Need An Argumentative Essay On Descriptive Statistics Inferential Statistics Nee

Need an argumentative essay on Descriptive statistics/inferential statistics. Needs to be 2 pages. Please no plagiarism.

The study presents demographic statistics predominantly in the form of frequencies and percentages, and some in the form of means and S.D.’s. The data shows us that there is no significant difference in the data collected from the two different data-collection locations. Also, the participants were relatively similar on all pertinent background variables. so that the researchers could be relatively sure that outside influences did not confound the data.

The study results show that the mean scores for Asthma knowledge descended with lower reading levels (15.1 ± 2.5, 13.9 ± 2.5, 13.4 ± 2.8, and 11.9 ± 2.5). on the other hand, the Standard deviations for all four groups were nearly the same. That shows that the groups were relatively similar in their spread of scores. The consistently descending mean scores show that there are qualitative differences associated with the groups of participants qualifying at different reading levels. The similarity of the S.D’s though, helps us compare these groups with relative ease, as the homogeneity of the variance values shows us that we can compare the groups with some confidence.

There are some ethical concerns with gathering demographic and survey data that need to be kept in mind. Such research can be viewed as an invasion of privacy, as a lot of personal data is gathered. It is necessary to ensure complete confidentiality for all participants. Also, survey data depends on what the participant chooses to respond to, and how the participant chooses to respond. Thus, those who do respond may form only a part of the total population, and may differ from others significantly – a fact that may not get considered. Also, there is no way to always check the veracity of the collected responses.

2. Review the quantitative research article you described in the other threaded discussion, and describe what tests were used (e.g., t-tests and chi-squares). Given the p-values related to the tests, how do you interpret the