Data collection

1

Sea Proposal

Shy Phillips

Wilmington University

Inferential Statistics

March 13, 2022

The effectiveness of Ascorbic acid in preventing or curing the common

Common cold happens to be the most frequent irresistible infection in people. The average individual gets one a few times each year. Interestingly enough, ascorbic acid has frequently been professed to be a viable treatment through the years. However, this belief has not been shared by official bodies, authorities on nutrition, and physicians. This means that a hypothesis can be used to analyze the hypothesis.

I am interested in this question because of the controversies that have been around the subject since around when the then Nobel prize champ Linus Pauling promoted the hypothesis that ascorbic acid could aid treat colds. For this reason, I chose a hypothesis that focuses on analyzing whether or not ascorbic acid is effective in preventing or curing a common cold. The population to be looked into will be children worldwide aged between one and 12. According to Gunnars, for instance, "a supplemental dose of 1–2 grams was enough to shorten the duration of a cold by 18% in children, on average(Gunnars, 2018)." The latter hypothesis raises curiosity on the effectiveness of Ascorbic acid in preventing or curing a common cold, especially around children.

I will use simple random sampling. It is one of the most incredible probability examining methods that aid in saving resources and time. The former is a solid strategy for acquiring data where each individual from a populace is picked arbitrarily, just by some coincidence. Every individual has a similar likelihood of being decided to be part and parcel of a sample. Two hypotheses also determine the method; a) Null hypothesis: children given ascorbic acid are not likely to suffer from the common cold during the flu season. Alternative hypothesis: Children given ascorbic acid are less likely to suffer from the common cold during the flu season. The sample children will be divided into two, those taking ascorbic acid and those taking a placebo during the cold season. Besides, the data will also be collected through assessment of previous research and trials conducted on the research question.

A confounding variable that may limit the study is that there is no scientific evidence that justifies that ascorbic acid may prevent or cure a cold; it is instead a bunch of hypotheses that may deter the full participation of the research population and sample. There is also a belief that the common cold is incurable and it may come and go as it pleases, and the only that can assist is by dressing warmly and drinking home water.

I will choose the visual representation of information because information seen can never be forgotten. A bar chart is a graph that will suit perfectly with the research because it is perfect for plotting information assembled over a certain period. Plus, it is also the easiest when it comes to interpretation.

The type of analysis that I will perform will be the Inferential examination. It can decide and foresee the best outcomes by testing hypotheses of various subjects taken from gathering subjects. In this case, it will result from the previous research trials and investigations conducted together with that of children who will be offered ascorbic acid during the flu season compared to those given a placebo. A p-value, described as a probability that a notable difference could have happened, will also be used. It is (Emmert-Streib & Dehmer, 2019).

References

Emmert-Streib, F., & Dehmer, M. (2019). Understanding statistical hypothesis testing: The logic of statistical inference. Machine Learning and Knowledge Extraction, 1(3), 945-961.

Gunnars, K. (2018, April 24). Can vitamin C prevent or cure colds? Healthline. https://www.healthline.com/nutrition/does-vitamin-c-help-with- colds#TOC_TITLE_HDR_2