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Mathematics

University of Phoenix

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PART 1.

Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval can be enhanced by increasing the sample size.

Write a 250- to 300-word response to the following:

  • What is the role of sample size in the calculation of confidence intervals?
  • What factors might determine the size of an ideal sample in your dissertation study?

Reference: Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: SAGE Publications, Inc.

PART 2.

Reply in 150 or more words

Here is something I learned recently. I had a student who used a second party data collection cite. He received the data and sample size he needed but most of the data was filled out as all zeros or all 10s as the participant did not actually take the survey and just filled it out quickly. Do you think this data should count and what can we do if this occurs?

PART 3

Write a 250- to 300-word response to the following:

  • How can estimation errors threaten the validity of a study? Cite specific examples from your experience to support your response.

PART 4

Reply In at least 150 words.

When we look at estimating errors, this can be a key reflection of the validity of the sample data. For example, as systematic estimation errors increase validity decreases. Likewise, as systematic estimation errors decrease, validity increases. Why do you think that is?

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Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence
interval could be enhanced by increasing the sample size.
Write a 250- to 300-word response to the following:


What is the role of sample size in the calculation of confidence intervals?



What factors might determine the size of an ideal sample in your dissertation study?

Sample size refers to a section of the population that is in use in statistical analysis. On the
other hand, the confidence interval refers to the range that depicts how accurate feedback is. The
confidence level represents how sure data can be. 95% is the most common confidence level
among researchers. The sample size has three major factors that play a role in the calculation of
confidence intervals when desiring a particular confidence level, coupled up with the percentage
and the size of the population. When there is a large sample size, the certainty of the confidence
level is enhanced. Consequently, the confidence level associated with a large sample is very
likely to have a smaller confidence interval in relation to the small ...


Anonymous
Excellent resource! Really helped me get the gist of things.

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