There are a lot of ways to test for an hypothesis. There are known five steps of a test of hypothesis through the use of the critical value approach. They are;
- One has to Specify the Null Hypothesis.
- You have to also specify the Alternative Hypothesis.
- Then you set the Significance Level.
- Calculate the Test Statistic and Corresponding P-Value.
- Lastly, Draw a Conclusion.
<h3> The critical value approach?
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- This is known as a method that involves the determining of the "likelihood" or "unlikelihood" by knowing if or not the observed test statistic is said to be of a more extreme measure than would be expected if the null hypothesis were true.
It often uses the sample data and then there is an assumption if the null hypothesis is true before one can calculate the value of the test statistic.
Learn more about the critical value approach from
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the answer it's a sanitary pad please
Secondary or both primary and secondary
It’s either one I believe
-<3 sorry if I’m wrong!
Hello! An answer I can give you is the “Chinese exclusion Act”
This act was published May of 1882 and repealed December of 1943.
Answer:
b. The number of digits in a randomly selected row until a 3 is found.
Explanation:
A random variable often used in statistics and probability, is a variable that has its possible values as numerical outcomes of a random experiment or phenomenon. It is usually denoted by a capital letter, such as X.
In statistics and probability, random variables are either continuous or discrete.
1. A continuous random variable is a variable that has its possible values as an infinite value, meaning it cannot be counted.
2. A discrete random variable is a variable that has its possible values as a finite value, meaning it can be counted.
Also, any random variable that meets certain conditions defined in a research study.
Hence, an example of a geometric random variables is the number of digits in a randomly selected row until a 3 is found.
