Statistical reasoning for health sciences, Exams of Mathematics

Statistical reasoning for health sciences

Typology: Exams

2022/2023

Available from 05/19/2023

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Statistical reasoning for health sciences
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1. Population Collection of persons things or objects under study.
2. Sample a subset of the population
3. statistic a number that describes some characteristic of a sample
4. Parameter a numerical measurement describing some characteristic
of a population
5. representative
sample a sample that accurately reflects the characteristics of the
population as a whole
6. Variable A characteristic that can be determined for each member
of a population.
7. Numerical Vari-
ables (Quantita-
tive)
8. Categorical Vari-
able (Qualitative)
Take on values with equal units such as weight in lbs or
time in hours
place an individual into groups based on a characteristic,
behavior, or outcome
9. Data Actual values of the variable. Can be words or numbers.
10. qualitative data Data that approximates or characterizes but does not
measure the attributes, characteristics, properties, etc., of
a thing or phenomenon.
11. quantiative data Information that can be expressed in statistical or numer-
ical form
12. random sample method of selecting from a population in which each per-
son has an equal probability of being selected
13. stratified sample the population is divided into strata and a proportionate
random sample is taken from each stratum
14. cluster sample obtained by selecting all individuals within a randomly
selected collection or group of individuals
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  1. Population Collection of persons things or objects under study.
  2. Sample a subset of the population
  3. statistic a number that describes some characteristic of a sample
  4. Parameter a numerical measurement describing some characteristic of a population 5. representative sample

a sample that accurately reflects the characteristics of the population as a whole

  1. Variable A characteristic that can be determined for each member of a population. 7. Numerical Vari- ables (Quantita- **tive)
  2. Categorical Vari-** able (Qualitative)

Take on values with equal units such as weight in lbs or time in hours

place an individual into groups based on a characteristic, behavior, or outcome

  1. Data Actual values of the variable. Can be words or numbers.
  2. qualitative data Data that approximates or characterizes but does not measure the attributes, characteristics, properties, etc., of a thing or phenomenon.
  3. quantiative data Information that can be expressed in statistical or numer- ical form
  4. random sample method of selecting from a population in which each per- son has an equal probability of being selected
  5. stratified sample the population is divided into strata and a proportionate random sample is taken from each stratum
  6. cluster sample obtained by selecting all individuals within a randomly selected collection or group of individuals
  1. systemic sample Obtained by selecting every n-th individual from the pop- ulation. The first individual selected corresponds to a ran- dom number between 1 and k. 16. convenience sample

a form of nonprobability sample using respondents who are convenient or readily accessible to the researcher—for example, employees, friends, or relatives

  1. nominal scale Qualitative (categorical) measurement. Not ordered.
  2. ordinal scale a scale of measurement in which the measurement cate- gories form a rank order along a continuum
  3. interval scale a scale of measurement in which the intervals between numbers on the scale are all equal in size
  4. ratio scale a quantitative scale of measurement in which the numer- als have equal intervals and the value of zero truly means "nothing". Differences in data have meaning and can be calculated
  5. Frequency Number of times value of data occurs 22. relative frequen- **cy
  6. cumulative rela-** tive frequency

the fraction or percent of the time that an event occurs to the total number of outcomes

the sum of relative frequency up through, and including, the category of interest

  1. average mean
  2. Blinding a technique where the subjects do not know whether they are receiving a treatment or a placebo 26. categorical vari- able

a variable that names categories (whether with words or numerals)

  1. control group the group that does not receive the experimental treat- ment.
  1. Trial one repetition of measurements or experiment. Happens one time.