Determine whether the claim stated below represents the null hypothesis or the alternative hypothesis. If a hypothesis test is performed, how should you interpret a decision that (a) rejects the null hypothesis or (b) fails to reject the null hypothesis? A researcher claims that more than 85% of people had at least one health care visit in the past year. Does the claim represent the null hypothesis or the alternative hypothesis? Since the claim ▼ does not contain contains a statement of equality, it represents the ▼ null alternative hypothesis. (a) How should you interpret a decision that rejects the null hypothesis? There is ▼ sufficient insufficient evidence to ▼ support reject the claim that more than 85% of people had at least one health care visit in the past year. (b) How should you interpret a decision that fails to reject the null hypothesis? There is ▼ insufficient sufficient evidence to ▼ support reject the claim that more than 85% of people had at least one health care visit in the past year
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 hypothesis testing, a null hypothesis can be defined as the hypothesis of no difference or equality, whereas an alternative hypothesis can be defined as the claim we are testing.
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