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Qnt Team Reflection

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Week 4 Team D Reflection
Christopher Gonzalez, Jennifer Mai, Leonel Perez
QNT 351
March 7, 2014
Mr. Victor Ornelas

Week 4 Team D Reflection

In week four, Team D read about the steps in testing a research hypothesis, comparing the means of two or more groups, and calculating the correlation between two variables. The following paper will go in to more depth on what was discussed and what we learned as a team as well as individuals. The team also was able to go over the Mystat lab that we were assigned in the individual assignment.

In step one a team would state a null hypothesis as well as an alternate hypothesis. The null hypothesis is used only for testing. We either reject or fail to reject the null hypothesis. The alternate hypothesis is accepted if sample data provide enough evidence that the null hypothesis is false. No matter what the problem looks like the null hypothesis will always contain the equal sign. This is true because since the null hypothesis is being tested there is a need for a specific value to be seen in the calculations.

When comparing the means of two or more groups the team must state the null hypothesis. Random samples of each population must be chosen to show the formula in a working status. To get a more accurate sample a higher number of the populations should be used. An independent sample T-test is used to compare the means of two or more groups. Pooled variance can be used if the variances of the two populations being tested are constant.

The correlation between two variables describes the likelihood that a change in one variable will cause a proportional change in the other variable. A high correlation between two variables suggests they share a common cause or a change in one of the variables is directly responsible for a change in the other variable.

The team reflection was divided by the three members of

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