម្បីកែកំហុស ឬអំពីបញ្ហាដោយអចេតនាណាមួយដែលកើតមានកំឡុងពេលធ្វើតេស្ត