Step 2: Consider the use of confidence intervals in health sciences with these articles as
inspiration and insights.
The articles explain how to compare the confidence interval of 2 mean scores to determine if
they are or not significantly different. An example in health care is measuring pulse rates in
children that are active and non-active. We should see an increased pulse rate in the children
that are active. We would then have to determine if this difference is statistically significant?
When we look at the ranges of normal pulse rates between active and non-active children
separately, we can see if the average pulse rates we received both cases overlap in the ranges.
If they do overlap, then we can conclude that the difference is not statistically significant. If the 2
values do not overlap, then the difference would be significant.
Step 3: Using the data you collected for the Week 5 Lab (heights of 10 different people
that you work with plus the 10 heights provided by your instructor), discuss your method
of collection for the values that you are using in your study (systematic, convenience,
cluster, stratified, simple random). What are some faults with this type of data collection?
What other types of data collection could you have used, and how might this have
affected your study?