Team D Reflection
The objectives for week four were to apply the steps in testing a research hypothesis, compare the means of two or more groups, and calculate the correlation between two variables. The things that team D struggled with this week was computing a significance level into a numeric form when conducting a test hypothesis, and using the math side of statistics to answer real life calculations given in the Math Lab.
The Steps in Testing a Research Hypothesis
The team had an easier time understanding hypothesis; research and testing. In our readings this week it was explained that are five steps to follow when testing a research hypothesis. When doing this the researcher is trying to disprove or prove the question(s) at hand. One of the team members listed the five steps in the hypothesis research process which are State the research question, develop a null hypothesis and alternative hypothesis, conduct test statistic and decide between null hypothesis and alternative hypothesis.
One of the team members felt that finding the correlation between two variables can be very useful in understanding the relationship and the percentage of relation. An example of calculating the correlation between two variables would be comparing your income prior to college in comparison to your income after college.
Testing a hypothesis is a vital part of research this will enable the parties involved to identify if the thought or prediction is actually a valuable theory. In nature a hypothesis is a theory or prediction to some individuals involving the connection between a number of different variables. Studies are necessary to proof the validity of the theory or prediction made.
Comparing the Means of Two or More Groups
When comparing ...
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...ts are submitting the proper data.
Conclusion
The overall consensus of the team is that the majority of the concepts in this week’s material were difficult to grasp, but once the concept was understood it became easier to apply in real world context.
References
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Lind, D. A., Marchal, W. G., & Wathen, S. A. (2011). Basic Statistics for Business & Economics (7th ed.). New York, NY: McGraw-Hill/Irwin.
Within the target site of the experiment, researchers wanted to answer their hypothesis; hypothesis was that increased police
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48): A research hypothesis is a researcher’s prediction of the expected results of a study. Research hypotheses can be directional, in which the researcher states the exact “nature of the expected difference or relationship” between factors, or nondirectional, in which the researcher states that there will be some type of relationship between factors, but is not yet sure what that relationship will be. (McMillan, 2012, p. 48)
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Montgomery, Alan L.; Rossi, Peter E., Estimating Price Elasticities with Theory-Based Priors, Journal of Marketing Research, Nov99, Vol. 36 Issue 4.
Hypothesis (pg. 47) – a proposed statement of results made about a problem in a research study that is expected. An example of a hypothesis would be “If college football players play a full game of 60 minutes, then they are 70% more prone to concussions.”
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Defining the research problem (questions) is the first step in the research process. This means to define the problem to be researched and what we want to find out. It is also important to determine whether it starts from some existing theories or hypotheses. The research is conducted to prove whether or not these assumptions are true.