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Author Question: Test unit mortality refers to instances where researchers exceed the treatment and observation ... (Read 39 times)

ahriuashd

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on: Jun 29, 2018
Test unit mortality refers to instances where researchers exceed the treatment and observation deadlines specified in the experimental design.
 
 Indicate whether the statement is true or false

Question 2

Compare and contrast random sampling error and systematic (nonsampling) error. How does the researcher minimize these errors?


polinasid

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Reply #1 on: Jun 29, 2018
Answer to Question 1

F
Test unit mortality refers to test units withdrawing from the experiment while it is in progress.

Answer to Question 2

Random sampling error is the difference between the sample result and the result of an accurate census. It occurs because of chance variations in the selection of sampling units. The sampling units, even if properly selected according to sampling theory, may not perfectly represent the population because of chance variation. Random sampling error is a function of sample size, and as sample size increases, random sampling error decreases. Thus, researchers can reduce it my using larger samples. Systematic (nonsampling) errors result from nonsampling factors, primarily the nature of a study's design and the correctness of execution. These errors are systematic in some way and not due to chance fluctuations. Errors due to sample selection problems are nonsampling errors and should not be classified as random sampling errors. Researchers can reduce this type of error through competent sample design and implementation.


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