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Null hypothesis is a statement that states that there is no relationship between two variables. It is used in statistical tests to determine whether a certain effect or result is due to chance or due to a specific cause. In other words, the null hypothesis is a hypothesis that states that there is no difference between two groups or samples.

In a quizizz, the null hypothesis is the statement that the quizizz is not related to the outcome of the quiz. It is used to test whether the quizizz results are due to chance or due to a specific cause. The null hypothesis is typically stated as “there is no difference between the results of the quizizz and the results of the actual quiz.”

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In order to test the null hypothesis, the researcher must collect data from the quizizz and compare it to the data from the actual quiz. If there is no difference between the two sets of data, then the null hypothesis is accepted and the quizizz results are not related to the outcome of the quiz. On the other hand, if there is a difference between the two sets of data, then the null hypothesis is rejected and the quizizz results are related to the outcome of the quiz.

The null hypothesis is an important concept in statistics and is used in many types of research. It is used to test the validity of a hypothesis and to determine the relationship between two variables. It is also used to test whether a certain effect or result is due to chance or due to a specific cause.