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Stats 101 - Chapter 1 Exam Question & Answers 2025, Exams of Nursing

Stats 101 - Chapter 1 Exam Question & Answers 2025

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2024/2025

Available from 07/16/2025

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Stats 101 - Chapter 1 Exam Question &
Answers 2025
Polls and Surveys - CORRECT ANSWERS ✔✔The process of collecting
data from a sample, or subset, of the population in order to determine
information about the whole population.
Should include the target population, sample selection method, sample
size, margin of error, date of the survey and the exact question.
Goal of polls and surveys - CORRECT ANSWERS ✔✔To obtain a
REPRESENTATIVE Sample (a sample that reflects the characteristics in
the population).
Random Sampling - CORRECT ANSWERS ✔✔Involves each unit being
chosen entirely by chance and hence avoids subjective and other biases
and allows for the calculation of likely size of sampling errors. The larger
the sample, the more effective the randomisation is in producing a
representative sample.
Simple random sampling - CORRECT ANSWERS ✔✔Form of random
sampling where every unit has an equal chance of being chosen.
Other types of random sampling - CORRECT ANSWERS ✔✔Stratified
sampling, cluster sampling and systematic sampling.
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Answers 2025

Polls and Surveys - CORRECT ANSWERS ✔✔The process of collecting data from a sample, or subset, of the population in order to determine information about the whole population. Should include the target population, sample selection method, sample size, margin of error, date of the survey and the exact question. Goal of polls and surveys - CORRECT ANSWERS ✔✔To obtain a REPRESENTATIVE Sample (a sample that reflects the characteristics in the population). Random Sampling - CORRECT ANSWERS ✔✔Involves each unit being chosen entirely by chance and hence avoids subjective and other biases and allows for the calculation of likely size of sampling errors. The larger the sample, the more effective the randomisation is in producing a representative sample. Simple random sampling - CORRECT ANSWERS ✔✔Form of random sampling where every unit has an equal chance of being chosen. Other types of random sampling - CORRECT ANSWERS ✔✔Stratified sampling, cluster sampling and systematic sampling.

Answers 2025

Sampling Errors - CORRECT ANSWERS ✔✔- Errors as a result of taking a sample - unavoidable

  • Have the potential to be bigger in smaller samples than in larger ones
  • Possible to determine how large they can be Nonsampling Errors - CORRECT ANSWERS ✔✔- Can be much larger than ... errors - always present
  • Can be virtually impossible to correct for after the completion of the survey.
  • Virtually impossible to determine how badly they will affect the result.
  • Must try to minimise in design of survey (use a pilot survey etc.) Selection Bias - CORRECT ANSWERS ✔✔Population sampled is not exactly the population of interest. Nonresponse Bias - CORRECT ANSWERS ✔✔People who have been specifically chosen to be surveyed but do not respond. Self-selection Bias - CORRECT ANSWERS ✔✔People have not been specifically chosen to be surveyed - anyone may take part.

Answers 2025

Estimate - CORRECT ANSWERS ✔✔A known quantity calculated from the (sample) data to estimate an unknown parameter. Statistical Inference - CORRECT ANSWERS ✔✔The process of using sample data to make useful statements about a population. Confidence in bootstrap confidence interval - CORRECT ANSWERS ✔✔Comes from the fact that this method produces and interval which contains the true value of the parameter a very high percentage of the time. Bootstrap confidence for a parameter - CORRECT ANSWERS ✔✔A range of believable values for the true parameter value Observational Studies - CORRECT ANSWERS ✔✔Used to study the effect of a factor of interest on individuals or units.

  • Comparison of the units that happen to have received each of the levels of the factor of interest.
  • Measure the response for each unit under observed factor level.
  • Aim to make comparisons fair (groups as similar as possible, except factor of interest).

Answers 2025

  • Use some form of random sampling Cross-sectional studies - CORRECT ANSWERS ✔✔Observes a group of individuals or units at a point in time. It is a descriptive study - provides a 'snapshot' of particular point in time. Longitudinal - CORRECT ANSWERS ✔✔Observes the same group of individuals/units over a long period of time. Comprised of a series of cross-sectional studies. Experiments - CORRECT ANSWERS ✔✔Used to study the effect of a treatment on individuals or units.
  • Experimenter determines which units receive treatment.
  • Response is measured for each unit under a given treatment
  • Underlying principle: to compare treatment groups - aim to make comparison fair (groups as similar as possible except for treatment).
  • Use some form of random sampling Completely Randomised design - CORRECT ANSWERS ✔✔Treatments are allocated entirely by chance to the units. Random allocation used, attempt to make the treatment groups as similar as possible - (can only expect this when a large no. of experimental units).

Answers 2025

group the units were assigned, each unit would still have the same actual value of the measure made.