Respuesta :
The correct answer is B. Increase the sample size and modify the design of the survey to decrease the standard deviation.
What is confidence level?
The confidence level in statistics denotes the likelihood that the estimation of the position of such a statistical parameter (e.g., an arithmetic mean) in a survey study is also true for such population.
Some characteristics of confidence level are-
- When executing a survey, levels of confidence should be defined ahead of time because they determine the error margin as well as the required scope of the survey.
- Confidence ratings of 90/95/99% are regularly employed in surveys.
- If a confidence level is set at 95%, a derived statistical value based on a sample will likewise be true for the entire population within the set confidence level - with a 95% chance.
- In other words, the chances of the arithmetic mean (like a statistical number) of a population being exactly inside the margins of error calculated for the survey using a sample are very high.
To know more about the confidence level, here
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The complete question is-
A researcher is conducting a survey for which she currently has 93% confidence level. What would be two actions that she could take that would be most likely to increase the confidence level in her survey result?
A. Increase the sample size and modify the design of the survey to increase the standard deviation.
B. Increase the sample size and modify the design of the survey to decrease the standard deviation.
C. Decrease the sample size and increase the randomness of the survey sample.
D. Modify the design of the survey to increase the standard deviation and decrease the randomness of the survey sample
