In a clinical trial, 17 out of 900 patients taking a prescription drug complaint of flu like symptoms. Suppose that it is known that 1.3% of the patients taking competing drugs complain of flu like symptoms. Is there sufficient evidence to conclude that more than 1.3% of the drugs user experience food like symptoms as a side effect at the 0.01 level of significance? what are the normal and alternative hypothesis?
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
In a clinical trial, 17 out of 900 patients taking a prescription drug complaint of flu like symptoms. Suppose that it is known that 1.3% of the patients taking competing drugs complain of flu like symptoms. Is there sufficient evidence to conclude that more than 1.3% of the drugs user experience food like symptoms as a side effect at the 0.01 level of significance?
what are the normal and alternative hypothesis?
 alt="In a clinical trial, 17 out of 900 patients taking a prescription drug complained of flulike symptoms. Suppose that it is known that 1.3% of patients taking competing
drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than 1.3% of this drug's users experience flulike symptoms as a side effect at the
a= 0.01 level of significance?
What are the null and alternative hypotheses?
Ho p
versus H, p
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