QNT 351
Team A Week Four Reflection
Through out the duration of this week there were several topics that members of this team found both struggling and straightforward. The discussions of topics lead team members to help one another understand the differences between the t-test and z-test. Additional topics in the discussions were how hypothesis testing is crucial to determining if the hypothesis is valid or false. One way to know if the hypothesis is valid is to determine the null hypothesis, which the opposite of the original theory, and tests against the alternative hypothesis, which correlates with the original hypothesis. To establish if the null hypothesis is valid statistical tests can help compare the means from two groups, and the results will verify if the theory is correct. These statistical tests, including the t-test and z-test are useful for determining the probability of truth to any hypothesis.
Furthermore, the relation to this week’s topics in this team’s members career fields demonstrate just how often hypothesis testing occurs to achieve an assortment of organization goals. Therefore, the following contents will describe the objectives of week four that relate to team members career fields by providing examples, reviewing topics of strength, and explain concepts of difficulty. These week four objectives include: the steps in testing a research hypothesis, comparing the means of two or more groups, and calculating the correction between two variables.
The team found a good discussion in the steps of hypothesis testing. The team all felt that the steps were easy to understand and agreed that the steps must be followed in order. The team discussed the five steps which include; Stating the Null Hypothesis (H0) and the Alternate Hypothesis (H1), Select a Level of Significance, Select the Test Statistic, Formulate the Decision Rule, and Make a Decision. The steps within the hypothesis testing must be followed in order because they feed off of
Through out the duration of this week there were several topics that members of this team found both struggling and straightforward. The discussions of topics lead team members to help one another understand the differences between the t-test and z-test. Additional topics in the discussions were how hypothesis testing is crucial to determining if the hypothesis is valid or false. One way to know if the hypothesis is valid is to determine the null hypothesis, which the opposite of the original theory, and tests against the alternative hypothesis, which correlates with the original hypothesis. To establish if the null hypothesis is valid statistical tests can help compare the means from two groups, and the results will verify if the theory is correct. These statistical tests, including the t-test and z-test are useful for determining the probability of truth to any hypothesis.
Furthermore, the relation to this week’s topics in this team’s members career fields demonstrate just how often hypothesis testing occurs to achieve an assortment of organization goals. Therefore, the following contents will describe the objectives of week four that relate to team members career fields by providing examples, reviewing topics of strength, and explain concepts of difficulty. These week four objectives include: the steps in testing a research hypothesis, comparing the means of two or more groups, and calculating the correction between two variables.
The team found a good discussion in the steps of hypothesis testing. The team all felt that the steps were easy to understand and agreed that the steps must be followed in order. The team discussed the five steps which include; Stating the Null Hypothesis (H0) and the Alternate Hypothesis (H1), Select a Level of Significance, Select the Test Statistic, Formulate the Decision Rule, and Make a Decision. The steps within the hypothesis testing must be followed in order because they feed off of