Hypothesis testing is a well-structured process that consists of several logical steps, and it aims at refining a business decision. Hypothesis testing is a quite common technique used by researchers. With regard to hypothesis testing, answer the following questions. What are the steps to conduct a hypothesis test? How does a researcher determine which statistical test to conduct? How does a researcher determine which level of significance to use? What software programs can be used to compute these tests? Where is the critical test value found? How can one determine if the null hypothesis should be rejected? Give a business example on each of the three possible cases of hypothesis testing. Do you think the rejection region will be different in each one of the three cases? Why? Why not? Justify your answers using examples and reasoning.

What are the key differences between exploratory data analysis (EDA) and hypothesis testing when it comes to the context of data mining, and why do analysts make use of EDA?

You may need to use the appropriate technology to answer this question. Management Decision Systems (MDS) is a consulting company that specializes in the development of decision support systems. MDS has a four-person team working on a current project with a small company to set up a system that scrapes data from a collection of websites and then automatically generates a report for management on a daily basis.       Time (Weeks) Activity Description ImmediatePredecessor Optimistic Most Probable Pessimistic A Report generation   2 9 13 B Web scraping   6 10 12 C Testing A, B 1 1 1 (a) Construct the project network. (Submit a file with a maximum size of 1 MB.) (b) Based solely on the critical path, estimate the probability that the project will be complete within 12 weeks. (Round your answer to four decimal places.) It is not 0.9099   (c) Using all paths through the project network, estimate the probability that the project will be complete within 12 weeks. (Round…

When using evidence-based analytics in decision making, measurement is an essential tool in gauging progress. However, the leader needs to assess data based on the following consideration(s). Check All That Apply To what extent is the measurement an accurate representation of the success of the change initiative?To what extent is the measurement an accurate representation of the success of the change initiative? What is the relationship between the time of the measurement being reported and the timeframe over which the benefits of the change is expected to be delivered?What is the relationship between the time of the measurement being reported and the timeframe over which the benefits of the change is expected to be delivered? What are the components of the measurement being monitored e.g. internal and/or external environmental factors and to what extent are they relevant to the organizational change?What are the components of the measurement being monitored e.g. internal…

The following should be considered: Consider if predictive analytics, such as the use of big data, would have succeeded in marketing if it had been used 15 years ago. Is there a reason why this is the case?

The Open Science Framework has developed different badges to recognize ethical and transparent practices. Which badge indicates that the researchers have made their raw data available to others wishing to conduct their own analyses of these data? a. Open materials b. Open statistics c. Open data d. Open access

You are a police chief in a mid-size town and the city manager has tasked you with investigating the increase in homelessness in the downtown business district.  The city manager advises you that he and the city council have been getting phone calls over the past two weeks from business owners complaining that homeless individuals are sleeping in their entrance ways and scaring their customers by panhandling.  Using the interpretive planning and the emergent approach, discuss with the city manager how to plan and address this task.

A company uses patient DNA for research without the patient's knowledge or consent. Identify the ethical concern and at what step in the scenario the ethical concern(s) occurred. Explain how evidence-based research can eliminate or minimize ethical concerns in the health care industry. Compare research studies and quality management projects as they relate to the health care industry. Explain external factors that have an impact on the ethical concern in the scenario. Summarize the relationship between ethics and health care research using your chosen ethical scenario.

What is a research question you think should be studied in the healthcare industry? How can you change that research question into a hypothesis? Why is research important in the healthcare industry?

We want to estimate the average purchasing cost of new carspurchased in the last six months. We want a marginerror of $100 at a confidence level of 99%. Aftera preliminary deduction of 50 purchase costs, it is estimatedthe standard deviation at $725. Up to what sample size should wecontinue the investigation?