Statistics for Bi - Hypothesis Testing

Hypothesis testing and development provides a baseline for taking ideas or theories that were initially created by another person in regards to the markets, economy, or investing and then determining if the

Hypothesis is typically used in quantitative research only. Moreover, when a question poses an inquiry on the relationship between two variables, a hypothesis is a statement declarative in nature of the relationship between different variables (Pajares 2007). A researcher chooses whether to use a question or a hypothesis depending on the purpose of the research, its objectives, the methodology for the research and the preference of the audience to receive the research. A researcher must be able to interpret the final outcome with reference to the research questions or the hypothesis used (Pajares 2007). A research requires a minimum of two hypotheses namely a null and an alternative hypothesis.

Below all five steps of hypothesis testing will be examined to determine what the researcher should conclude:

11. List the five steps of hypothesis testing, and explain the procedure and logic of each.

2) A correlation matrix…A.Shows all simple coefficients of correlation between variablesB. shows only correlations that are zeroC. shoes the correlations that are positiveD. shows only the correlations that are statistically significant

The first thing you need to do with the scientific method is to identify your problem. The problem is the question you want to solve. Not all questions can be solved. Second is make a hypothesis, its an educated guess. You can’t just guess

findings. It is composed of several steps, it starts with observations. Observations are where a person collects known data concerning what you are going to test on. Next they formulate a hypothesis based on their observations. After they have a hypothesis they

Generally, theory and hypothesis are often used interchangeably but they are two separate factors of a research study. A theory summarizes information about an occurrence and organizes this information serving as a source for predictions. Researchers then deduce the theories into a hypothesis that is to be tested through objective observations.

8. What is the basic logic of the comparative method? Answer using no more than 1-2 sentences.

Phase 4 - Model/Design/Development: depend on the problem area, data maturity and the expected benefits from the predictive model in the data science project, the analytical modeling method will be chosen. Analytical modeling includes descriptive, predictive, and prescriptive analysis using machine learning algorithms such as regression, clustering, or classification.

If I understand this correctly, in order to do a 2-sample hypothesis test to find out which class (microeconomics or macroeconomics) yields a higher grade with students the population must be independent. Meaning students in your sample can only have taken one of the two classes. In your hypothesis test this would be important to reduce the cross learning of concepts thus increasing the accuracy of your test.

Verification (making sure that the findings are correct considering the design and basic limitations of the experiment). This is done by:

Do Major League Baseball teams with higher salaries win more frequently than other teams? Although many people believe that the larger payroll budgets win games, which point does vary, depending on the situation. “…performances by individual players vary quite a bit from year to year, preventing owners from guaranteeing success on the field. Team spending is certainly a component in winning, but no team can buy a championship.” (Bradbury). For some, it’s hard not to root for the lower paid teams. If the big money teams, like Goliath, are always supposed to win, it’s hard not cheer for David. This paper will discuss the effects of payroll budgets on the percentage of wins for the 30 Major League

Familiarise yourself with the data set provided. This will include doing research to help you understand the variables and develop a purpose for the investigation.

Hypothesis testing is basically a process that uses statistical inference to test claims about population parameters. In hypothesis testing we begin by making a tentative assumption about a population parameter. This assumption is called the null hypothesis and is denoted by Ho. We then define another hypothesis, called the alternative hypothesis, which is the opposite of what is stated is the null hypothesis. The alternative hypothesis is denoted by Ha. The hypothesis testing procedure involves using data from a sample to test the competing claims indicated by the null and alternate hypotheses.