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Population Health Case Study
Student Name
Institutional Affiliation
Course
Professor Name
Date
, 2
Population Health Case Study
Target Population
The study aims to assess the population's awareness of the physical activity guidelines in
the city. Therefore, the study's target population is the city’s residents, with a population of
100,000. Various sources of bias may be witnessed in such studies, especially with a large
population. They include sampling and selection bias, attrition bias and under-coverage bias.
Other biases may include convenience sampling bias and unresponsive bias. Some of the simple
steps that will be taken include integrating diverse demographics and distributing the research
across a broad geographical location. Sampling bias could also be resolved using random
sampling techniques to minimize bias issues.
Values
Population—(N)—this is the city's total population—100 000.
The margin of error (E)- 0.07- this is the acceptable deviation.
Confidence Interval- (CI)- 95%.
Z score- the Z score is based on the 95% C. I am 1.96
Proportion- estimated proportion is 50%- 0.5 because a previous number is not provided.
Proportion or Mean
Proportion is used in this research because of the nature of the variables. For instance, the
desired outcome for this study is to determine the frequency, including in various categories.
Therefore, the proportion will be more accurate. The proportion of 0.5 indicates sufficiency even
in unknown true proportions.
Sample Size and Adequacy
Calculation method;
Population Health Case Study
Student Name
Institutional Affiliation
Course
Professor Name
Date
, 2
Population Health Case Study
Target Population
The study aims to assess the population's awareness of the physical activity guidelines in
the city. Therefore, the study's target population is the city’s residents, with a population of
100,000. Various sources of bias may be witnessed in such studies, especially with a large
population. They include sampling and selection bias, attrition bias and under-coverage bias.
Other biases may include convenience sampling bias and unresponsive bias. Some of the simple
steps that will be taken include integrating diverse demographics and distributing the research
across a broad geographical location. Sampling bias could also be resolved using random
sampling techniques to minimize bias issues.
Values
Population—(N)—this is the city's total population—100 000.
The margin of error (E)- 0.07- this is the acceptable deviation.
Confidence Interval- (CI)- 95%.
Z score- the Z score is based on the 95% C. I am 1.96
Proportion- estimated proportion is 50%- 0.5 because a previous number is not provided.
Proportion or Mean
Proportion is used in this research because of the nature of the variables. For instance, the
desired outcome for this study is to determine the frequency, including in various categories.
Therefore, the proportion will be more accurate. The proportion of 0.5 indicates sufficiency even
in unknown true proportions.
Sample Size and Adequacy
Calculation method;
