Final answer:
A quantitative study's purpose statement on tuberculosis in a squatter community could focus on prevalence and correlating factors. Probability sampling enables generalizing results, whereas transferability relates to applying qualitative findings in other contexts.
Step-by-step explanation:
An example of a purpose statement for a quantitative study on tuberculosis (TB) in a squatter community could be: "The purpose of this quantitative study is to determine the prevalence of tuberculosis among residents of a squatter community and to identify any correlating socio-economic factors."
Probability sampling is a technique used in research where each member of the population has a known, non-zero chance of being selected in the sample. This allows for the generalization of results from the sample to the entire population within known confidence limits.
Transferability in qualitative research refers to the extent to which qualitative research findings can be transferred to other contexts or settings. It is akin to generalizability in quantitative research but acknowledges that each context is unique; hence it is up to the reader to determine whether the findings can be applied to another situation.
- For the probability of at least four of the 25 patients having the flu, further data is needed, such as the incidence or base rate of flu within the population.
- The expected number of patients to have the flu out of 25 could be estimated if the base rate of flu incidence was known.
The kind of data collected by recording the number of letters in the first 250 words from a Tom Clancy novel is Quantitative continuous data because it involves numerical values that can potentially take on any value within a range.