Chi-Square Test Study the Focus of the Research Proposal

Open, View, and/or
Download this Document

Total Length: 976 words ( 3 double-spaced pages)

Total Sources: 1

Page 1 of 3

Chi-Square Test Study

The focus of the research is to use the Chi-Square analysis to test whether the use of marijuana is less dangerous than alcohol. Over the years, there is high number of related deaths linked to alcohol in the United States, and comparably, there are no related deaths linked to the Marijuana use. A report from Center for Disease Control and Prevention (2013) reveals there is no category of marijuana related deaths. In California where marijuana use is legalized, there were over 9,000 alcohol related deaths between 2001 and 2005 and no record of marijuana related deaths recorded during the period.

Is the use of Marijuana less dangerous than alcohol in the United States?

Statistical Test to the Research Question

The chi-square is chosen to the research question because it is appropriate to test the hypothesis. Typically, the chi-square is used to determine a significant difference between the observed frequencies and expected frequencies. The chi-square is appropriate for the research questions because it will be used to determine the difference between the expected frequency and observed frequencies of the respondents who agree that marijuana use is less dangerous than alcohol in the United States

Null and Alternative Hypotheses

Null hypothesis Ho: There is no statistical significance difference between the death linked to Marijuana use and alcohol in the United States.

Alternative Hypothesis H1: There is statistical significance difference between the death linked to Marijuana use and alcohol in the United States.

Stuck Writing Your "Chi-Square Test Study the Focus of The" Research Proposal?

View All Our Example Chi-Square Test Study the Focus of the Research Proposal

Have A Custom Example Essay Written



Types of Errors

Type -I error and type-II error are the type of errors than can occur in this study. Alpha is the probability of making a type-I error revealing the probability of the study to reject the null hypothesis when it is true. In the type-I error, the value of alpha is 0.05 from a 95% confidence. On the other hand, there is a 5% probability that the study will reject the null hypothesis revealing that one out 20 hypothesis tested will result to type-I error.

Beta is the probability of making other error, which is a type-II error. The type-II error reveals the probability of accepting the null hypothesis when it is false. Type-II error occurs when the study does not reject the null hypothesis despite that it is false. For example, the type-II error will occur when the study accepts that there is no statistical significance difference between the death linked to Marijuana use and alcohol in the United States and while in reality there is a statistical significance difference.

Method

This section discusses the method of selecting participants used for the study. The identification of variables is also discussed, which the study attempts to test.

Participants

Participants will consist of healthcare professionals and health statisticians across The study will focus on the healthcare professionals and health statisticians because these set of participants will be able to provide an objective opinion on the difference between the death.....

Show More ⇣

     Open the full completed essay and source list


OR

     Order a one-of-a-kind custom essay on this topic


sample essay writing service

Cite This Resource:

Latest APA Format (6th edition)

Copy Reference
"Chi-Square Test Study The Focus Of The" (2013, July 22) Retrieved May 21, 2025, from
https://www.aceyourpaper.com/essays/chi-square-test-study-focus-93260
   

Open, View, and/or
Download this Document
order custom essay example