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NSG 522 Module 5 Questions and Answers 2024/2025 £9.91   Add to cart

Exam (elaborations)

NSG 522 Module 5 Questions and Answers 2024/2025

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  • Module
  • NSG 522
  • Institution
  • NSG 522

inferential statistics  allows us to go beyond the data to generalize the larger population There are two broad areas of statistical inference: - Estimation of the population parameters o Used to estimate population parameters such as means and proportions - Hypothesis testing o A relation...

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  • October 11, 2024
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  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • NSG 522
  • NSG 522
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2 0 2 4 /2025 | © copyright | This work may not be copied for profit gain Excel!


NSG 522 Module 5 Questions and
Answers 2024/2025
inferential statistics

 allows us to go beyond the data to generalize the larger population


There are two broad areas of statistical inference:

- Estimation of the population parameters

o Used to estimate population parameters such as means and proportions

- Hypothesis testing

o A relationship between variables

o A difference between groups




population parameters


 o Are described using Population Parameters (P for P)
Population parameters are reported using Greek letters (e.g. μ (n), σ (standard deviation))


You can never know the true population values, you can only estimate parameters

Do NOT report parameters (e.g. μ, σ)




sample statistics

 o Samples are described using Sample Statistics (S for S)
Sample Statistics are reported using Roman letters (e.g. M, SD)

Statistics are estimates of the population parameters


1|Page| GradeA+ | 2 0 0 2 5

, 2 0 2 4 /2025 | © copyright | This work may not be copied for profit gain Excel!

When reporting the results of research, always report sample statistics using Roman letters

(letters we use every day)

M instead of μ


SD instead of σ




sampling


 Process researchers use to select subjects from the population being studied
Never assume that a random sampling method was used

Random sampling is the best method to use




probability samples

 • Probability sample= random sampling
• Every member of the population has a chance of being selected

• The probability of being selected can be calculated

• Probability sampling methods:

simple random, systematic, stratified random, cluster




random sample


 Enumerate all members of the population
Select the desired number of individuals at random

Each individual has the same probability of being selected

Number the entire sample and choose a certain number of individuals at random to test



1|Page| GradeA+ | 2 0 0 2 5

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