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NSG 522 Module 5 Questions and Correct Answers | Latest Update $10.49   Add to cart

Exam (elaborations)

NSG 522 Module 5 Questions and Correct Answers | Latest Update

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  • Course
  • NSG 522
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  • 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 relationshi...

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  • October 3, 2024
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  • 2024/2025
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  • Questions & answers
  • NSG 522
  • NSG 522
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1 | P a g e | © copyright 2024/2025 | Grade A+




NSG 522 Module 5 Questions and
Correct Answers | Latest Update
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)


Master01 | October, 2024/2025 | Latest update

, 1 | P a g e | © copyright 2024/2025 | Grade A+




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


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

Master01 | October, 2024/2025 | Latest update

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