NSG 6101 (NSG6101)
California Southern University
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NSG 6101 Week 4 Knowledge Check 2020, NSG6101 Week 5 Knowledge Check 2020, NSG6101 Week 5 Knowledge Check 2020, NSG6101 Week 6 Knowledge Check 2020, NSG6101 Week 6 Knowledge Check 2020, NSG6101 Week 9 Knowledge Check 2020, NSG6101 Week 10 Knowledge Check
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NSG 6101 Week 4 Knowledge Check 2020, NSG6101 Week 5 Knowledge Check 2020, NSG6101 Week 5 Knowledge Check 2020, NSG6101 Week 6 Knowledge Check 2020, NSG6101 Week 6 Knowledge Check 2020, NSG6101 Week 9 Knowledge Check 2020, NSG6101 Week 10 Knowledge Check 2020/ Satisfaction Guaranteed
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NSG6101 Week 9 Knowledge Check 2020/ Satisfaction Guaranteed
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NSG6101 Week 9 Knowledge Check

Question 1 (1 point)
 
The measure of variability that takes into account all score values is the:
Question 1 options:
 
Range
 
Median
 
Mean
 
Standard deviation
Question 2 (1 point)
 
The mode is an index of:
Question 2 options:
 
Bivariate relationships
 
Central tendency
 
Skewness
 
Variability
Question 3 (1 point)
 
Which level of measurement permits the researcher to add, subtract, multiply, and divide?
Question 3 options:
 
Nominal
 
Ordinal
 
Interval...
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NSG6101 Week 5 Knowledge Check 2020/ Satisfaction Guaranteed
- Study guide • 3 pages • 2020
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NSG6101 Week 5 Knowledge Check

Question 1 (1 point) 
The research design for a quantitative study involves decisions with regard to the following 
Question 1 options:
 
Whether there will be a theoretical context
 
Whether there will be an intervention
 
What types of comparisons will be made
 
 How many times data will be collected

 
Question 2 (1 point)
One of the functions of a rigorous research design in a quantitative study is to have control over:
Question 2 options:
 
Dependent variab...
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NSG6101 Week 6 Knowledge Check 2020/ Satisfaction Guaranteed
- Study guide • 3 pages • 2020
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NSG6101 Week 6 Knowledge Check

Question 1 (1 point)
 
Sampling may be defined as the:
Question 1 options:
 
Identification of the set of elements used for selecting study participants
 
Process of selecting a subset of the population to represent the entire population
 
Aggregation of study participants who meet a designated set of criteria for inclusion in the study
 
 Technique used to ensure that every element in the population has an equal chance of being included in the study
Question 2 (...
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