Hypothesis Testing Paper
Hypothesis Testing Paper
Team A
PSY/315
July 7, 2014
Instructor: Regina Pendergrass
Inside statistics, it has to be understood what hypothesis testing is to find and verify research to be studied. Hypothesis testing is a form of research that is used to show how a certain issue will end or how the researcher(s) think the issue will end in the environment that it is situated. The testing will show that even though an answer may form, it does not prove the answer is correct secondary to the fact that there can me many factors that could change the outcome; this is where researchers can use probability rates of five or one percent. In understanding hypothesis testing, it must be known what the difference between null and research hypothesis means. A null hypothesis attempts to show that there is no variation between variables or that a single variable is actually no different from zero. A null hypothesis is what the researcher attempts to disprove, reject, or nullify. The research hypothesis is the specific testable predictions made about the independent and dependent variables inside the study. With the research hypothesis, it matches what the researcher(s) is attempting to prove true inside the problem or issue.
Hypothesis testing inside statistics pushes the traditional acceptances of trying to prove a correct hypothesis. With hypothesis testing, it is a matter of accepting what has already been presented and the testing verifies what is to true. With this presentation, we are seeking to find a commonality in why individuals join the United States Navy. The issue that we have brought to the testing table is, "to find out if the number one reason active duty Navy personnel join the Navy is financial stability." In forming this issue to build a hypothesis on, we will focus on numerical values to present data to quench the answer of the issue.
Research Issue Team A has decided to look at the issue of why Navy personnel have joined the Navy. Our
Team A
PSY/315
July 7, 2014
Instructor: Regina Pendergrass
Inside statistics, it has to be understood what hypothesis testing is to find and verify research to be studied. Hypothesis testing is a form of research that is used to show how a certain issue will end or how the researcher(s) think the issue will end in the environment that it is situated. The testing will show that even though an answer may form, it does not prove the answer is correct secondary to the fact that there can me many factors that could change the outcome; this is where researchers can use probability rates of five or one percent. In understanding hypothesis testing, it must be known what the difference between null and research hypothesis means. A null hypothesis attempts to show that there is no variation between variables or that a single variable is actually no different from zero. A null hypothesis is what the researcher attempts to disprove, reject, or nullify. The research hypothesis is the specific testable predictions made about the independent and dependent variables inside the study. With the research hypothesis, it matches what the researcher(s) is attempting to prove true inside the problem or issue.
Hypothesis testing inside statistics pushes the traditional acceptances of trying to prove a correct hypothesis. With hypothesis testing, it is a matter of accepting what has already been presented and the testing verifies what is to true. With this presentation, we are seeking to find a commonality in why individuals join the United States Navy. The issue that we have brought to the testing table is, "to find out if the number one reason active duty Navy personnel join the Navy is financial stability." In forming this issue to build a hypothesis on, we will focus on numerical values to present data to quench the answer of the issue.
Research Issue Team A has decided to look at the issue of why Navy personnel have joined the Navy. Our