True or False. Write True of the statement is correct and False if it is not. 1. Hypothesis testing is about verifying claims about a population parameter using sample data. 2. To test a claim about a population, one should carefully state a pair of hypotheses, one that represents the claim, and the other its complement. 3. The claim is always stated as a null hypothesis. 4. A type l error occurs if the null hypothesis rejected when it is true. 5. A type ll error occurs if the null hypothesis is not rejected when it is false. 6. The claim is the starting point of investigation. 7. The alternative hypothesis denotes the "absence" of significant difference/relationship or equality to a certain value. 8. The null hypothesis denotes "presence" of significant difference/relationship or inequality to certain value. 9. The level of significance refers to the degree of significance in which we accept or reject the null hypothesis. 10. A 90% confidence level has an appropriate level of significance equal to 0.01

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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.