The proposal will carry out the chi-square statistical test to understand whether the marijuana or alcohol cause more death. There is a general believe that marijuana is more dangerous to heath than alcohol, yet, there are more death linked to alcohol than the marijuana. The study will investigate which of the two variables cause more death. The findings of the study will assist the policy makers to take a non-bias action on alcohol or marijuana use.
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.
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 United States. 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 linked to alcohol and marijuana. The total number of 50 participants will be selected and the participants will consist of health professional health statistician between the age of 25 and 65. The study will send email survey to prospective 500 participants to achieve the required 50 participants for the study.
There would be 30 male and 20 female participants, and the participants will be selected for the study through email survey. The procedure will consist of randomly selecting 500 participants and the email of the prospective participants will be retrieved from the professional database that matches the study criteria. The questionnaires will be sent to the participants inviting them to participate the in the survey.
Identification of the Variables
Alcohol and Marijuana (independent variables) are linked to number of deaths (dependent variable) in the United States.
Alcohol (Independent Variable),
Marijuana (Independent Variable),
Death (Dependent Variable).
The study will use an ordinal scale to rank the number of death to alcohol and marijuana use, and the variable scales characteristics will be a discrete vs. continuous. Variable Alcohol is defined as the amount of alcohol to be consumed per day that could cause death to the user. On the other hand, variable marijuana is defined as the amount of roll of marijuana smoked per day that can lead to death. The dangerous level of both alcohol and marijuana is measured based on the number of death they cause. The entire variable will be measured numerically because numerical measurement has a quantitative meaning.
Results
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